{"id":16951,"date":"2018-04-15T20:01:32","date_gmt":"2018-04-16T01:01:32","guid":{"rendered":"http:\/\/gisgeography.com\/?p=16951"},"modified":"2025-03-31T05:55:40","modified_gmt":"2025-03-31T10:55:40","slug":"maxar-satellite-imagery","status":"publish","type":"post","link":"https:\/\/gisgeography.com\/maxar-satellite-imagery\/","title":{"rendered":"Maxar Satellite Imagery: Worldview, GeoEye and IKONOS"},"content":{"rendered":"<div class=\"wp-block-image\">\n<figure class=\"aligncenter\"><img loading=\"lazy\" decoding=\"async\" width=\"678\" height=\"322\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/digitalglobe-satellite-imagery-678x322.png\" alt=\"DigitalGlobe satellite imagery\" class=\"wp-image-18449\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/digitalglobe-satellite-imagery-678x322.png 678w, https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/digitalglobe-satellite-imagery-326x155.png 326w\" sizes=\"auto, (max-width: 678px) 100vw, 678px\" \/><\/figure>\n<\/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\">\n<h2 class=\"wp-block-heading\">Maxar Satellite Imagery<\/h2>\n\n\n\n<p>If you want the sharpest satellite imagery in the world, then you should harness the power of <a href=\"https:\/\/www.maxar.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">Maxar satellite imagery<\/a>.<\/p>\n\n\n\n<p>To give you a ballpark figure:<\/p>\n\n\n\n<p>Each pixel in a Worldview-3 image is about the <strong>size of the home plate<\/strong> on a baseball diamond. That&#8217;s about 31 cm.<\/p>\n\n\n\n<p>So instead of being far-sighted, you can see a better and clearer world with some of Maxar&#8217;s products.<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group\" style=\"padding-top:var(--wp--preset--spacing--40);padding-bottom:var(--wp--preset--spacing--40)\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<h3 class=\"wp-block-heading\">Worldview Satellite<\/h3>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"alignright\"><img loading=\"lazy\" decoding=\"async\" width=\"218\" height=\"300\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2016\/09\/Worldview3-218x300.png\" alt=\"Worldview satellite\" class=\"wp-image-12266\" 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\" \/><\/figure>\n<\/div>\n\n\n<p>Maxar\u2019s cutting-edge high-resolution satellite carves out ridiculously crisp imagery at 31 cm. In 8 spectral bands, the world all of a sudden becomes clearer.<\/p>\n\n\n\n<p>So how good is Maxar imagery?<\/p>\n\n\n\n<p>There are a couple of ways to find out:<\/p>\n\n\n\n<p>Tap into <a href=\"https:\/\/www.maxar.com\/open-data\" target=\"_blank\" rel=\"noreferrer noopener\">Maxar&#8217;s Open Data Program<\/a> supports disaster recovery for any sudden major crisis or event. For example, Maxar has assisted in fighting forest fires, assessing earthquake damage, and hurricane relief. As part of Maxar&#8217;s Open Data Program, they release imagery into the public domain under a <strong>Creative Commons 4.0 license<\/strong> which may include crowdsourced damage assessment.<\/p>\n\n\n\n<p>Further to this, Maxar has product samples available for different parts of the Earth. For example, sample imagery products are more available for Rio de Janeiro (Brazil), Stockholm (Sweden), and Washington DC (USA).<\/p>\n\n\n\n<p>If you are just looking to purchase Worldview imagery scenes, the Worldview Viewer application gives you the option to preview and <strong>find images in the archive<\/strong>. Maxar also provides base maps, analytical services, precision aerial, maps API, and various other products and services.<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group\" style=\"padding-top:var(--wp--preset--spacing--40);padding-bottom:var(--wp--preset--spacing--40)\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<h3 class=\"wp-block-heading\">IKONOS, Quickbird, and GeoEye Imagery<\/h3>\n\n\n\n<p>A satellite marvel in 1999, IKONOS was the first satellite granted a commercial license in America. However, IKONOS-1 never made it to space. IKONOS-2 did and was renamed simply \u201cIKONOS\u201d. <a href=\"https:\/\/gisgeography.com\/ikonos-satellite\/\">IKONOS<\/a> delivers 4-meter multispectral (RGB, NIR) and 1-meter panchromatic imagery.