{"id":12239,"date":"2019-11-02T08:52:27","date_gmt":"2019-11-02T13:52:27","guid":{"rendered":"http:\/\/gisgeography.com\/?p=12239"},"modified":"2025-04-09T12:49:11","modified_gmt":"2025-04-09T17:49:11","slug":"earth-satellite-list","status":"publish","type":"post","link":"https:\/\/gisgeography.com\/earth-satellite-list\/","title":{"rendered":"The 50 Most Influential Satellites in Remote Sensing"},"content":{"rendered":"\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1000\" height=\"431\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Satellite-List-Feature.jpg\" alt=\"Satellite List Feature\" class=\"wp-image-96627\" style=\"object-fit:cover\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Satellite-List-Feature.jpg 1000w, https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Satellite-List-Feature-300x129.jpg 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Satellite-List-Feature-678x292.jpg 678w, https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Satellite-List-Feature-768x331.jpg 768w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><\/figure>\n\n\n\n<div class=\"wp-block-group\" style=\"padding-top:var(--wp--preset--spacing--30);padding-bottom:var(--wp--preset--spacing--30)\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<h3 class=\"wp-block-heading\">The BIG Satellite List<\/h3>\n\n\n\n<p>Join us on a journey through <strong>space and technology<\/strong> as we list the remarkable satellites that have paved the way in remote sensing.<\/p>\n\n\n\n<p>From weather forecasts to precise positioning, here are the <strong>50 most iconic satellites<\/strong> orbiting in space.<\/p>\n\n\n\n<p>Let&#8217;s get started.<\/p>\n<\/div><\/div>\n\n\n<style>.kb-row-layout-id12239_fa2d85-91 > .kt-row-column-wrap{align-content:start;}:where(.kb-row-layout-id12239_fa2d85-91 > .kt-row-column-wrap) > .wp-block-kadence-column{justify-content:start;}.kb-row-layout-id12239_fa2d85-91 > .kt-row-column-wrap{column-gap:var(--global-kb-gap-md, 2rem);row-gap:var(--global-kb-gap-md, 2rem);padding-top:10px;padding-bottom:25px;grid-template-columns:repeat(2, minmax(0, 1fr));}.kb-row-layout-id12239_fa2d85-91 > .kt-row-layout-overlay{opacity:0.30;}@media all and (max-width: 1024px){.kb-row-layout-id12239_fa2d85-91 > .kt-row-column-wrap{grid-template-columns:repeat(2, minmax(0, 1fr));}}@media all and (max-width: 767px){.kb-row-layout-id12239_fa2d85-91 > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}<\/style><div class=\"kb-row-layout-wrap kb-row-layout-id12239_fa2d85-91 alignnone wp-block-kadence-rowlayout\"><div class=\"kt-row-column-wrap kt-has-2-columns kt-row-layout-equal kt-tab-layout-inherit kt-mobile-layout-row kt-row-valign-top\">\n<style>.kadence-column12239_c6e12d-93 > .kt-inside-inner-col,.kadence-column12239_c6e12d-93 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_c6e12d-93 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_c6e12d-93 > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_c6e12d-93 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_c6e12d-93 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_c6e12d-93{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_c6e12d-93 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_c6e12d-93 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_c6e12d-93 inner-column-1\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">1. Landsat<\/h4>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"678\" height=\"315\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Landsat-678x315.jpg\" alt=\"Landsat\" class=\"wp-image-96581\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Landsat-678x315.jpg 678w, https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Landsat-300x140.jpg 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Landsat-768x357.jpg 768w, https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Landsat.jpg 800w\" sizes=\"auto, (max-width: 678px) 100vw, 678px\" \/><\/figure>\n\n\n\n<p>Landsat&#8217;s incredible long-lived legacy has archived Earth&#8217;s history for over 40 years. With countless applications, it even found the <a href=\"https:\/\/landsat.visibleearth.nasa.gov\/view.php?id=91972\" target=\"_blank\" rel=\"noopener noreferrer\">island Landsat in Canada<\/a>.<br> <font size=\"-2\">Image Credit: NASA<\/font><\/p>\n<\/div><\/div>\n\n\n<style>.kadence-column12239_ef4a38-a7 > .kt-inside-inner-col,.kadence-column12239_ef4a38-a7 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_ef4a38-a7 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_ef4a38-a7 > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_ef4a38-a7 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_ef4a38-a7 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_ef4a38-a7{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_ef4a38-a7 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_ef4a38-a7 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_ef4a38-a7 inner-column-2\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">2. Sentinel<\/h4>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"678\" height=\"371\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Sentinel-678x371.jpg\" alt=\"Sentinel\" class=\"wp-image-96577\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Sentinel-678x371.jpg 678w, https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Sentinel-300x164.jpg 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Sentinel-768x420.jpg 768w, https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Sentinel.jpg 800w\" sizes=\"auto, (max-width: 678px) 100vw, 678px\" \/><\/figure>\n\n\n\n<p>As part of the <a href=\"https:\/\/gisgeography.com\/sentinel-satellites-copernicus-programme\/\">Copernicus Programme<\/a>, Sentinel&#8217;s fleet of 6 missions is a game changer. Specifically, <a href=\"https:\/\/gisgeography.com\/how-to-download-sentinel-satellite-data\/\">Sentinel-2<\/a> is a clear upgrade to Landsat, except that it&#8217;s missing the thermal band.<br> <font size=\"-2\">Image Credit: ESA<\/font><\/p>\n<\/div><\/div>\n\n<\/div><\/div>\n\n<style>.kb-row-layout-id12239_b050a4-62 > .kt-row-column-wrap{align-content:start;}:where(.kb-row-layout-id12239_b050a4-62 > .kt-row-column-wrap) > .wp-block-kadence-column{justify-content:start;}.kb-row-layout-id12239_b050a4-62 > .kt-row-column-wrap{column-gap:var(--global-kb-gap-md, 2rem);row-gap:var(--global-kb-gap-md, 2rem);padding-top:10px;padding-bottom:25px;grid-template-columns:repeat(2, minmax(0, 1fr));}.kb-row-layout-id12239_b050a4-62 > .kt-row-layout-overlay{opacity:0.30;}@media all and (max-width: 1024px){.kb-row-layout-id12239_b050a4-62 > .kt-row-column-wrap{grid-template-columns:repeat(2, minmax(0, 1fr));}}@media all and (max-width: 767px){.kb-row-layout-id12239_b050a4-62 > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}<\/style><div class=\"kb-row-layout-wrap kb-row-layout-id12239_b050a4-62 alignnone wp-block-kadence-rowlayout\"><div class=\"kt-row-column-wrap kt-has-2-columns kt-row-layout-equal kt-tab-layout-inherit kt-mobile-layout-row kt-row-valign-top\">\n<style>.kadence-column12239_6e79ea-36 > .kt-inside-inner-col,.kadence-column12239_6e79ea-36 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_6e79ea-36 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_6e79ea-36 > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_6e79ea-36 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_6e79ea-36 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_6e79ea-36{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_6e79ea-36 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_6e79ea-36 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_6e79ea-36 inner-column-1\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">3. Terra<\/h4>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"425\" height=\"281\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Terra-425x281.png\" alt=\"Terra satellite\" class=\"wp-image-12260\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Terra-425x281.png 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Terra-300x198.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Terra-678x448.png 678w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Terra-50x33.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Terra-150x100.png 150w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Terra-200x132.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Terra-550x364.png 550w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Terra-115x76.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Terra-234x155.png 234w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Terra.png 726w\" sizes=\"auto, (max-width: 425px) 100vw, 425px\" \/><\/figure>\n\n\n\n<p>As part of NASA\u2019s multi-talented A-Train fleet, <a href=\"https:\/\/terra.nasa.gov\" target=\"_blank\" rel=\"noopener noreferrer\">Terra<\/a> is the jack-of-all-trades  For example, ASTER models terrain, <a href=\"https:\/\/gisgeography.com\/modis-satellite\/\">MODIS<\/a> classifies land cover and MOPITT monitors air quality.<\/p>\n\n\n\n<p><font size=\"-2\">Image Credit: NASA<\/font><\/p>\n<\/div><\/div>\n\n\n<style>.kadence-column12239_c94c99-4f > .kt-inside-inner-col,.kadence-column12239_c94c99-4f > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_c94c99-4f > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_c94c99-4f > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_c94c99-4f > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_c94c99-4f > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_c94c99-4f{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_c94c99-4f > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_c94c99-4f > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_c94c99-4f inner-column-2\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">4. EnviSAT<\/h4>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" width=\"425\" height=\"272\" class=\"alignnone size-medium-large wp-image-12427\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/envisat-425x272.png\" alt=\"envisat\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/envisat-425x272.png 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/envisat-300x192.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/envisat-50x32.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/envisat-200x128.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/envisat-115x73.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/envisat-243x155.png 243w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/envisat.png 446w\" sizes=\"auto, (max-width: 425px) 100vw, 425px\" \/><br>Before losing contact in 2012, <a href=\"https:\/\/earth.esa.int\/web\/guest\/missions\/esa-operational-eo-missions\/envisat\" target=\"_blank\" rel=\"noopener noreferrer\">EnviSAT<\/a> did it all. For instance, it studied the oceans, terrain, and atmosphere. But now, it&#8217;s not operational. Because of its massive frame (8 tons), it is a candidate to be removed from orbit.<br><br> <font size=\"-2\">Image Credit: Airbus &amp; Defense\/ESA<\/font><\/p>\n<\/div><\/div>\n\n<\/div><\/div>\n\n<style>.kb-row-layout-id12239_f3e1c2-7e > .kt-row-column-wrap{align-content:start;}:where(.kb-row-layout-id12239_f3e1c2-7e > .kt-row-column-wrap) > .wp-block-kadence-column{justify-content:start;}.kb-row-layout-id12239_f3e1c2-7e > .kt-row-column-wrap{column-gap:var(--global-kb-gap-md, 2rem);row-gap:var(--global-kb-gap-md, 2rem);padding-top:10px;padding-bottom:25px;grid-template-columns:repeat(2, minmax(0, 1fr));}.kb-row-layout-id12239_f3e1c2-7e > .kt-row-layout-overlay{opacity:0.30;}@media all and (max-width: 1024px){.kb-row-layout-id12239_f3e1c2-7e > .kt-row-column-wrap{grid-template-columns:repeat(2, minmax(0, 1fr));}}@media all and (max-width: 767px){.kb-row-layout-id12239_f3e1c2-7e > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}<\/style><div class=\"kb-row-layout-wrap kb-row-layout-id12239_f3e1c2-7e alignnone wp-block-kadence-rowlayout\"><div class=\"kt-row-column-wrap kt-has-2-columns kt-row-layout-equal kt-tab-layout-inherit kt-mobile-layout-row kt-row-valign-top\">\n<style>.kadence-column12239_ae7d9c-5f > .kt-inside-inner-col,.kadence-column12239_ae7d9c-5f > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_ae7d9c-5f > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_ae7d9c-5f > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_ae7d9c-5f > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_ae7d9c-5f > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_ae7d9c-5f{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_ae7d9c-5f > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_ae7d9c-5f > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_ae7d9c-5f inner-column-1\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">5. Worldview<\/h4>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" width=\"218\" height=\"300\" class=\"alignnone size-medium wp-image-12266\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Worldview3-218x300.png\" alt=\"Worldview satellite\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Worldview3-218x300.png 218w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Worldview3-36x50.png 36w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Worldview3-146x200.png 146w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Worldview3-309x425.png 309w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Worldview3-401x550.png 401w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Worldview3-115x158.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Worldview3-113x155.png 113w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Worldview3.png 576w\" sizes=\"auto, (max-width: 218px) 100vw, 218px\" \/><br>Maxar\u2019s cutting-edge high-resolution satellite is ridiculously crisp (31 cm). <a href=\"https:\/\/gisgeography.com\/maxar-satellite-imagery\/\" rel=\"noopener\">Worldview imagery<\/a> is so sharp that you can almost see license plates. In fact, it&#8217;s the only commercial satellite that can deliver at this resolution.<br> <font size=\"-2\">Image courtesy \u00a9 2020 Maxar<\/font><\/p>\n<\/div><\/div>\n\n\n<style>.kadence-column12239_6570f7-ac > .kt-inside-inner-col,.kadence-column12239_6570f7-ac > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_6570f7-ac > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_6570f7-ac > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_6570f7-ac > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_6570f7-ac > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_6570f7-ac{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_6570f7-ac > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_6570f7-ac > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_6570f7-ac inner-column-2\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">6. PlanetScope (Dove)<\/h4>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" width=\"425\" height=\"254\" class=\"alignnone size-medium-large wp-image-16199\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/09\/dove-satellite-425x254.png\" alt=\"dove satellite\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/09\/dove-satellite-425x254.png 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/09\/dove-satellite-300x179.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/09\/dove-satellite-50x30.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/09\/dove-satellite-200x119.