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"alignright size-large is-resized\"><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\" style=\"width:400px\" 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<\/div>\n\n\n<p>The versatile and cost-effective <strong>QuickBird satellite<\/strong> acquires high-resolution optical imagery seamlessly from the world. Even though it was decommissioned in 2015, you can dig into its archive images at a cost. While panchromatic images are 61 cm resolution, their multispectral bands (RGB, NIR) are 2.4 meter<\/p>\n\n\n\n<p>Finally, Maxar acquired <strong>GeoEye<\/strong> which is so sharp that ecologists have used it to track the animal population.  Google had its logo on the side of the rocket and has exclusive access, so there\u2019s no coincidence it is a base map imagery in Google Maps. GeoEye imagery is 41 cm for panchromatic and 1.65 meters for multispectral (RGB, NIR).<\/p>\n\n\n\n<p><strong>READ MORE:<\/strong> <a href=\"https:\/\/gisgeography.com\/earth-satellite-list\/\">The Big List of 50 Satellites<\/a><\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group\" style=\"padding-top:var(--wp--preset--spacing--40);padding-bottom:var(--wp--preset--spacing--40)\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<h3 class=\"wp-block-heading\">GeoEye Bands<\/h3>\n\n\n\n<p>GeoEye consists of 5 spectral bands (panchromatic, blue, green, red, and near-infrared).  While the panchromatic band has 0.41 meters resolution, the blue, green, red, and NIR bands are 1.65 meters.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><a href=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/Geoeye-Bands.png\"><img loading=\"lazy\" decoding=\"async\" width=\"678\" height=\"181\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/Geoeye-Bands-678x181.png\" alt=\"Geoeye Bands\" class=\"wp-image-20199\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/Geoeye-Bands-678x181.png 678w, https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/Geoeye-Bands-300x80.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/Geoeye-Bands-50x13.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/Geoeye-Bands-200x53.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/Geoeye-Bands-425x114.png 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/Geoeye-Bands-550x147.png 550w, https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/Geoeye-Bands-115x31.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/Geoeye-Bands.png 745w\" sizes=\"auto, (max-width: 678px) 100vw, 678px\" \/><\/a><\/figure>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group\" style=\"padding-top:var(--wp--preset--spacing--40);padding-bottom:var(--wp--preset--spacing--40)\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<h3 class=\"wp-block-heading\">Worldview-2 Bands<\/h3>\n\n\n\n<p>Worldview-2 is equipped with nine spectral bands. The coastal aerosol, blue, green, yellow, red, red-edge, and near-infrared (NIR) bands have a ground resolution of 1.85 meters. In contrast, the panchromatic band provides a finer ground resolution of 0.450 meters.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><a href=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/Worldview-2-Bands-GSD.png\"><img loading=\"lazy\" decoding=\"async\" width=\"678\" height=\"264\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/Worldview-2-Bands-GSD-678x264.png\" alt=\"Worldview-2 Bands\" class=\"wp-image-20193\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/Worldview-2-Bands-GSD-678x264.png 678w, https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/Worldview-2-Bands-GSD-300x117.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/Worldview-2-Bands-GSD-50x19.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/Worldview-2-Bands-GSD-200x78.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/Worldview-2-Bands-GSD-425x166.png 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/Worldview-2-Bands-GSD-550x214.png 550w, https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/Worldview-2-Bands-GSD-115x45.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/Worldview-2-Bands-GSD.png 744w\" sizes=\"auto, (max-width: 678px) 100vw, 678px\" \/><\/a><\/figure>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group\" style=\"padding-top:var(--wp--preset--spacing--40);padding-bottom:var(--wp--preset--spacing--40)\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<h3 class=\"wp-block-heading\">Worldview-3 Bands<\/h3>\n\n\n\n<p>Worldview-3 features a range of spectral bands including panchromatic, coastal aerosol, blue, green, yellow, red, red edge, near-infrared (NIR), and short-wave infrared (SWIR). The panchromatic band achieves a more precise resolution at 31 cm. The visible and near-infrared (VNIR) bands have a GSD of 1.2 meters, and the short-wave infrared (SWIR) band maintains a GSD of 3.7 meters.