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/09\/dove-satellite-550x328.png 550w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/09\/dove-satellite-115x69.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/09\/dove-satellite-260x155.png 260w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/09\/dove-satellite.png 578w\" sizes=\"auto, (max-width: 425px) 100vw, 425px\" \/><br><\/p>\n\n\n\n<p>Planetscope is a low-cost, lightweight, and low orbit from the <a href=\"https:\/\/gisgeography.com\/planet-labs-imagery\/\">company called Planet<\/a>. This orchestra of microsatellites (nicknamed doves) orbits the Earth in concert scanning at 3-5 meter resolution images.<\/p>\n\n\n\n<p><font size=\"-2\">Image Credit: Planet<\/font><\/p>\n<\/div><\/div>\n\n<\/div><\/div>\n\n<style>.kb-row-layout-id12239_971562-98 > .kt-row-column-wrap{align-content:start;}:where(.kb-row-layout-id12239_971562-98 > .kt-row-column-wrap) > .wp-block-kadence-column{justify-content:start;}.kb-row-layout-id12239_971562-98 > .kt-row-column-wrap{column-gap:var(--global-kb-gap-md, 2rem);row-gap:var(--global-kb-gap-md, 2rem);padding-top:10px;padding-bottom:25px;grid-template-columns:repeat(2, minmax(0, 1fr));}.kb-row-layout-id12239_971562-98 > .kt-row-layout-overlay{opacity:0.30;}@media all and (max-width: 1024px){.kb-row-layout-id12239_971562-98 > .kt-row-column-wrap{grid-template-columns:repeat(2, minmax(0, 1fr));}}@media all and (max-width: 767px){.kb-row-layout-id12239_971562-98 > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}<\/style><div class=\"kb-row-layout-wrap kb-row-layout-id12239_971562-98 alignnone wp-block-kadence-rowlayout\"><div class=\"kt-row-column-wrap kt-has-2-columns kt-row-layout-equal kt-tab-layout-inherit kt-mobile-layout-row kt-row-valign-top\">\n<style>.kadence-column12239_b64e67-cb > .kt-inside-inner-col,.kadence-column12239_b64e67-cb > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_b64e67-cb > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_b64e67-cb > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_b64e67-cb > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_b64e67-cb > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_b64e67-cb{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_b64e67-cb > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_b64e67-cb > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_b64e67-cb inner-column-1\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">7. Global Navigation Satellite System (GNSS)<\/h4>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"678\" height=\"460\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/GPS-678x460.jpg\" alt=\"GPS\" class=\"wp-image-96584\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/GPS-678x460.jpg 678w, https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/GPS-300x204.jpg 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/GPS-768x521.jpg 768w, https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/GPS.jpg 800w\" sizes=\"auto, (max-width: 678px) 100vw, 678px\" \/><\/figure>\n\n\n\n<p>When you enable location on your smartphone, you&#8217;re tapping into GNSS. Every day, our GPS receivers leverage the 35-satellite system to pinpoint our exact position on Earth.<br> <font size=\"-2\">Image Credit: NASA\/JPL<\/font><\/p>\n<\/div><\/div>\n\n\n<style>.kadence-column12239_cf5318-00 > .kt-inside-inner-col,.kadence-column12239_cf5318-00 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_cf5318-00 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_cf5318-00 > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_cf5318-00 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_cf5318-00 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_cf5318-00{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_cf5318-00 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_cf5318-00 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_cf5318-00 inner-column-2\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">8. Shuttle Radar Topography Mission (SRTM)<\/h4>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"678\" height=\"614\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/SRTM-678x614.jpg\" alt=\"SRTM\" class=\"wp-image-96586\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/SRTM-678x614.jpg 678w, https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/SRTM-300x272.jpg 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/SRTM-768x696.jpg 768w, https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/SRTM.jpg 800w\" sizes=\"auto, (max-width: 678px) 100vw, 678px\" \/><\/figure>\n\n\n\n<p>SRTM sculpted a 30-meter terrain model of Earth using two radar antennas and interferometry. Onboard the space shuttle Endeavour, it only needed 11 days to collect the necessary data.<br> <font size=\"-2\">Image Credit: NASA\/JPL<\/font><\/p>\n<\/div><\/div>\n\n<\/div><\/div>\n\n<style>.kb-row-layout-id12239_47d016-68 > .kt-row-column-wrap{align-content:start;}:where(.kb-row-layout-id12239_47d016-68 > .kt-row-column-wrap) > .wp-block-kadence-column{justify-content:start;}.kb-row-layout-id12239_47d016-68 > .kt-row-column-wrap{column-gap:var(--global-kb-gap-md, 2rem);row-gap:var(--global-kb-gap-md, 2rem);padding-top:10px;padding-bottom:25px;grid-template-columns:repeat(2, minmax(0, 1fr));}.kb-row-layout-id12239_47d016-68 > .kt-row-layout-overlay{opacity:0.30;}@media all and (max-width: 1024px){.kb-row-layout-id12239_47d016-68 > .kt-row-column-wrap{grid-template-columns:repeat(2, minmax(0, 1fr));}}@media all and (max-width: 767px){.kb-row-layout-id12239_47d016-68 > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}<\/style><div class=\"kb-row-layout-wrap kb-row-layout-id12239_47d016-68 alignnone wp-block-kadence-rowlayout\"><div class=\"kt-row-column-wrap kt-has-2-columns kt-row-layout-equal kt-tab-layout-inherit kt-mobile-layout-row kt-row-valign-top\">\n<style>.kadence-column12239_d53687-d4 > .kt-inside-inner-col,.kadence-column12239_d53687-d4 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_d53687-d4 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_d53687-d4 > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_d53687-d4 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_d53687-d4 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_d53687-d4{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_d53687-d4 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_d53687-d4 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_d53687-d4 inner-column-1\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">9. Corona<\/h4>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" width=\"396\" height=\"260\" class=\"alignnone size-full wp-image-12341\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/corona-satellite.png\" alt=\"corona satellite\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/corona-satellite.png 396w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/corona-satellite-300x197.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/corona-satellite-50x33.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/corona-satellite-200x131.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/corona-satellite-115x76.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/corona-satellite-236x155.png 236w\" sizes=\"auto, (max-width: 396px) 100vw, 396px\" \/><br>The Corona satellite was a strategic, James Bond-style military satellite in the 1960s that spied on the Soviet Union. But now, archaeologists and other interest groups freely use these declassified images.<br> <font size=\"-2\">Image Credit: National Reconnaissance Office<\/font><\/p>\n<\/div><\/div>\n\n\n<style>.kadence-column12239_103499-a5 > .kt-inside-inner-col,.kadence-column12239_103499-a5 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_103499-a5 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_103499-a5 > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_103499-a5 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_103499-a5 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_103499-a5{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_103499-a5 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_103499-a5 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_103499-a5 inner-column-2\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">10. Earth Observing-1 Mission (EO-1)<\/h4>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" width=\"350\" height=\"256\" class=\"alignnone size-full wp-image-12275\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/EO-1.jpg\" alt=\"EO-1\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/EO-1.jpg 350w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/EO-1-300x219.jpg 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/EO-1-50x37.jpg 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/EO-1-200x146.jpg 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/EO-1-115x84.jpg 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/EO-1-212x155.jpg 212w\" sizes=\"auto, (max-width: 350px) 100vw, 350px\" \/><br>The goal of <a href=\"https:\/\/earthobservatory.nasa.gov\/features\/EO1\" target=\"_blank\" rel=\"noopener noreferrer\">Earth Observing 1 (EO-1)<\/a> was to propel science and innovation through experimental instrumentation. For example, Hyperion produces 220 spectral bands which enabled us to better characterize minerals.<br> <font size=\"-2\">Image Credit: NASA<\/font><\/p>\n<\/div><\/div>\n\n<\/div><\/div>\n\n<style>.kb-row-layout-id12239_fa0c40-4c > .kt-row-column-wrap{align-content:start;}:where(.kb-row-layout-id12239_fa0c40-4c > .kt-row-column-wrap) > .wp-block-kadence-column{justify-content:start;}.kb-row-layout-id12239_fa0c40-4c > .kt-row-column-wrap{column-gap:var(--global-kb-gap-md, 2rem);row-gap:var(--global-kb-gap-md, 2rem);padding-top:var(--global-kb-spacing-sm, 1.5rem);padding-bottom:var(--global-kb-spacing-sm, 1.5rem);grid-template-columns:repeat(2, minmax(0, 1fr));}.kb-row-layout-id12239_fa0c40-4c > .kt-row-layout-overlay{opacity:0.30;}@media all and (max-width: 1024px){.kb-row-layout-id12239_fa0c40-4c > .kt-row-column-wrap{grid-template-columns:repeat(2, minmax(0, 1fr));}}@media all and (max-width: 767px){.kb-row-layout-id12239_fa0c40-4c > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}<\/style><div class=\"kb-row-layout-wrap kb-row-layout-id12239_fa0c40-4c alignnone wp-block-kadence-rowlayout\"><div class=\"kt-row-column-wrap kt-has-2-columns kt-row-layout-equal kt-tab-layout-inherit kt-mobile-layout-row kt-row-valign-top\">\n<style>.kadence-column12239_1786e7-da > .kt-inside-inner-col,.kadence-column12239_1786e7-da > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_1786e7-da > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_1786e7-da > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_1786e7-da > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_1786e7-da > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_1786e7-da{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_1786e7-da > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_1786e7-da > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_1786e7-da inner-column-1\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">11. Satellite Pour l\u2019Observation de la Terre (SPOT) <\/h4>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" width=\"200\" height=\"226\" class=\"alignnone size-full wp-image-12273\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Spot-5.jpg\" alt=\"SPOT satellite\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Spot-5.jpg 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Spot-5-44x50.jpg 44w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Spot-5-177x200.jpg 177w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Spot-5-115x130.jpg 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Spot-5-137x155.jpg 137w\" sizes=\"auto, (max-width: 200px) 100vw, 200px\" \/><br>In 1986, France\u2019s <a href=\"https:\/\/gisgeography.com\/spot-satellite-pour-observation-terre\/\">SPOT-1 satellite<\/a> was cutting edge. Since then, it has captured Earth\u2019s vegetation, elevation, and even the Chernobyl disaster.<br> <font size=\"-2\">Image Credit: Centre National d\u2019Etudes Spatiales CNES<\/font><\/p>\n<\/div><\/div>\n\n\n<style>.kadence-column12239_ea613d-c6 > .kt-inside-inner-col,.kadence-column12239_ea613d-c6 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_ea613d-c6 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_ea613d-c6 > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_ea613d-c6 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_ea613d-c6 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_ea613d-c6{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_ea613d-c6 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_ea613d-c6 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_ea613d-c6 inner-column-2\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">12. RADARSAT<\/h4>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" width=\"425\" height=\"306\" class=\"alignnone size-medium-large wp-image-12318\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/RADARSAT-425x306.png\" alt=\"Radarsat\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/RADARSAT-425x306.png 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/RADARSAT-300x216.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/RADARSAT-50x36.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/RADARSAT-200x144.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/RADARSAT-115x83.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/RADARSAT-215x155.png 215w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/RADARSAT-500x360.png 500w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/RADARSAT.png 526w\" sizes=\"auto, (max-width: 425px) 100vw, 425px\" \/><br>Radarsat-2 is Canada\u2019s space radar monitoring mission. As part of the <a href=\"http:\/\/www.asc-csa.gc.ca\/eng\/satellites\/radarsat\/default.asp\" target=\"_blank\" rel=\"noopener noreferrer\">Radarsat Constellation Mission<\/a>, 3 C-band satellites will hone in on the Great White North\u2019s land mass.<br> <font size=\"-2\">Image Credit: \u00a9 Canadian Space Agency<\/font><\/p>\n<\/div><\/div>\n\n<\/div><\/div>\n\n<style>.kb-row-layout-id12239_d818a3-18 > .kt-row-column-wrap{align-content:start;}:where(.kb-row-layout-id12239_d818a3-18 > .kt-row-column-wrap) > .wp-block-kadence-column{justify-content:start;}.kb-row-layout-id12239_d818a3-18 > .kt-row-column-wrap{column-gap:var(--global-kb-gap-md, 2rem);row-gap:var(--global-kb-gap-md, 2rem);padding-top:10px;padding-bottom:25px;grid-template-columns:repeat(2, minmax(0, 1fr));}.kb-row-layout-id12239_d818a3-18 > .kt-row-layout-overlay{opacity:0.30;}@media all and (max-width: 1024px){.kb-row-layout-id12239_d818a3-18 > .kt-row-column-wrap{grid-template-columns:repeat(2, minmax(0, 1fr));}}@media all and (max-width: 767px){.kb-row-layout-id12239_d818a3-18 > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}<\/style><div class=\"kb-row-layout-wrap kb-row-layout-id12239_d818a3-18 alignnone wp-block-kadence-rowlayout\"><div class=\"kt-row-column-wrap kt-has-2-columns kt-row-layout-equal kt-tab-layout-inherit kt-mobile-layout-row kt-row-valign-top\">\n<style>.kadence-column12239_940202-3a > .kt-inside-inner-col,.kadence-column12239_940202-3a > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_940202-3a > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_940202-3a > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_940202-3a > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_940202-3a > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_940202-3a{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_940202-3a > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_940202-3a > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_940202-3a inner-column-1\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">13. IKONOS<\/h4>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" width=\"425\" height=\"303\" class=\"alignnone size-medium-large wp-image-12425\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/IKONOS-425x303.png\" alt=\"ikonos satellite\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/IKONOS-425x303.png 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/IKONOS-300x214.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/IKONOS-50x36.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/IKONOS-200x142.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/IKONOS-115x82.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/IKONOS-218x155.png 218w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/IKONOS.png 500w\" sizes=\"auto, (max-width: 425px) 100vw, 425px\" \/><br><a href=\"https:\/\/gisgeography.com\/ikonos-satellite\/\" target=\"_blank\" rel=\"noopener noreferrer\">IKONOS<\/a> was a satellite marvel in its time. In fact, it was the first commercial satellite that was granted a license in America. But IKONOS-1 never made it to space. IKONOS-2 did and was renamed IKONOS.<br> <font size=\"-2\">Image courtesy \u00a9 2020 Maxar<\/font><\/p>\n<\/div><\/div>\n\n\n<style>.kadence-column12239_20e4e2-61 > .kt-inside-inner-col,.kadence-column12239_20e4e2-61 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_20e4e2-61 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_20e4e2-61 > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_20e4e2-61 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_20e4e2-61 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_20e4e2-61{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_20e4e2-61 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_20e4e2-61 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_20e4e2-61 inner-column-2\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">14. Quickbird<\/h4>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" width=\"425\" height=\"340\" class=\"alignnone size-medium-large wp-image-14909\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/06\/QuickBird-425x340.png\" alt=\"QuickBird\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/06\/QuickBird-425x340.png 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/06\/QuickBird-300x240.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/06\/QuickBird-50x40.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/06\/QuickBird-200x160.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/06\/QuickBird-550x440.png 550w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/06\/QuickBird-115x92.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/06\/QuickBird-194x155.png 194w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/06\/QuickBird.png 654w\" sizes=\"auto, (max-width: 425px) 100vw, 425px\" \/><br>QuickBird is versatile and cost-effective delivering optical imagery at 60cm. But in 2015, it was decommissioned and no longer serves the community.<br> <font size=\"-2\">Image courtesy \u00a9 2020 Maxar<\/font><\/p>\n<\/div><\/div>\n\n<\/div><\/div>\n\n<style>.kb-row-layout-id12239_201f59-fd > .kt-row-column-wrap{align-content:start;}:where(.kb-row-layout-id12239_201f59-fd > .kt-row-column-wrap) > .wp-block-kadence-column{justify-content:start;}.kb-row-layout-id12239_201f59-fd > .kt-row-column-wrap{column-gap:var(--global-kb-gap-md, 2rem);row-gap:var(--global-kb-gap-md, 2rem);padding-top:10px;padding-bottom:25px;grid-template-columns:repeat(2, minmax(0, 1fr));}.kb-row-layout-id12239_201f59-fd > .kt-row-layout-overlay{opacity:0.30;}@media all and (max-width: 1024px){.kb-row-layout-id12239_201f59-fd > .kt-row-column-wrap{grid-template-columns:repeat(2, minmax(0, 1fr));}}@media all and (max-width: 767px){.kb-row-layout-id12239_201f59-fd > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}<\/style><div class=\"kb-row-layout-wrap kb-row-layout-id12239_201f59-fd alignnone wp-block-kadence-rowlayout\"><div class=\"kt-row-column-wrap kt-has-2-columns kt-row-layout-equal kt-tab-layout-inherit kt-mobile-layout-row kt-row-valign-top\">\n<style>.kadence-column12239_e0a02c-6d > .kt-inside-inner-col,.kadence-column12239_e0a02c-6d > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_e0a02c-6d > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_e0a02c-6d > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_e0a02c-6d > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_e0a02c-6d > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_e0a02c-6d{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_e0a02c-6d > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_e0a02c-6d > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_e0a02c-6d inner-column-1\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">15. RapidEye<\/h4>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" width=\"425\" height=\"325\" class=\"alignnone size-medium-large wp-image-12436\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/rapideye-425x325.png\" alt=\"rapideye\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/rapideye-425x325.png 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/rapideye-300x229.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/rapideye-678x518.png 678w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/rapideye-50x38.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/rapideye-200x153.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/rapideye-550x420.png 550w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/rapideye-115x88.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/rapideye-203x155.png 203w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/rapideye.png 762w\" sizes=\"auto, (max-width: 425px) 100vw, 425px\" \/><br>RapidEye originated in Germany. Then, BlackBridge purchased it. Now, it&#8217;s owned by Planet. Despite several owners, this 5-satellite constellation provides 5-meter resolution anywhere at least daily.<\/p>\n<\/div><\/div>\n\n\n<style>.kadence-column12239_15740e-6b > .kt-inside-inner-col,.kadence-column12239_15740e-6b > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_15740e-6b > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_15740e-6b > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_15740e-6b > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_15740e-6b > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_15740e-6b{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_15740e-6b > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_15740e-6b > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_15740e-6b inner-column-2\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">16. Pleiades<\/h4>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" width=\"425\" height=\"328\" class=\"alignnone size-medium-large wp-image-16181\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/09\/pleiades-425x328.png\" alt=\"pleiades\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/09\/pleiades-425x328.png 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/09\/pleiades-300x232.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/09\/pleiades-50x39.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/09\/pleiades-200x155.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/09\/pleiades-115x89.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/09\/pleiades-201x155.png 201w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/09\/pleiades.png 497w\" sizes=\"auto, (max-width: 425px) 100vw, 425px\" \/><br><a href=\"https:\/\/gisgeography.com\/pleiades-satellite\/\">Pleiades<\/a> consists of 2 nimble satellites operating in the same orbit. With incredible detail (2-meter), it can scan the Earth in any direction<br> <font size=\"-2\">Image Courtesy of ESA\/Airbus &amp; Defense<\/font><\/p>\n<\/div><\/div>\n\n<\/div><\/div>\n\n<style>.kb-row-layout-id12239_d4a38a-45 > .kt-row-column-wrap{align-content:start;}:where(.kb-row-layout-id12239_d4a38a-45 > .kt-row-column-wrap) > .wp-block-kadence-column{justify-content:start;}.kb-row-layout-id12239_d4a38a-45 > .kt-row-column-wrap{column-gap:var(--global-kb-gap-md, 2rem);row-gap:var(--global-kb-gap-md, 2rem);padding-top:10px;padding-bottom:25px;grid-template-columns:repeat(2, minmax(0, 1fr));}.kb-row-layout-id12239_d4a38a-45 > .kt-row-layout-overlay{opacity:0.30;}@media all and (max-width: 1024px){.kb-row-layout-id12239_d4a38a-45 > .kt-row-column-wrap{grid-template-columns:repeat(2, minmax(0, 1fr));}}@media all and (max-width: 767px){.kb-row-layout-id12239_d4a38a-45 > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}<\/style><div class=\"kb-row-layout-wrap kb-row-layout-id12239_d4a38a-45 alignnone wp-block-kadence-rowlayout\"><div class=\"kt-row-column-wrap kt-has-2-columns kt-row-layout-equal kt-tab-layout-inherit kt-mobile-layout-row kt-row-valign-top\">\n<style>.kadence-column12239_a7ac75-53 > .kt-inside-inner-col,.kadence-column12239_a7ac75-53 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_a7ac75-53 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_a7ac75-53 > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_a7ac75-53 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_a7ac75-53 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_a7ac75-53{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_a7ac75-53 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_a7ac75-53 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_a7ac75-53 inner-column-1\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">17. China-Brazil Earth Resource Satellite (CBERS)<\/h4>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" width=\"425\" height=\"263\" class=\"alignnone size-medium-large wp-image-16571\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/11\/cbers-425x263.jpg\" alt=\"cbers\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/11\/cbers-425x263.jpg 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/11\/cbers-300x185.jpg 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/11\/cbers-678x419.jpg 678w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/11\/cbers-768x475.jpg 768w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/11\/cbers-50x31.jpg 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/11\/cbers-200x124.jpg 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/11\/cbers-550x340.jpg 550w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/11\/cbers-115x71.jpg 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/11\/cbers-850x525.jpg 850w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/11\/cbers-251x155.jpg 251w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/11\/cbers.jpg 1063w\" sizes=\"auto, (max-width: 425px) 100vw, 425px\" \/><br>China and Brazil unite in a joint quintuple mission to monitor everything from agriculture, environment, water pollution, and urban planning in their respective countries.<br> <font size=\"-2\">Image Credit: CBERS\/INPE<\/font><\/p>\n<\/div><\/div>\n\n\n<style>.kadence-column12239_44933c-0e > .kt-inside-inner-col,.kadence-column12239_44933c-0e > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_44933c-0e > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_44933c-0e > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_44933c-0e > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_44933c-0e > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_44933c-0e{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_44933c-0e > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_44933c-0e > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_44933c-0e inner-column-2\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">18. Project for On-Board Autonomy (PROBA)<\/h4>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" width=\"425\" height=\"282\" class=\"alignnone size-medium-large wp-image-12433\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/cubesat-425x282.png\" alt=\"cubesat\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/cubesat-425x282.png 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/cubesat-300x199.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/cubesat-50x33.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/cubesat-150x100.png 150w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/cubesat-200x133.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/cubesat-115x76.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/cubesat-234x155.png 234w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/cubesat.png 440w\" sizes=\"auto, (max-width: 425px) 100vw, 425px\" \/><br>PROBA is a micro, cube-looking satellite with 30-meter hyperspectral data. Using its dextrous viewing angles, the <a href=\"https:\/\/earth.esa.int\/web\/guest\/missions\/esa-operational-eo-missions\/proba\" target=\"_blank\" rel=\"noopener noreferrer\">PROBA satellite<\/a> produced the world-renowned global vegetation archive.<br> <font size=\"-2\">Image Credit: ESA<\/font><\/p>\n<\/div><\/div>\n\n<\/div><\/div>\n\n<style>.kb-row-layout-id12239_a054a6-6f > .kt-row-column-wrap{align-content:start;}:where(.kb-row-layout-id12239_a054a6-6f > .kt-row-column-wrap) > .wp-block-kadence-column{justify-content:start;}.kb-row-layout-id12239_a054a6-6f > .kt-row-column-wrap{column-gap:var(--global-kb-gap-md, 2rem);row-gap:var(--global-kb-gap-md, 2rem);padding-top:var(--global-kb-spacing-sm, 1.5rem);padding-bottom:var(--global-kb-spacing-sm, 1.5rem);grid-template-columns:repeat(2, minmax(0, 1fr));}.kb-row-layout-id12239_a054a6-6f > .kt-row-layout-overlay{opacity:0.30;}@media all and (max-width: 1024px){.kb-row-layout-id12239_a054a6-6f > .kt-row-column-wrap{grid-template-columns:repeat(2, minmax(0, 1fr));}}@media all and (max-width: 767px){.kb-row-layout-id12239_a054a6-6f > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}<\/style><div class=\"kb-row-layout-wrap kb-row-layout-id12239_a054a6-6f alignnone wp-block-kadence-rowlayout\"><div class=\"kt-row-column-wrap kt-has-2-columns kt-row-layout-equal kt-tab-layout-inherit kt-mobile-layout-row kt-row-valign-top\">\n<style>.kadence-column12239_78cffc-2b > .kt-inside-inner-col,.kadence-column12239_78cffc-2b > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_78cffc-2b > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_78cffc-2b > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_78cffc-2b > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_78cffc-2b > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_78cffc-2b{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_78cffc-2b > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_78cffc-2b > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_78cffc-2b inner-column-1\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">19. ResourceSAT<\/h4>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" width=\"425\" height=\"222\" class=\"alignnone size-medium-large wp-image-16082\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/08\/resourcesat-1-425x222.png\" alt=\"resourcesat\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/08\/resourcesat-1-425x222.png 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/08\/resourcesat-1-300x157.