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><a href=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/Worldview-3-Bands.png\"><img loading=\"lazy\" decoding=\"async\" width=\"678\" height=\"445\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/Worldview-3-Bands-678x445.png\" alt=\"Worldview-3 Bands\" class=\"wp-image-20192\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/Worldview-3-Bands-678x445.png 678w, https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/Worldview-3-Bands-300x197.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/Worldview-3-Bands-50x33.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/Worldview-3-Bands-200x131.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/Worldview-3-Bands-425x279.png 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/Worldview-3-Bands-550x361.png 550w, https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/Worldview-3-Bands-115x75.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/Worldview-3-Bands.png 744w\" sizes=\"auto, (max-width: 678px) 100vw, 678px\" \/><\/a><\/figure>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group\" style=\"padding-top:var(--wp--preset--spacing--40);padding-bottom:var(--wp--preset--spacing--40)\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<h3 class=\"wp-block-heading\">Worldview Satellite Timeline<\/h3>\n\n\n\n<p>From its different owners to the various launch dates, here is the timeline of the Worldview satellites.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>2001:<\/strong> Formation of DigitalGlobe, Inc.<\/li>\n\n\n\n<li><strong>2007:<\/strong> Worldview-1 was launched with only 50cm resolution panchromatic images.<\/li>\n\n\n\n<li><strong>2009:<\/strong> WorldView-2 launched, providing high-resolution imagery and an expanded range of spectral bands.<\/li>\n\n\n\n<li><strong>2014:<\/strong> WorldView-3 launched, equipped with a multi-spectral sensor.<\/li>\n\n\n\n<li><strong>2016:<\/strong> Launch of WorldView-4, designed to provide 31 cm resolution in panchromatic mode and 1.23 m in multispectral mode.<\/li>\n\n\n\n<li><strong>2017<\/strong>: MDA acquired DigitalGlobe, which also operates Radarsat-2 for <a href=\"http:\/\/gisgeography.com\/synthetic-aperture-radar-examples\/\">synthetic aperture radar<\/a> imagery.<\/li>\n\n\n\n<li><strong>2017:<\/strong> MDA rebranded itself into &#8220;Maxar Technologies&#8221;.<\/li>\n\n\n\n<li><strong>2019:<\/strong> Due to a gyroscope failure, WorldView-4 was retired.<\/li>\n\n\n\n<li><strong>2024:<\/strong> The launch of WorldView Legion.<\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group\" style=\"padding-top:var(--wp--preset--spacing--40);padding-bottom:var(--wp--preset--spacing--40)\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<h3 class=\"wp-block-heading\">Worldview Legion<\/h3>\n\n\n\n<p>The next step for Maxar will be WorldView Legion. This group of advanced satellites is set to increase its revisit time with this level of quality.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Up to 15 revisits per day<\/li>\n\n\n\n<li>30 cm-class resolution<\/li>\n\n\n\n<li>8-band VNIR multispectral imagery<\/li>\n\n\n\n<li>5 million sq km daily collection capacity<\/li>\n<\/ul>\n\n\n\n<p>This fleet of six satellites will be able to collect over 5 million square kilometers of imagery per day. It&#8217;s set to have a 10-year lifespan in sun-synchronous and mid-inclination orbits. <\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group\" style=\"padding-top:var(--wp--preset--spacing--50);padding-bottom:var(--wp--preset--spacing--50)\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\"><style>.wp-block-kadence-advancedheading.kt-adv-heading16951_4f4c8c-98, .wp-block-kadence-advancedheading.kt-adv-heading16951_4f4c8c-98[data-kb-block=\"kb-adv-heading16951_4f4c8c-98\"]{font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading16951_4f4c8c-98 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading16951_4f4c8c-98[data-kb-block=\"kb-adv-heading16951_4f4c8c-98\"] 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-heading16951_4f4c8c-98 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading16951_4f4c8c-98[data-kb-block=\"kb-adv-heading16951_4f4c8c-98\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<h2 class=\"kt-adv-heading16951_4f4c8c-98 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading16951_4f4c8c-98\">Changelog<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>2024\/03\/31<\/strong> &#8211; Added WorldView Legion<\/li>\n<\/ul>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>If you want the sharpest satellite imagery in the world, harness the power of DigitalGlobe imagery. Each pixel in a Worldview-3 image is about 31 cm.<\/p>\n","protected":false},"author":2,"featured_media":18449,"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-16951","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>Maxar Satellite Imagery: Worldview, GeoEye and IKONOS - GIS Geography<\/title>\n<meta name=\"description\" content=\"If you want the sharpest satellite imagery in the world, harness the power of Maxar imagery. Each pixel in a Worldview-3 image is about 31 cm\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/gisgeography.com\/maxar-satellite-imagery\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Maxar Satellite Imagery: Worldview, GeoEye and IKONOS - GIS Geography\" \/>\n<meta property=\"og:description\" content=\"If you want the sharpest satellite imagery in the world, harness the power of Maxar imagery. Each pixel in a Worldview-3 image is about 31 cm\" \/>\n<meta property=\"og:url\" content=\"https:\/\/gisgeography.com\/maxar-satellite-imagery\/\" \/>\n<meta property=\"og:site_name\" content=\"GIS Geography\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/gisgeography\" \/>\n<meta property=\"article:author\" content=\"https:\/\/www.facebook.com\/gisgeography\" \/>\n<meta property=\"article:published_time\" content=\"2018-04-16T01:01:32+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-03-31T10:55:40+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/digitalglobe-satellite-imagery.png\" \/>\n\t<meta property=\"og:image:width\" content=\"678\" \/>\n\t<meta property=\"og:image:height\" content=\"379\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"GISGeography\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@https:\/\/twitter.com\/GisGeography\" \/>\n<meta name=\"twitter:site\" content=\"@GisGeography\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"GISGeography\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/gisgeography.com\\\/maxar-satellite-imagery\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/gisgeography.com\\\/maxar-satellite-imagery\\\/\"},\"author\":{\"name\":\"GISGeography\",\"@id\":\"https:\\\/\\\/gisgeography.com\\\/#\\\/schema\\\/person\\\/9e7385da3acea92bc45d45be5dfe191e\"},\"headline\":\"Maxar Satellite Imagery: Worldview, GeoEye and IKONOS\",\"datePublished\":\"2018-04-16T01:01:32+00:00\",\"dateModified\":\"2025-03-31T10:55:40+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/gisgeography.com\\\/maxar-satellite-imagery\\\/\"},\"wordCount\":703,\"commentCount\":5,\"publisher\":{\"@id\":\"https:\\\/\\\/gisgeography.com\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/gisgeography.com\\\/maxar-satellite-imagery\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/gisgeography.com\\\/wp-content\\\/uploads\\\/2018\\\/04\\\/digitalglobe-satellite-imagery.png\",\"keywords\":[\"Satellites\"],\"articleSection\":[\"Remote Sensing\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/gisgeography.com\\\/maxar-satellite-imagery\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/gisgeography.com\\\/maxar-satellite-imagery\\\/\",\"url\":\"https:\\\/\\\/gisgeography.com\\\/maxar-satellite-imagery\\\/\",\"name\":\"Maxar Satellite Imagery: Worldview, GeoEye and IKONOS - GIS Geography\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/gisgeography.com\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/gisgeography.com\\\/maxar-satellite-imagery\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/gisgeography.com\\\/maxar-satellite-imagery\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/gisgeography.com\\\/wp-content\\\/uploads\\\/2018\\\/04\\\/digitalglobe-satellite-imagery.png\",\"datePublished\":\"2018-04-16T01:01:32+00:00\",\"dateModified\":\"2025-03-31T10:55:40+00:00\",\"description\":\"If you want the sharpest satellite imagery in the world, harness the power of Maxar imagery. Each pixel in a Worldview-3 image is about 31 cm\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/gisgeography.com\\\/maxar-satellite-imagery\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/gisgeography.com\\\/maxar-satellite-imagery\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/gisgeography.com\\\/maxar-satellite-imagery\\\/#primaryimage\",\"url\":\"https:\\\/\\\/gisgeography.com\\\/wp-content\\\/uploads\\\/2018\\\/04\\\/digitalglobe-satellite-imagery.png\",\"contentUrl\":\"https:\\\/\\\/gisgeography.com\\\/wp-content\\\/uploads\\\/2018\\\/04\\\/digitalglobe-satellite-imagery.png\",\"width\":678,\"height\":379,\"caption\":\"DigitalGlobe