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/08\/resourcesat-1-50x26.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/08\/resourcesat-1-200x104.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/08\/resourcesat-1-135x70.png 135w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/08\/resourcesat-1-115x60.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/08\/resourcesat-1-297x155.png 297w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/08\/resourcesat-1.png 500w\" sizes=\"auto, (max-width: 425px) 100vw, 425px\" \/><br>Originally named IRS, ResourceSAT is an Indian polar-synchronous satellite. For ship surveillance, it&#8217;s equipped with an Automatic Identification System (AIS) payload.<br> <font size=\"-2\">Image credit: ISRO<\/font> <\/p>\n<\/div><\/div>\n\n\n<style>.kadence-column12239_e7df0e-65 > .kt-inside-inner-col,.kadence-column12239_e7df0e-65 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_e7df0e-65 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_e7df0e-65 > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_e7df0e-65 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_e7df0e-65 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_e7df0e-65{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_e7df0e-65 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_e7df0e-65 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_e7df0e-65 inner-column-2\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">20. KOMPSAT<\/h4>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" width=\"425\" height=\"285\" class=\"alignnone size-medium-large wp-image-12440\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/kompsat-425x285.png\" alt=\"kompsat\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/kompsat-425x285.png 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/kompsat-300x201.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/kompsat-50x34.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/kompsat-150x100.png 150w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/kompsat-200x134.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/kompsat-550x369.png 550w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/kompsat-115x77.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/kompsat-231x155.png 231w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/kompsat.png 670w\" sizes=\"auto, (max-width: 425px) 100vw, 425px\" \/><br>Also known as Arirang, this optical satellite provides 1-meter resolution imagery.  It&#8217;s rumored to monitor North Korean military activities. But it&#8217;s also available for commercial purposes.<br> <font size=\"-2\">Image copyright \u00a9 Korean Aerospace Research Institute KARI<\/font><\/p>\n<\/div><\/div>\n\n<\/div><\/div>\n\n<style>.kb-row-layout-id12239_28942b-2c > .kt-row-column-wrap{align-content:start;}:where(.kb-row-layout-id12239_28942b-2c > .kt-row-column-wrap) > .wp-block-kadence-column{justify-content:start;}.kb-row-layout-id12239_28942b-2c > .kt-row-column-wrap{column-gap:var(--global-kb-gap-md, 2rem);row-gap:var(--global-kb-gap-md, 2rem);padding-top:var(--global-kb-spacing-sm, 1.5rem);padding-bottom:var(--global-kb-spacing-sm, 1.5rem);grid-template-columns:repeat(2, minmax(0, 1fr));}.kb-row-layout-id12239_28942b-2c > .kt-row-layout-overlay{opacity:0.30;}@media all and (max-width: 1024px){.kb-row-layout-id12239_28942b-2c > .kt-row-column-wrap{grid-template-columns:repeat(2, minmax(0, 1fr));}}@media all and (max-width: 767px){.kb-row-layout-id12239_28942b-2c > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}<\/style><div class=\"kb-row-layout-wrap kb-row-layout-id12239_28942b-2c alignnone wp-block-kadence-rowlayout\"><div class=\"kt-row-column-wrap kt-has-2-columns kt-row-layout-equal kt-tab-layout-inherit kt-mobile-layout-row kt-row-valign-top\">\n<style>.kadence-column12239_1e833b-9c > .kt-inside-inner-col,.kadence-column12239_1e833b-9c > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_1e833b-9c > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_1e833b-9c > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_1e833b-9c > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_1e833b-9c > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_1e833b-9c{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_1e833b-9c > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_1e833b-9c > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_1e833b-9c inner-column-1\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">21. CartoSAT<\/h4>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" width=\"425\" height=\"228\" class=\"alignnone size-medium-large wp-image-12441\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/cartosat-425x228.png\" alt=\"cartosat\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/cartosat-425x228.png 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/cartosat-300x161.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/cartosat-50x27.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/cartosat-200x108.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/cartosat-115x62.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/cartosat-288x155.png 288w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/cartosat-500x269.png 500w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/cartosat.png 532w\" sizes=\"auto, (max-width: 425px) 100vw, 425px\" \/><br>The Indian cartography series of commercial satellites collect land information with multispectral, panchromatic, and stereo mapping capabilities.<br> <font size=\"-2\">Image Copyright \u00a9 ISRO<\/font><\/p>\n<\/div><\/div>\n\n\n<style>.kadence-column12239_45fe93-54 > .kt-inside-inner-col,.kadence-column12239_45fe93-54 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_45fe93-54 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_45fe93-54 > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_45fe93-54 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_45fe93-54 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_45fe93-54{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_45fe93-54 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_45fe93-54 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_45fe93-54 inner-column-2\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">22. GeoEye<\/h4>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"678\" height=\"505\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Geoeye-1-678x505.jpg\" alt=\"Geoeye-1\" class=\"wp-image-96592\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Geoeye-1-678x505.jpg 678w, https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Geoeye-1-300x224.jpg 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Geoeye-1-768x572.jpg 768w, https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Geoeye-1.jpg 800w\" sizes=\"auto, (max-width: 678px) 100vw, 678px\" \/><\/figure>\n\n\n\n<p>Maxar\u2019s high-resolution (1.65-meter) imaging satellite is so sharp that ecologists have used it to track animal populations. Google also has rights to the imagery so there\u2019s no coincidence that it\u2019s also used in Google Maps.<br> <font size=\"-2\">Image courtesy \u00a9 2017 Maxar<\/font><\/p>\n<\/div><\/div>\n\n<\/div><\/div>\n\n<style>.kb-row-layout-id12239_caaf44-db > .kt-row-column-wrap{align-content:start;}:where(.kb-row-layout-id12239_caaf44-db > .kt-row-column-wrap) > .wp-block-kadence-column{justify-content:start;}.kb-row-layout-id12239_caaf44-db > .kt-row-column-wrap{column-gap:var(--global-kb-gap-md, 2rem);row-gap:var(--global-kb-gap-md, 2rem);padding-top:var(--global-kb-spacing-sm, 1.5rem);padding-bottom:var(--global-kb-spacing-sm, 1.5rem);grid-template-columns:repeat(2, minmax(0, 1fr));}.kb-row-layout-id12239_caaf44-db > .kt-row-layout-overlay{opacity:0.30;}@media all and (max-width: 1024px){.kb-row-layout-id12239_caaf44-db > .kt-row-column-wrap{grid-template-columns:repeat(2, minmax(0, 1fr));}}@media all and (max-width: 767px){.kb-row-layout-id12239_caaf44-db > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}<\/style><div class=\"kb-row-layout-wrap kb-row-layout-id12239_caaf44-db alignnone wp-block-kadence-rowlayout\"><div class=\"kt-row-column-wrap kt-has-2-columns kt-row-layout-equal kt-tab-layout-inherit kt-mobile-layout-row kt-row-valign-top\">\n<style>.kadence-column12239_db7b4b-db > .kt-inside-inner-col,.kadence-column12239_db7b4b-db > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_db7b4b-db > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_db7b4b-db > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_db7b4b-db > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_db7b4b-db > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_db7b4b-db{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_db7b4b-db > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_db7b4b-db > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_db7b4b-db inner-column-1\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">23. Disaster Monitoring Constellation (DMC)<\/h4>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" width=\"425\" height=\"283\" class=\"alignnone size-medium-large wp-image-16573\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/11\/dmc-425x283.png\" alt=\"dmc\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/11\/dmc-425x283.png 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/11\/dmc-300x200.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/11\/dmc-678x452.png 678w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/11\/dmc-768x512.png 768w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/11\/dmc-50x33.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/11\/dmc-150x100.png 150w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/11\/dmc-200x133.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/11\/dmc-550x366.png 550w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/11\/dmc-115x77.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/11\/dmc-850x566.png 850w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/11\/dmc-233x155.png 233w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/11\/dmc.png 1024w\" sizes=\"auto, (max-width: 425px) 100vw, 425px\" \/><br>DMC masters disaster monitoring with its highly responsive, humanitarian constellation. It consists of AISAT-1, BilSAT, NigeriaSAT, UK-DMC, Beijing-1, Deimos-1 and NigeriaSAT.<\/p>\n<\/div><\/div>\n\n\n<style>.kadence-column12239_986691-25 > .kt-inside-inner-col,.kadence-column12239_986691-25 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_986691-25 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_986691-25 > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_986691-25 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_986691-25 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_986691-25{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_986691-25 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_986691-25 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_986691-25 inner-column-2\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">24. SkySat<\/h4>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" width=\"425\" height=\"290\" class=\"alignnone size-medium-large wp-image-12582\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/skysat-425x290.png\" alt=\"skysat\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/skysat-425x290.png 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/skysat-300x204.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/skysat-50x34.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/skysat-200x136.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/skysat-115x78.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/skysat-227x155.png 227w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/skysat.png 446w\" sizes=\"auto, (max-width: 425px) 100vw, 425px\" \/><br>SkySat is the type of gadget James Bond uses to spy on super-villains. In fact, it&#8217;s the first and only capable of capturing video footage at sub-meter resolution.<br> <font size=\"-2\">Copyright \u00a9 SkyBox Imaging. All rights reserved.<\/font> <\/p>\n<\/div><\/div>\n\n<\/div><\/div>\n\n<style>.kb-row-layout-id12239_8d4053-40 > .kt-row-column-wrap{align-content:start;}:where(.kb-row-layout-id12239_8d4053-40 > .kt-row-column-wrap) > .wp-block-kadence-column{justify-content:start;}.kb-row-layout-id12239_8d4053-40 > .kt-row-column-wrap{column-gap:var(--global-kb-gap-md, 2rem);row-gap:var(--global-kb-gap-md, 2rem);padding-top:var(--global-kb-spacing-sm, 1.5rem);padding-bottom:var(--global-kb-spacing-sm, 1.5rem);grid-template-columns:repeat(2, minmax(0, 1fr));}.kb-row-layout-id12239_8d4053-40 > .kt-row-layout-overlay{opacity:0.30;}@media all and (max-width: 1024px){.kb-row-layout-id12239_8d4053-40 > .kt-row-column-wrap{grid-template-columns:repeat(2, minmax(0, 1fr));}}@media all and (max-width: 767px){.kb-row-layout-id12239_8d4053-40 > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}<\/style><div class=\"kb-row-layout-wrap kb-row-layout-id12239_8d4053-40 alignnone wp-block-kadence-rowlayout\"><div class=\"kt-row-column-wrap kt-has-2-columns kt-row-layout-equal kt-tab-layout-inherit kt-mobile-layout-row kt-row-valign-top\">\n<style>.kadence-column12239_30a92a-c3 > .kt-inside-inner-col,.kadence-column12239_30a92a-c3 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_30a92a-c3 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_30a92a-c3 > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_30a92a-c3 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_30a92a-c3 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_30a92a-c3{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_30a92a-c3 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_30a92a-c3 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_30a92a-c3 inner-column-1\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">25. Tropical Rainfall Measuring Mission (TRMM)<\/h4>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" width=\"425\" height=\"250\" class=\"alignnone size-medium-large wp-image-12339\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/TRMM-satellite-425x250.png\" alt=\"TRMM satellite\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/TRMM-satellite-425x250.png 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/TRMM-satellite-300x177.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/TRMM-satellite-678x399.png 678w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/TRMM-satellite-768x452.png 768w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/TRMM-satellite-50x29.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/TRMM-satellite-70x40.png 70w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/TRMM-satellite-200x118.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/TRMM-satellite-550x324.png 550w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/TRMM-satellite-115x68.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/TRMM-satellite-850x501.png 850w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/TRMM-satellite-263x155.png 263w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/TRMM-satellite.png 1083w\" sizes=\"auto, (max-width: 425px) 100vw, 425px\" \/><br>TRMM examines cloud structure and precipitation mostly at the equator. Because of TRMM, scientists can better predict global energy balances, water cycles, and El Ni\u00f1o.<br> <font size=\"-2\">Image Credit: NASA<\/font><\/p>\n<\/div><\/div>\n\n\n<style>.kadence-column12239_892698-60 > .kt-inside-inner-col,.kadence-column12239_892698-60 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_892698-60 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_892698-60 > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_892698-60 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_892698-60 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_892698-60{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_892698-60 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_892698-60 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_892698-60 inner-column-2\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">26. Geostationary Operational Environmental Satellite (GOES)<\/h4>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"678\" height=\"464\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/GOES-678x464.jpg\" alt=\"GOES\" class=\"wp-image-96591\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/GOES-678x464.jpg 678w, https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/GOES-300x206.jpg 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/GOES-768x526.jpg 768w, https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/GOES.jpg 800w\" sizes=\"auto, (max-width: 678px) 100vw, 678px\" \/><\/figure>\n\n\n\n<p>GOES knows weather. Since 1975, this geostationary squad of satellites are unsung heroes in forecasting our planet\u2019s weather.<br> <font size=\"-2\">Image Credit: NASA;<\/font><\/p>\n<\/div><\/div>\n\n<\/div><\/div>\n\n<style>.kb-row-layout-id12239_55ecd2-be > .kt-row-column-wrap{align-content:start;}:where(.kb-row-layout-id12239_55ecd2-be > .kt-row-column-wrap) > .wp-block-kadence-column{justify-content:start;}.kb-row-layout-id12239_55ecd2-be > .kt-row-column-wrap{column-gap:var(--global-kb-gap-md, 2rem);row-gap:var(--global-kb-gap-md, 2rem);padding-top:26px;padding-bottom:25px;grid-template-columns:repeat(2, minmax(0, 1fr));}.kb-row-layout-id12239_55ecd2-be > .kt-row-layout-overlay{opacity:0.30;}@media all and (max-width: 1024px){.kb-row-layout-id12239_55ecd2-be > .kt-row-column-wrap{grid-template-columns:repeat(2, minmax(0, 1fr));}}@media all and (max-width: 767px){.kb-row-layout-id12239_55ecd2-be > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}<\/style><div class=\"kb-row-layout-wrap kb-row-layout-id12239_55ecd2-be alignnone wp-block-kadence-rowlayout\"><div class=\"kt-row-column-wrap kt-has-2-columns kt-row-layout-equal kt-tab-layout-inherit kt-mobile-layout-row kt-row-valign-top\">\n<style>.kadence-column12239_4e07fb-b1 > .kt-inside-inner-col,.kadence-column12239_4e07fb-b1 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_4e07fb-b1 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_4e07fb-b1 > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_4e07fb-b1 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_4e07fb-b1 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_4e07fb-b1{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_4e07fb-b1 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_4e07fb-b1 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_4e07fb-b1 inner-column-1\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">27. National Oceanic and Atmospheric Administration Satellite (NOAA)<\/h4>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" width=\"425\" height=\"252\" class=\"alignnone size-medium-large wp-image-16146\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/09\/NOAA-satellite-425x252.png\" alt=\"NOAA-19 satellite\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/09\/NOAA-satellite-425x252.png 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/09\/NOAA-satellite-300x178.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/09\/NOAA-satellite-50x30.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/09\/NOAA-satellite-200x119.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/09\/NOAA-satellite-550x326.png 550w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/09\/NOAA-satellite-115x68.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/09\/NOAA-satellite-261x155.png 261w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/09\/NOAA-satellite.png 588w\" sizes=\"auto, (max-width: 425px) 100vw, 425px\" \/><br>NOAA satellites enable us to get a complete view of weather and environmental conditions around the world each day.<br> <font size=\"-2\">Image Credit: NASA<\/font> <\/p>\n<\/div><\/div>\n\n\n<style>.kadence-column12239_11a427-80 > .kt-inside-inner-col,.kadence-column12239_11a427-80 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_11a427-80 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_11a427-80 > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_11a427-80 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_11a427-80 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_11a427-80{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_11a427-80 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_11a427-80 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_11a427-80 inner-column-2\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">28. METEOSAT<\/h4>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" width=\"425\" height=\"313\" class=\"alignnone size-medium-large wp-image-12431\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/meteosat-425x313.png\" alt=\"meteosat\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/meteosat-425x313.png 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/meteosat-300x221.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/meteosat-50x37.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/meteosat-200x147.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/meteosat-550x405.png 550w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/meteosat-115x85.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/meteosat-211x155.png 211w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/meteosat.png 560w\" sizes=\"auto, (max-width: 425px) 100vw, 425px\" \/><br>Meteosat is the geostationary observer in Europe and Africa. By beaming images of Europe\u2019s weather every 15 minutes, it&#8217;s ideal for weather forecasting.<br> <font size=\"-2\">Image Credit: ESA<\/font><\/p>\n<\/div><\/div>\n\n<\/div><\/div>\n\n<style>.kb-row-layout-id12239_09ea3a-0a > .kt-row-column-wrap{align-content:start;}:where(.kb-row-layout-id12239_09ea3a-0a > .kt-row-column-wrap) > .wp-block-kadence-column{justify-content:start;}.kb-row-layout-id12239_09ea3a-0a > .kt-row-column-wrap{column-gap:var(--global-kb-gap-md, 2rem);row-gap:var(--global-kb-gap-md, 2rem);padding-top:25px;padding-bottom:20px;grid-template-columns:repeat(2, minmax(0, 1fr));}.kb-row-layout-id12239_09ea3a-0a > .kt-row-layout-overlay{opacity:0.30;}@media all and (max-width: 1024px){.kb-row-layout-id12239_09ea3a-0a > .kt-row-column-wrap{grid-template-columns:repeat(2, minmax(0, 1fr));}}@media all and (max-width: 767px){.kb-row-layout-id12239_09ea3a-0a > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}<\/style><div class=\"kb-row-layout-wrap kb-row-layout-id12239_09ea3a-0a alignnone wp-block-kadence-rowlayout\"><div class=\"kt-row-column-wrap kt-has-2-columns kt-row-layout-equal kt-tab-layout-inherit kt-mobile-layout-row kt-row-valign-top\">\n<style>.kadence-column12239_50e62b-b6 > .kt-inside-inner-col,.kadence-column12239_50e62b-b6 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_50e62b-b6 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_50e62b-b6 > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_50e62b-b6 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_50e62b-b6 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_50e62b-b6{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_50e62b-b6 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_50e62b-b6 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_50e62b-b6 inner-column-1\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">29. Aqua<\/h4>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" width=\"425\" height=\"283\" class=\"alignnone size-medium-large wp-image-12283\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Aqua-425x283.png\" alt=\"Aqua satellite\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Aqua-425x283.png 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Aqua-300x200.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Aqua-678x452.png 678w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Aqua-50x33.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Aqua-150x100.png 150w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Aqua-200x133.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Aqua-550x367.png 550w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Aqua-115x77.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Aqua-233x155.png 233w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Aqua.png 720w\" sizes=\"auto, (max-width: 425px) 100vw, 425px\" \/><br>Aqua is NASA\u2019s multi-purpose satellite. Not only does it tap into Earth\u2019s water cycle by measuring relative humidity (AIRS\/AMSU), but it also estimates cloud height (CERES) and energy flux (AMSR-E).<br> <font size=\"-2\">Image Credit: NASA<\/font><\/p>\n<\/div><\/div>\n\n\n<style>.kadence-column12239_8d74de-8f > .kt-inside-inner-col,.kadence-column12239_8d74de-8f > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_8d74de-8f > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_8d74de-8f > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_8d74de-8f > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_8d74de-8f > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_8d74de-8f{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_8d74de-8f > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_8d74de-8f > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_8d74de-8f inner-column-2\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">30. Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO)<\/h4>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" width=\"425\" height=\"288\" class=\"alignnone size-medium-large wp-image-12583\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/calipso-425x288.png\" alt=\"calipso\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/calipso-425x288.png 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/calipso-300x203.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/calipso-50x34.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/calipso-200x136.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/calipso-115x78.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/calipso-229x155.png 229w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/calipso.png 438w\" sizes=\"auto, (max-width: 425px) 100vw, 425px\" \/><br>Using laser technology and a special sensor for cirrus cloud, CALIPSO graphs the vertical profiles of cloud structure.<br> <font size=\"-2\">Image Credit: NASA<\/font><\/p>\n<\/div><\/div>\n\n<\/div><\/div>\n\n<style>.kb-row-layout-id12239_8c0090-0a > .kt-row-column-wrap{align-content:start;}:where(.kb-row-layout-id12239_8c0090-0a > .kt-row-column-wrap) > .wp-block-kadence-column{justify-content:start;}.kb-row-layout-id12239_8c0090-0a > .kt-row-column-wrap{column-gap:var(--global-kb-gap-md, 2rem);row-gap:var(--global-kb-gap-md, 2rem);padding-top:10px;padding-bottom:25px;grid-template-columns:repeat(2, minmax(0, 1fr));}.kb-row-layout-id12239_8c0090-0a > .kt-row-layout-overlay{opacity:0.30;}@media all and (max-width: 1024px){.kb-row-layout-id12239_8c0090-0a > .kt-row-column-wrap{grid-template-columns:repeat(2, minmax(0, 1fr));}}@media all and (max-width: 767px){.kb-row-layout-id12239_8c0090-0a > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}<\/style><div class=\"kb-row-layout-wrap kb-row-layout-id12239_8c0090-0a alignnone wp-block-kadence-rowlayout\"><div class=\"kt-row-column-wrap kt-has-2-columns kt-row-layout-equal kt-tab-layout-inherit kt-mobile-layout-row kt-row-valign-top\">\n<style>.kadence-column12239_b778ac-66 > .kt-inside-inner-col,.kadence-column12239_b778ac-66 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_b778ac-66 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_b778ac-66 > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_b778ac-66 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_b778ac-66 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_b778ac-66{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_b778ac-66 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_b778ac-66 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_b778ac-66 inner-column-1\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">31. Television Infrared Observation Satellites (TIROS)<\/h4>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" width=\"425\" height=\"235\" class=\"alignnone size-medium-large wp-image-12388\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/tiros-425x235.png\" alt=\"tiros\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/tiros-425x235.png 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/tiros-300x166.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/tiros-50x28.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/tiros-70x40.png 70w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/tiros-200x111.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/tiros-550x305.png 550w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/tiros-115x64.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/tiros-280x155.png 280w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/tiros.png 670w\" sizes=\"auto, (max-width: 425px) 100vw, 425px\" \/><br>In the 1960s, TIROS was instrumental in sending early storm warnings. Specifically, this low-Earth orbiting satellite was built for televising infrared weather observations.<br> <font size=\"-2\">Image Credit: NASA<\/font><\/p>\n<\/div><\/div>\n\n\n<style>.kadence-column12239_16b677-19 > .kt-inside-inner-col,.kadence-column12239_16b677-19 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_16b677-19 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_16b677-19 > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_16b677-19 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_16b677-19 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_16b677-19{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_16b677-19 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_16b677-19 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_16b677-19 inner-column-2\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">32. CloudSAT<\/h4>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" width=\"425\" height=\"295\" class=\"alignnone size-medium-large wp-image-12353\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/cloudsat-425x295.png\" alt=\"cloudsat\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/cloudsat-425x295.png 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/cloudsat-300x209.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/cloudsat-50x35.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/cloudsat-200x139.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/cloudsat-550x382.png 550w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/cloudsat-115x80.