satellite imagery\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/gisgeography.com\\\/maxar-satellite-imagery\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/gisgeography.com\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Remote Sensing\",\"item\":\"https:\\\/\\\/gisgeography.com\\\/category\\\/remote-sensing\\\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Maxar Satellite Imagery: Worldview, GeoEye and IKONOS\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/gisgeography.com\\\/#website\",\"url\":\"https:\\\/\\\/gisgeography.com\\\/\",\"name\":\"GIS Geography\",\"description\":\"Geographic Information Systems\",\"publisher\":{\"@id\":\"https:\\\/\\\/gisgeography.com\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/gisgeography.com\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/gisgeography.com\\\/#organization\",\"name\":\"GIS Geography\",\"url\":\"https:\\\/\\\/gisgeography.com\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/gisgeography.com\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/gisgeography.com\\\/wp-content\\\/uploads\\\/2015\\\/11\\\/cropped-GIS-Geography-Logo0.png\",\"contentUrl\":\"https:\\\/\\\/gisgeography.com\\\/wp-content\\\/uploads\\\/2015\\\/11\\\/cropped-GIS-Geography-Logo0.png\",\"width\":500,\"height\":100,\"caption\":\"GIS Geography\"},\"image\":{\"@id\":\"https:\\\/\\\/gisgeography.com\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/www.facebook.com\\\/gisgeography\",\"https:\\\/\\\/x.com\\\/GisGeography\"]},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/gisgeography.com\\\/#\\\/schema\\\/person\\\/9e7385da3acea92bc45d45be5dfe191e\",\"name\":\"GISGeography\",\"description\":\"We help you learn Geographic Information Systems and remote sensing\",\"sameAs\":[\"https:\\\/\\\/www.facebook.com\\\/gisgeography\",\"https:\\\/\\\/x.com\\\/https:\\\/\\\/twitter.com\\\/GisGeography\"],\"url\":\"https:\\\/\\\/gisgeography.com\\\/author\\\/gisgeo\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Maxar Satellite Imagery: Worldview, GeoEye and IKONOS - GIS Geography","description":"If you want the sharpest satellite imagery in the world, harness the power of Maxar imagery. Each pixel in a Worldview-3 image is about 31 cm","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/gisgeography.com\/maxar-satellite-imagery\/","og_locale":"en_US","og_type":"article","og_title":"Maxar Satellite Imagery: Worldview, GeoEye and IKONOS - GIS Geography","og_description":"If you want the sharpest satellite imagery in the world, harness the power of Maxar imagery. Each pixel in a Worldview-3 image is about 31 cm","og_url":"https:\/\/gisgeography.com\/maxar-satellite-imagery\/","og_site_name":"GIS Geography","article_publisher":"https:\/\/www.facebook.com\/gisgeography","article_author":"https:\/\/www.facebook.com\/gisgeography","article_published_time":"2018-04-16T01:01:32+00:00","article_modified_time":"2025-03-31T10:55:40+00:00","og_image":[{"width":678,"height":379,"url":"https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/digitalglobe-satellite-imagery.png","type":"image\/png"}],"author":"GISGeography","twitter_card":"summary_large_image","twitter_creator":"@https:\/\/twitter.com\/GisGeography","twitter_site":"@GisGeography","twitter_misc":{"Written by":"GISGeography","Est. reading time":"5 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/gisgeography.com\/maxar-satellite-imagery\/#article","isPartOf":{"@id":"https:\/\/gisgeography.com\/maxar-satellite-imagery\/"},"author":{"name":"GISGeography","@id":"https:\/\/gisgeography.com\/#\/schema\/person\/9e7385da3acea92bc45d45be5dfe191e"},"headline":"Maxar Satellite Imagery: Worldview, GeoEye and IKONOS","datePublished":"2018-04-16T01:01:32+00:00","dateModified":"2025-03-31T10:55:40+00:00","mainEntityOfPage":{"@id":"https:\/\/gisgeography.com\/maxar-satellite-imagery\/"},"wordCount":703,"commentCount":5,"publisher":{"@id":"https:\/\/gisgeography.com\/#organization"},"image":{"@id":"https:\/\/gisgeography.com\/maxar-satellite-imagery\/#primaryimage"},"thumbnailUrl":"https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/digitalglobe-satellite-imagery.png","keywords":["Satellites"],"articleSection":["Remote Sensing"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/gisgeography.com\/maxar-satellite-imagery\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/gisgeography.com\/maxar-satellite-imagery\/","url":"https:\/\/gisgeography.com\/maxar-satellite-imagery\/","name":"Maxar Satellite Imagery: Worldview, GeoEye and IKONOS - GIS