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/cloudsat-223x155.png 223w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/cloudsat.png 587w\" sizes=\"auto, (max-width: 425px) 100vw, 425px\" \/><br>With its head in the clouds, this satellite profiles its vertical billowing formation with radar. It&#8217;s key for understanding the atmospheric and hydrological cycles because of the influence clouds have on weather and climate.<br> <font size=\"-2\">Image Credit: NASA<\/font><\/p>\n<\/div><\/div>\n\n<\/div><\/div>\n\n<style>.kb-row-layout-id12239_e0f7ed-06 > .kt-row-column-wrap{align-content:start;}:where(.kb-row-layout-id12239_e0f7ed-06 > .kt-row-column-wrap) > .wp-block-kadence-column{justify-content:start;}.kb-row-layout-id12239_e0f7ed-06 > .kt-row-column-wrap{column-gap:var(--global-kb-gap-md, 2rem);row-gap:var(--global-kb-gap-md, 2rem);padding-top:var(--global-kb-spacing-sm, 1.5rem);padding-bottom:var(--global-kb-spacing-sm, 1.5rem);grid-template-columns:repeat(2, minmax(0, 1fr));}.kb-row-layout-id12239_e0f7ed-06 > .kt-row-layout-overlay{opacity:0.30;}@media all and (max-width: 1024px){.kb-row-layout-id12239_e0f7ed-06 > .kt-row-column-wrap{grid-template-columns:repeat(2, minmax(0, 1fr));}}@media all and (max-width: 767px){.kb-row-layout-id12239_e0f7ed-06 > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}<\/style><div class=\"kb-row-layout-wrap kb-row-layout-id12239_e0f7ed-06 alignnone wp-block-kadence-rowlayout\"><div class=\"kt-row-column-wrap kt-has-2-columns kt-row-layout-equal kt-tab-layout-inherit kt-mobile-layout-row kt-row-valign-top\">\n<style>.kadence-column12239_224554-cd > .kt-inside-inner-col,.kadence-column12239_224554-cd > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_224554-cd > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_224554-cd > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_224554-cd > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_224554-cd > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_224554-cd{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_224554-cd > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_224554-cd > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_224554-cd inner-column-1\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">33. Aura<\/h4>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"678\" height=\"426\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Aura-678x426.jpg\" alt=\"Aura\" class=\"wp-image-96588\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Aura-678x426.jpg 678w, https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Aura-300x189.jpg 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Aura-768x483.jpg 768w, https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Aura.jpg 800w\" sizes=\"auto, (max-width: 678px) 100vw, 678px\" \/><\/figure>\n\n\n\n<p>Aura is NASA&#8217;s satellite dedicated to uncovering air quality and climate health. For example, its 4 instruments (HIRDLS, MLS, OMI &amp; TES) measure trace gases, temperature, and aerosols in the upper atmosphere.<br> <font size=\"-2\">Image Credit: NASA<\/font><\/p>\n<\/div><\/div>\n\n\n<style>.kadence-column12239_bc9045-55 > .kt-inside-inner-col,.kadence-column12239_bc9045-55 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_bc9045-55 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_bc9045-55 > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_bc9045-55 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_bc9045-55 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_bc9045-55{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_bc9045-55 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_bc9045-55 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_bc9045-55 inner-column-2\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">34. Suomi<\/h4>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"678\" height=\"410\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Suomi-678x410.jpg\" alt=\"Suomi\" class=\"wp-image-97695\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Suomi-678x410.jpg 678w, https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Suomi-300x181.jpg 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Suomi.jpg 750w\" sizes=\"auto, (max-width: 678px) 100vw, 678px\" \/><\/figure>\n\n\n\n<p>Suomi orbits the poles for the purpose of weather forecasting, land and ocean studies. Throughout history, it&#8217;s captured views of monstrous tornadoes and supercells.<br> <font size=\"-2\">Image Credit: Copyright \u00a9 NOAA<\/font><\/p>\n<\/div><\/div>\n\n<\/div><\/div>\n\n<style>.kb-row-layout-id12239_e7f019-28 > .kt-row-column-wrap{align-content:start;}:where(.kb-row-layout-id12239_e7f019-28 > .kt-row-column-wrap) > .wp-block-kadence-column{justify-content:start;}.kb-row-layout-id12239_e7f019-28 > .kt-row-column-wrap{column-gap:var(--global-kb-gap-md, 2rem);row-gap:var(--global-kb-gap-md, 2rem);padding-top:var(--global-kb-spacing-sm, 1.5rem);padding-bottom:var(--global-kb-spacing-sm, 1.5rem);grid-template-columns:repeat(2, minmax(0, 1fr));}.kb-row-layout-id12239_e7f019-28 > .kt-row-layout-overlay{opacity:0.30;}@media all and (max-width: 1024px){.kb-row-layout-id12239_e7f019-28 > .kt-row-column-wrap{grid-template-columns:repeat(2, minmax(0, 1fr));}}@media all and (max-width: 767px){.kb-row-layout-id12239_e7f019-28 > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}<\/style><div class=\"kb-row-layout-wrap kb-row-layout-id12239_e7f019-28 alignnone wp-block-kadence-rowlayout\"><div class=\"kt-row-column-wrap kt-has-2-columns kt-row-layout-equal kt-tab-layout-inherit kt-mobile-layout-row kt-row-valign-top\">\n<style>.kadence-column12239_58aacb-c0 > .kt-inside-inner-col,.kadence-column12239_58aacb-c0 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_58aacb-c0 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_58aacb-c0 > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_58aacb-c0 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_58aacb-c0 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_58aacb-c0{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_58aacb-c0 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_58aacb-c0 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_58aacb-c0 inner-column-1\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">35. Polar-orbiting Operational Environmental Satellites (POES)<\/h4>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" width=\"346\" height=\"225\" class=\"alignnone size-full wp-image-12761\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/11\/poes.png\" alt=\"poes\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/11\/poes.png 346w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/11\/poes-300x195.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/11\/poes-50x33.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/11\/poes-200x130.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/11\/poes-115x75.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/11\/poes-238x155.png 238w\" sizes=\"auto, (max-width: 346px) 100vw, 346px\" \/><br>NOAA\u2019s polar-orbiting meteorological satellite (<a href=\"https:\/\/gisgeography.com\/goes-poes-geostationary-polar-operational-environmental-satellites\/\">POES<\/a>) has taken some of the mystery out of atmospheric phenomena with high spatial and temporal resolution images.<br> <font size=\"-2\">Image Credit: NOAA<\/font><\/p>\n<\/div><\/div>\n\n\n<style>.kadence-column12239_be827d-7c > .kt-inside-inner-col,.kadence-column12239_be827d-7c > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_be827d-7c > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_be827d-7c > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_be827d-7c > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_be827d-7c > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_be827d-7c{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_be827d-7c > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_be827d-7c > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_be827d-7c inner-column-2\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">36. Soil Moisture Active Passive (SMAP)<\/h4>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" width=\"425\" height=\"296\" class=\"alignnone size-medium-large wp-image-12439\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/smap-425x296.png\" alt=\"smap\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/smap-425x296.png 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/smap-300x209.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/smap-50x35.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/smap-200x139.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/smap-115x80.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/smap-223x155.png 223w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/smap.png 448w\" sizes=\"auto, (max-width: 425px) 100vw, 425px\" \/><br>SMAP is equipped with a pair of active and passive sensors to measure fine-scale global soil moisture. Due to a sensor malfunction, it\u2019s all passive similar to SMOS.<br> <font size=\"-2\">Image Credit: NASA<\/font><\/p>\n<\/div><\/div>\n\n<\/div><\/div>\n\n<style>.kb-row-layout-id12239_b3629a-6f > .kt-row-column-wrap{align-content:start;}:where(.kb-row-layout-id12239_b3629a-6f > .kt-row-column-wrap) > .wp-block-kadence-column{justify-content:start;}.kb-row-layout-id12239_b3629a-6f > .kt-row-column-wrap{column-gap:var(--global-kb-gap-md, 2rem);row-gap:var(--global-kb-gap-md, 2rem);padding-top:20px;padding-bottom:25px;grid-template-columns:repeat(2, minmax(0, 1fr));}.kb-row-layout-id12239_b3629a-6f > .kt-row-layout-overlay{opacity:0.30;}@media all and (max-width: 1024px){.kb-row-layout-id12239_b3629a-6f > .kt-row-column-wrap{grid-template-columns:repeat(2, minmax(0, 1fr));}}@media all and (max-width: 767px){.kb-row-layout-id12239_b3629a-6f > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}<\/style><div class=\"kb-row-layout-wrap kb-row-layout-id12239_b3629a-6f alignnone wp-block-kadence-rowlayout\"><div class=\"kt-row-column-wrap kt-has-2-columns kt-row-layout-equal kt-tab-layout-inherit kt-mobile-layout-row kt-row-valign-top\">\n<style>.kadence-column12239_957cd5-30 > .kt-inside-inner-col,.kadence-column12239_957cd5-30 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_957cd5-30 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_957cd5-30 > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_957cd5-30 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_957cd5-30 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_957cd5-30{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_957cd5-30 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_957cd5-30 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_957cd5-30 inner-column-1\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">37. SciSAT<\/h4>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" width=\"425\" height=\"238\" class=\"alignnone size-medium-large wp-image-12585\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/scisat-425x238.png\" alt=\"scisat\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/scisat-425x238.png 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/scisat-300x168.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/scisat-50x28.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/scisat-174x98.png 174w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/scisat-70x40.png 70w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/scisat-200x112.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/scisat-115x64.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/scisat-277x155.png 277w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/scisat.png 442w\" sizes=\"auto, (max-width: 425px) 100vw, 425px\" \/><br>SciSAT creeps through the shadows of Earth. Only on the dark side of Earth, it can record the depletion of ozone. That&#8217;s why it&#8217;s nicknamed the nightcrawler satellite.<br> <font size=\"-2\">Image Credit: Canadian Space Agency<\/font><\/p>\n<\/div><\/div>\n\n\n<style>.kadence-column12239_3325f3-4b > .kt-inside-inner-col,.kadence-column12239_3325f3-4b > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_3325f3-4b > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_3325f3-4b > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_3325f3-4b > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_3325f3-4b > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_3325f3-4b{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_3325f3-4b > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_3325f3-4b > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_3325f3-4b inner-column-2\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">38. ACRIMSAT<\/h4>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"678\" height=\"455\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Acrimsat-678x455.jpg\" alt=\"Acrimsat\" class=\"wp-image-96625\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Acrimsat-678x455.jpg 678w, https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Acrimsat-300x201.jpg 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Acrimsat-768x516.jpg 768w, https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Acrimsat.jpg 800w\" sizes=\"auto, (max-width: 678px) 100vw, 678px\" \/><\/figure>\n\n\n\n<p>The solar-monitoring ACRIMSAT performed experimental studies for solar irradiance. In fact, it recorded a 0.1% reduction in solar intensity caused by the Venus shadow in 2004.<br> <font size=\"-2\">Image Credit: NASA\/JPL<\/font><\/p>\n<\/div><\/div>\n\n<\/div><\/div>\n\n<style>.kb-row-layout-id12239_c4a825-f9 > .kt-row-column-wrap{align-content:start;}:where(.kb-row-layout-id12239_c4a825-f9 > .kt-row-column-wrap) > .wp-block-kadence-column{justify-content:start;}.kb-row-layout-id12239_c4a825-f9 > .kt-row-column-wrap{column-gap:var(--global-kb-gap-md, 2rem);row-gap:var(--global-kb-gap-md, 2rem);padding-top:25px;padding-bottom:10px;grid-template-columns:repeat(2, minmax(0, 1fr));}.kb-row-layout-id12239_c4a825-f9 > .kt-row-layout-overlay{opacity:0.30;}@media all and (max-width: 1024px){.kb-row-layout-id12239_c4a825-f9 > .kt-row-column-wrap{grid-template-columns:repeat(2, minmax(0, 1fr));}}@media all and (max-width: 767px){.kb-row-layout-id12239_c4a825-f9 > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}<\/style><div class=\"kb-row-layout-wrap kb-row-layout-id12239_c4a825-f9 alignnone wp-block-kadence-rowlayout\"><div class=\"kt-row-column-wrap kt-has-2-columns kt-row-layout-equal kt-tab-layout-inherit kt-mobile-layout-row kt-row-valign-top\">\n<style>.kadence-column12239_9f708f-06 > .kt-inside-inner-col,.kadence-column12239_9f708f-06 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_9f708f-06 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_9f708f-06 > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_9f708f-06 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_9f708f-06 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_9f708f-06{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_9f708f-06 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_9f708f-06 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_9f708f-06 inner-column-1\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">39. Megha-Tropique<\/h4>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" width=\"425\" height=\"199\" class=\"alignnone size-medium-large wp-image-12587\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/megha-trophique-425x199.png\" alt=\"megha trophique\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/megha-trophique-425x199.png 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/megha-trophique-300x140.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/megha-trophique-678x317.png 678w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/megha-trophique-768x359.png 768w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/megha-trophique-50x23.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/megha-trophique-200x94.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/megha-trophique-550x257.png 550w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/megha-trophique-115x54.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/megha-trophique-332x155.png 332w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/megha-trophique.png 800w\" sizes=\"auto, (max-width: 425px) 100vw, 425px\" \/><br>Megha-Trophique will cruise the tropics to better understand the global water cycle. As part of the Global Energy and Water Cycle Experiment (GEWEX), it aims to study climate change.<br> <font size=\"-2\">Image Credit: ESA<\/font><\/p>\n<\/div><\/div>\n\n\n<style>.kadence-column12239_c6cd74-13 > .kt-inside-inner-col,.kadence-column12239_c6cd74-13 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_c6cd74-13 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_c6cd74-13 > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_c6cd74-13 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_c6cd74-13 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_c6cd74-13{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_c6cd74-13 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_c6cd74-13 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_c6cd74-13 inner-column-2\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">40. IceSAT<\/h4>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"678\" height=\"484\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Icesat-678x484.jpg\" alt=\"Icesat\" class=\"wp-image-96590\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Icesat-678x484.jpg 678w, https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Icesat-300x214.jpg 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Icesat-768x548.jpg 768w, https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Icesat.jpg 800w\" sizes=\"auto, (max-width: 678px) 100vw, 678px\" \/><\/figure>\n\n\n\n<p>Ice Sat has made over 904 million measurements of the Earth\u2019s surface. In fact, it was the first space-borne laser altimeter (GLAS) to capture everything from forest heights to ice thickness.<br> <font size=\"-2\">Image Credit: NASA\/JPL-Caltech<\/font><\/p>\n<\/div><\/div>\n\n<\/div><\/div>\n\n<style>.kb-row-layout-id12239_c8a4ea-e7 > .kt-row-column-wrap{align-content:start;}:where(.kb-row-layout-id12239_c8a4ea-e7 > .kt-row-column-wrap) > .wp-block-kadence-column{justify-content:start;}.kb-row-layout-id12239_c8a4ea-e7 > .kt-row-column-wrap{column-gap:var(--global-kb-gap-md, 2rem);row-gap:var(--global-kb-gap-md, 2rem);padding-top:var(--global-kb-spacing-sm, 1.5rem);padding-bottom:var(--global-kb-spacing-sm, 1.5rem);grid-template-columns:repeat(2, minmax(0, 1fr));}.kb-row-layout-id12239_c8a4ea-e7 > .kt-row-layout-overlay{opacity:0.30;}@media all and (max-width: 1024px){.kb-row-layout-id12239_c8a4ea-e7 > .kt-row-column-wrap{grid-template-columns:repeat(2, minmax(0, 1fr));}}@media all and (max-width: 767px){.kb-row-layout-id12239_c8a4ea-e7 > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}<\/style><div class=\"kb-row-layout-wrap kb-row-layout-id12239_c8a4ea-e7 alignnone wp-block-kadence-rowlayout\"><div class=\"kt-row-column-wrap kt-has-2-columns kt-row-layout-equal kt-tab-layout-inherit kt-mobile-layout-row kt-row-valign-top\">\n<style>.kadence-column12239_a76c08-6f > .kt-inside-inner-col,.kadence-column12239_a76c08-6f > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_a76c08-6f > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_a76c08-6f > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_a76c08-6f > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_a76c08-6f > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_a76c08-6f{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_a76c08-6f > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_a76c08-6f > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_a76c08-6f inner-column-1\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">41. Gravity Recovery and Climate Experiment (GRACE)<\/h4>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" width=\"345\" height=\"252\" class=\"alignnone size-full wp-image-12277\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/GRACE.png\" alt=\"GRACE satellite\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/GRACE.png 345w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/GRACE-300x219.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/GRACE-50x37.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/GRACE-200x146.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/GRACE-115x84.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/GRACE-212x155.png 212w\" sizes=\"auto, (max-width: 345px) 100vw, 345px\" \/><br>This satellite tag team chases each other in the same orbit. By measuring each other&#8217;s tiny shifts, they know where gravity pull is stronger on Earth.<br> <font size=\"-2\">Image Credit: NASA\/JPL<\/font><\/p>\n<\/div><\/div>\n\n\n<style>.kadence-column12239_3b810e-a3 > .kt-inside-inner-col,.kadence-column12239_3b810e-a3 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_3b810e-a3 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_3b810e-a3 > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_3b810e-a3 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_3b810e-a3 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_3b810e-a3{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_3b810e-a3 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_3b810e-a3 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_3b810e-a3 inner-column-2\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">42. Gravity Field and Steady-State Ocean Circulation Explorer (GOCE)<\/h4>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" width=\"425\" height=\"288\" class=\"alignnone size-medium-large wp-image-12429\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/goce-425x288.png\" alt=\"goce satellite\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/goce-425x288.png 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/goce-300x203.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/goce-50x34.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/goce-200x136.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/goce-115x78.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/goce-229x155.png 229w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/goce.png 450w\" sizes=\"auto, (max-width: 425px) 100vw, 425px\" \/><br>GOCE specializes in measuring Earth\u2019s gravity field and ocean behavior with unprecedented detail. By using highly sensitive gradiometers and accelerometers, it accomplishes this feat.<br> <font size=\"-2\">Image Courtesy of ESA\/Airbus &amp; Defense<\/font><\/p>\n<\/div><\/div>\n\n<\/div><\/div>\n\n<style>.kb-row-layout-id12239_e6dd19-2a > .kt-row-column-wrap{align-content:start;}:where(.kb-row-layout-id12239_e6dd19-2a > .kt-row-column-wrap) > .wp-block-kadence-column{justify-content:start;}.kb-row-layout-id12239_e6dd19-2a > .kt-row-column-wrap{column-gap:var(--global-kb-gap-md, 2rem);row-gap:var(--global-kb-gap-md, 2rem);padding-top:25px;padding-bottom:10px;grid-template-columns:repeat(2, minmax(0, 1fr));}.kb-row-layout-id12239_e6dd19-2a > .kt-row-layout-overlay{opacity:0.30;}@media all and (max-width: 1024px){.kb-row-layout-id12239_e6dd19-2a > .kt-row-column-wrap{grid-template-columns:repeat(2, minmax(0, 1fr));}}@media all and (max-width: 767px){.kb-row-layout-id12239_e6dd19-2a > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}<\/style><div class=\"kb-row-layout-wrap kb-row-layout-id12239_e6dd19-2a alignnone wp-block-kadence-rowlayout\"><div class=\"kt-row-column-wrap kt-has-2-columns kt-row-layout-equal kt-tab-layout-inherit kt-mobile-layout-row kt-row-valign-top\">\n<style>.kadence-column12239_5e82d6-33 > .kt-inside-inner-col,.kadence-column12239_5e82d6-33 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_5e82d6-33 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_5e82d6-33 > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_5e82d6-33 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_5e82d6-33 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_5e82d6-33{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_5e82d6-33 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_5e82d6-33 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_5e82d6-33 inner-column-1\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">43. Magnetospheric Multiscale Mission (MMS)<\/h4>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" width=\"425\" height=\"291\" class=\"alignnone size-medium-large wp-image-12588\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/magnetospheric-satellite-425x291.png\" alt=\"magnetospheric satellite\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/magnetospheric-satellite-425x291.png 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/magnetospheric-satellite-300x205.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/magnetospheric-satellite-678x464.png 678w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/magnetospheric-satellite-768x526.png 768w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/magnetospheric-satellite-50x34.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/magnetospheric-satellite-200x137.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/magnetospheric-satellite-550x376.png 550w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/magnetospheric-satellite-115x79.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/magnetospheric-satellite-850x582.png 850w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/magnetospheric-satellite-227x155.png 227w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/magnetospheric-satellite.png 1080w\" sizes=\"auto, (max-width: 425px) 100vw, 425px\" \/><br>MMS specializes in the magnetosphere. A tetrahedral formation consists of four identical space crafts. In unison, they map the interaction between the sun and Earth\u2019s magnetic field.<br> <font size=\"-2\">Image Credit: NASA<\/font><\/p>\n<\/div><\/div>\n\n\n<style>.kadence-column12239_1221f3-27 > .kt-inside-inner-col,.kadence-column12239_1221f3-27 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_1221f3-27 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_1221f3-27 > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_1221f3-27 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_1221f3-27 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_1221f3-27{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_1221f3-27 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_1221f3-27 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_1221f3-27 inner-column-2\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">44. Advanced Land Observation Satellite (ALOS)<\/h4>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" width=\"425\" height=\"183\" class=\"alignnone size-medium-large wp-image-12389\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/alos-425x183.png\" alt=\"alos\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/alos-425x183.png 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/alos-300x129.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/alos-678x292.png 678w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/alos-768x331.png 768w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/alos-50x22.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/alos-80x35.png 80w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/alos-174x74.png 174w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/alos-200x86.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/alos-550x237.png 550w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/alos-115x50.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/alos-850x366.png 850w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/alos-360x155.png 360w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/alos.png 970w\" sizes=\"auto, (max-width: 425px) 100vw, 425px\" \/><br>ALOS-1 sculpted the world\u2019s most precise elevation model at 5-meter resolution. Now, ALOS-2 has several upgrades such as L-band PALSAR radar and stereo mapping (PRISM).<br> <font size=\"-2\">Image Credit: JAXA<\/font> <\/p>\n<\/div><\/div>\n\n<\/div><\/div>\n\n<style>.kb-row-layout-id12239_2799b4-e8 > .kt-row-column-wrap{align-content:start;}:where(.kb-row-layout-id12239_2799b4-e8 > .kt-row-column-wrap) > .wp-block-kadence-column{justify-content:start;}.kb-row-layout-id12239_2799b4-e8 > .kt-row-column-wrap{column-gap:var(--global-kb-gap-md, 2rem);row-gap:var(--global-kb-gap-md, 2rem);padding-top:var(--global-kb-spacing-sm, 1.5rem);padding-bottom:var(--global-kb-spacing-sm, 1.5rem);grid-template-columns:repeat(2, minmax(0, 1fr));}.kb-row-layout-id12239_2799b4-e8 > .kt-row-layout-overlay{opacity:0.30;}@media all and (max-width: 1024px){.kb-row-layout-id12239_2799b4-e8 > .kt-row-column-wrap{grid-template-columns:repeat(2, minmax(0, 1fr));}}@media all and (max-width: 767px){.kb-row-layout-id12239_2799b4-e8 > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}<\/style><div class=\"kb-row-layout-wrap kb-row-layout-id12239_2799b4-e8 alignnone wp-block-kadence-rowlayout\"><div class=\"kt-row-column-wrap kt-has-2-columns kt-row-layout-equal kt-tab-layout-inherit kt-mobile-layout-row kt-row-valign-top\">\n<style>.kadence-column12239_a8cef8-6e > .kt-inside-inner-col,.kadence-column12239_a8cef8-6e > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_a8cef8-6e > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_a8cef8-6e > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_a8cef8-6e > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_a8cef8-6e > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_a8cef8-6e{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_a8cef8-6e > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_a8cef8-6e > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_a8cef8-6e inner-column-1\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">45. TerraSAR (TanDEM-X)<\/h4>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" width=\"406\" height=\"282\" class=\"alignnone size-full wp-image-16079\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/08\/terrasar.png\" alt=\"terrasar\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/08\/terrasar.png 406w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/08\/terrasar-300x208.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/08\/terrasar-50x35.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/08\/terrasar-200x139.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/08\/terrasar-115x80.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2017\/08\/terrasar-223x155.png 223w\" sizes=\"auto, (max-width: 406px) 100vw, 406px\" \/><br>TerraSAR and TanDEM-X are twin German satellites. In tandem, they carved out the unrivaled WorldDEM using X-band radar. Now, we use it for disasters, earthquakes, and the environment.<br> <font size=\"-2\">Image Courtesy of Airbus &amp; Defense<\/font> <\/p>\n<\/div><\/div>\n\n\n<style>.kadence-column12239_61754a-9a > .kt-inside-inner-col,.kadence-column12239_61754a-9a > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_61754a-9a > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_61754a-9a > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_61754a-9a > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_61754a-9a > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_61754a-9a{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_61754a-9a > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_61754a-9a > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_61754a-9a inner-column-2\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">46. Mars Orbiter Laser Altimeter (MOLA)<\/h4>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" width=\"420\" height=\"298\" class=\"alignnone size-full wp-image-12584\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/mars-global-surveyor.png\" alt=\"mars global surveyor\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/mars-global-surveyor.png 420w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/mars-global-surveyor-300x213.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/mars-global-surveyor-50x35.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/mars-global-surveyor-200x142.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/mars-global-surveyor-115x82.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/10\/mars-global-surveyor-218x155.png 218w\" sizes=\"auto, (max-width: 420px) 100vw, 420px\" \/><br>MOLA is the reigning monarch of Mars. By scanning the topography, this interplanetary mission has found ancient river beds weaving through the Martian surface.<br> <font size=\"-2\">Image Credit: NASA<\/font><\/p>\n<\/div><\/div>\n\n<\/div><\/div>\n\n<style>.kb-row-layout-id12239_bf1f8f-93 > .kt-row-column-wrap{align-content:start;}:where(.kb-row-layout-id12239_bf1f8f-93 > .kt-row-column-wrap) > .wp-block-kadence-column{justify-content:start;}.kb-row-layout-id12239_bf1f8f-93 > .kt-row-column-wrap{column-gap:var(--global-kb-gap-md, 2rem);row-gap:var(--global-kb-gap-md, 2rem);padding-top:10px;padding-bottom:25px;grid-template-columns:repeat(2, minmax(0, 1fr));}.kb-row-layout-id12239_bf1f8f-93 > .kt-row-layout-overlay{opacity:0.30;}@media all and (max-width: 1024px){.kb-row-layout-id12239_bf1f8f-93 > .kt-row-column-wrap{grid-template-columns:repeat(2, minmax(0, 1fr));}}@media all and (max-width: 767px){.kb-row-layout-id12239_bf1f8f-93 > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}<\/style><div class=\"kb-row-layout-wrap kb-row-layout-id12239_bf1f8f-93 alignnone wp-block-kadence-rowlayout\"><div class=\"kt-row-column-wrap kt-has-2-columns kt-row-layout-equal kt-tab-layout-inherit kt-mobile-layout-row kt-row-valign-top\">\n<style>.kadence-column12239_9a3a33-f2 > .kt-inside-inner-col,.kadence-column12239_9a3a33-f2 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_9a3a33-f2 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_9a3a33-f2 > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_9a3a33-f2 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_9a3a33-f2 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_9a3a33-f2{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_9a3a33-f2 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_9a3a33-f2 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_9a3a33-f2 inner-column-1\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">47. Joint Altimetry Satellite Oceanography Network (JASON)<\/h4>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" width=\"425\" height=\"188\" class=\"alignnone size-medium-large wp-image-12762\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/11\/jason-satellite-425x188.png\" alt=\"jason satellite\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/11\/jason-satellite-425x188.png 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/11\/jason-satellite-300x132.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/11\/jason-satellite-678x299.png 678w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/11\/jason-satellite-50x22.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/11\/jason-satellite-80x35.png 80w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/11\/jason-satellite-200x88.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/11\/jason-satellite-550x243.png 550w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/11\/jason-satellite-115x51.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/11\/jason-satellite-351x155.png 351w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/11\/jason-satellite.png 702w\" sizes=\"auto, (max-width: 425px) 100vw, 425px\" \/><br>JASON\u2019s altimeter is responsible for mapping ocean floor bathymetry. This upgraded version of TOPEX\/Poseidon monitors rising sea levels, which is a by-product of climate change.<br> <font size=\"-2\">Image Credit: NASA<\/font><\/p>\n<\/div><\/div>\n\n\n<style>.kadence-column12239_ff8d14-b4 > .kt-inside-inner-col,.kadence-column12239_ff8d14-b4 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_ff8d14-b4 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_ff8d14-b4 > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_ff8d14-b4 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_ff8d14-b4 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_ff8d14-b4{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_ff8d14-b4 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_ff8d14-b4 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_ff8d14-b4 inner-column-2\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">48. SeaStar (Orbview-2)<\/h4>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" width=\"425\" height=\"287\" class=\"alignnone size-medium-large wp-image-12343\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Seawifs-425x287.png\" alt=\"Seawifs\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Seawifs-425x287.png 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Seawifs-300x203.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Seawifs-50x34.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Seawifs-150x100.png 150w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Seawifs-200x135.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Seawifs-115x78.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Seawifs-230x155.png 230w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Seawifs-500x338.png 500w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Seawifs.png 505w\" sizes=\"auto, (max-width: 425px) 100vw, 425px\" \/><br>Biologists use SeaStar to quantify color change from chlorophyll produced by marine plants. Like Sea-Viewing Wide Field-of-View Sensor (SeaWIFS), it&#8217;s key for ocean biology.<br> <font size=\"-2\">Image Credit: NASA<\/font><\/p>\n<\/div><\/div>\n\n<\/div><\/div>\n\n<style>.kb-row-layout-id12239_b10691-9f > .kt-row-column-wrap{align-content:start;}:where(.kb-row-layout-id12239_b10691-9f > .kt-row-column-wrap) > .wp-block-kadence-column{justify-content:start;}.kb-row-layout-id12239_b10691-9f > .kt-row-column-wrap{column-gap:var(--global-kb-gap-md, 2rem);row-gap:var(--global-kb-gap-md, 2rem);padding-top:10px;padding-bottom:25px;grid-template-columns:repeat(2, minmax(0, 1fr));}.kb-row-layout-id12239_b10691-9f > .kt-row-layout-overlay{opacity:0.30;}@media all and (max-width: 1024px){.kb-row-layout-id12239_b10691-9f > .kt-row-column-wrap{grid-template-columns:repeat(2, minmax(0, 1fr));}}@media all and (max-width: 767px){.kb-row-layout-id12239_b10691-9f > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}<\/style><div class=\"kb-row-layout-wrap kb-row-layout-id12239_b10691-9f alignnone wp-block-kadence-rowlayout\"><div class=\"kt-row-column-wrap kt-has-2-columns kt-row-layout-equal kt-tab-layout-inherit kt-mobile-layout-row kt-row-valign-top\">\n<style>.kadence-column12239_8b016b-fb > .kt-inside-inner-col,.kadence-column12239_8b016b-fb > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_8b016b-fb > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_8b016b-fb > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_8b016b-fb > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_8b016b-fb > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_8b016b-fb{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_8b016b-fb > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_8b016b-fb > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_8b016b-fb inner-column-1\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">49. QuickSCAT<\/h4>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"678\" height=\"515\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Quickscat-678x515.jpg\" alt=\"Quickscat\" class=\"wp-image-96579\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Quickscat-678x515.jpg 678w, https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Quickscat-300x228.jpg 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Quickscat-768x584.jpg 768w, https:\/\/gisgeography.com\/wp-content\/uploads\/2019\/11\/Quickscat.jpg 800w\" sizes=\"auto, (max-width: 678px) 100vw, 678px\" \/><\/figure>\n\n\n\n<p>Surfers choose QuickSCAT because its purpose is to measure sea winds and direction. But only for ice-free oceans does its scatterometer work.<br> <font size=\"-2\">Image Credit: NASA<\/font><\/p>\n<\/div><\/div>\n\n\n<style>.kadence-column12239_2e3a8f-4e > .kt-inside-inner-col,.kadence-column12239_2e3a8f-4e > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column12239_2e3a8f-4e > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column12239_2e3a8f-4e > .kt-inside-inner-col{flex-direction:column;}.kadence-column12239_2e3a8f-4e > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column12239_2e3a8f-4e > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column12239_2e3a8f-4e{position:relative;}@media all and (max-width: 1024px){.kadence-column12239_2e3a8f-4e > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column12239_2e3a8f-4e > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column12239_2e3a8f-4e inner-column-2\"><div class=\"kt-inside-inner-col\">\n<h4 class=\"wp-block-heading\">50. Soil Moisture and Ocean Salinity (SMOS)<\/h4>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" width=\"425\" height=\"302\" class=\"alignnone size-medium-large wp-image-12346\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/smos-satellite-425x302.png\" alt=\"SMOS satellite\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/smos-satellite-425x302.png 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/smos-satellite-300x213.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/smos-satellite-50x35.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/smos-satellite-200x142.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/smos-satellite-550x390.png 550w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/smos-satellite-115x82.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/smos-satellite-218x155.png 218w, https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/smos-satellite.png 644w\" sizes=\"auto, (max-width: 425px) 100vw, 425px\" \/><br>SMOS weighs in on soil moisture and ocean salinity through its coarse passive instrumentation. Overall,  it enhances our knowledge of both land and ocean processes.<br> <font size=\"-2\">Image Credit: ESA<\/font><\/p>\n<\/div><\/div>\n\n<\/div><\/div>\n\n\n<div class=\"wp-block-group\" style=\"padding-top:var(--wp--preset--spacing--30);padding-bottom:var(--wp--preset--spacing--30)\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\"><style>.wp-block-kadence-advancedheading.kt-adv-heading12239_f2e0f2-5a, .wp-block-kadence-advancedheading.kt-adv-heading12239_f2e0f2-5a[data-kb-block=\"kb-adv-heading12239_f2e0f2-5a\"]{font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading12239_f2e0f2-5a mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading12239_f2e0f2-5a[data-kb-block=\"kb-adv-heading12239_f2e0f2-5a\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading12239_f2e0f2-5a img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading12239_f2e0f2-5a[data-kb-block=\"kb-adv-heading12239_f2e0f2-5a\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<h3 class=\"kt-adv-heading12239_f2e0f2-5a wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading12239_f2e0f2-5a\">Conclusion<\/h3>\n\n\n\n<p>There are <a href=\"https:\/\/gisgeography.com\/remote-sensing-applications\/\">hundreds of remote sensing uses and applications<\/a> that are being tied into the world we live in. <\/p>\n\n\n\n<p>For example, we best understand weather, navigation, gravity, climate change, and the magnetosphere from space.<\/p>\n\n\n\n<p>As we launch each meticulously planned space mission, we can cover that much more ground.<\/p>\n\n\n\n<p>What Earth observation satellite did we miss?<\/p>\n\n\n\n<p>Let us know with a comment below.<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group\" style=\"padding-top:var(--wp--preset--spacing--30);padding-bottom:var(--wp--preset--spacing--30)\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\"><style>.wp-block-kadence-advancedheading.kt-adv-heading12239_c5dff9-d0, .wp-block-kadence-advancedheading.kt-adv-heading12239_c5dff9-d0[data-kb-block=\"kb-adv-heading12239_c5dff9-d0\"]{padding-top:var(--global-kb-spacing-lg, 3rem);font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading12239_c5dff9-d0 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading12239_c5dff9-d0[data-kb-block=\"kb-adv-heading12239_c5dff9-d0\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading12239_c5dff9-d0 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading12239_c5dff9-d0[data-kb-block=\"kb-adv-heading12239_c5dff9-d0\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<h3 class=\"kt-adv-heading12239_c5dff9-d0 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading12239_c5dff9-d0\">Additional Resources<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/pubs.usgs.gov\/circ\/1455\/cir1455.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">USGS Publication: Commercial Satellite Imagery Evaluation (PDF)<\/a><\/li>\n<\/ul>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>A list of the 50 most iconic satellites put up into space to monitor our planet. We show the uses and types of satellites like weather and GPS satellites.<\/p>\n","protected":false},"author":2,"featured_media":96627,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","_kad_post_transparent":"default","_kad_post_title":"default","_kad_post_layout":"default","_kad_post_sidebar_id":"","_kad_post_content_style":"default","_kad_post_vertical_padding":"default","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":"","footnotes":""},"categories":[92],"tags":[147],"class_list":["post-12239","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-remote-sensing","tag-satellites"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>The 50 Most Influential Satellites in Remote Sensing - GIS Geography<\/title>\n<meta name=\"description\" content=\"A list of the 50 most iconic satellites put up into space to monitor our planet. 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