Geography","isPartOf":{"@id":"https:\/\/gisgeography.com\/#website"},"primaryImageOfPage":{"@id":"https:\/\/gisgeography.com\/maxar-satellite-imagery\/#primaryimage"},"image":{"@id":"https:\/\/gisgeography.com\/maxar-satellite-imagery\/#primaryimage"},"thumbnailUrl":"https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/digitalglobe-satellite-imagery.png","datePublished":"2018-04-16T01:01:32+00:00","dateModified":"2025-03-31T10:55:40+00:00","description":"If you want the sharpest satellite imagery in the world, harness the power of Maxar imagery. Each pixel in a Worldview-3 image is about 31 cm","breadcrumb":{"@id":"https:\/\/gisgeography.com\/maxar-satellite-imagery\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/gisgeography.com\/maxar-satellite-imagery\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/gisgeography.com\/maxar-satellite-imagery\/#primaryimage","url":"https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/digitalglobe-satellite-imagery.png","contentUrl":"https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/digitalglobe-satellite-imagery.png","width":678,"height":379,"caption":"DigitalGlobe satellite imagery"},{"@type":"BreadcrumbList","@id":"https:\/\/gisgeography.com\/maxar-satellite-imagery\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/gisgeography.com\/"},{"@type":"ListItem","position":2,"name":"Remote Sensing","item":"https:\/\/gisgeography.com\/category\/remote-sensing\/"},{"@type":"ListItem","position":3,"name":"Maxar Satellite Imagery: Worldview, GeoEye and IKONOS"}]},{"@type":"WebSite","@id":"https:\/\/gisgeography.com\/#website","url":"https:\/\/gisgeography.com\/","name":"GIS Geography","description":"Geographic Information Systems","publisher":{"@id":"https:\/\/gisgeography.com\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/gisgeography.com\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/gisgeography.com\/#organization","name":"GIS Geography","url":"https:\/\/gisgeography.com\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/gisgeography.com\/#\/schema\/logo\/image\/","url":"https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/11\/cropped-GIS-Geography-Logo0.png","contentUrl":"https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/11\/cropped-GIS-Geography-Logo0.png","width":500,"height":100,"caption":"GIS Geography"},"image":{"@id":"https:\/\/gisgeography.com\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/gisgeography","https:\/\/x.com\/GisGeography"]},{"@type":"Person","@id":"https:\/\/gisgeography.com\/#\/schema\/person\/9e7385da3acea92bc45d45be5dfe191e","name":"GISGeography","description":"We help you learn Geographic Information Systems and remote sensing","sameAs":["https:\/\/www.facebook.com\/gisgeography","https:\/\/x.com\/https:\/\/twitter.com\/GisGeography"],"url":"https:\/\/gisgeography.com\/author\/gisgeo\/"}]}},"taxonomy_info":{"category":[{"value":92,"label":"Remote Sensing"}],"post_tag":[{"value":147,"label":"Satellites"}]},"featured_image_src_large":["https:\/\/gisgeography.com\/wp-content\/uploads\/2018\/04\/digitalglobe-satellite-imagery-678x379.png",678,379,true],"author_info":{"display_name":"GISGeography","author_link":"https:\/\/gisgeography.com\/author\/gisgeo\/"},"comment_info":33,"category_info":[{"term_id":92,"name":"Remote Sensing","slug":"remote-sensing","term_group":0,"term_taxonomy_id":93,"taxonomy":"category","description":"","parent":0,"count":62,"filter":"raw","cat_ID":92,"category_count":62,"category_description":"","cat_name":"Remote Sensing","category_nicename":"remote-sensing","category_parent":0}],"tag_info":[{"term_id":147,"name":"Satellites","slug":"satellites","term_group":0,"term_taxonomy_id":153,"taxonomy":"post_tag","description":"","parent":0,"count":17,"filter":"raw"}],"_links":{"self":[{"href":"https:\/\/gisgeography.com\/wp-json\/wp\/v2\/posts\/16951","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/gisgeography.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/gisgeography.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/gisgeography.com\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/gisgeography.com\/wp-json\/wp\/v2\/comments?post=16951"}],"version-history":[{"count":16,"href":"https:\/\/gisgeography.com\/wp-json\/wp\/v2\/posts\/16951\/revisions"}],"predecessor-version":[{"id":96594,"href":"https:\/\/gisgeography.com\/wp-json\/wp\/v2\/posts\/16951\/revisions\/96594"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/gisgeography.com\/wp-json\/wp\/v2\/media\/18449"}],"wp:attachment":[{"href":"https:\/\/gisgeography.com\/wp-json\/wp\/v2\/media?parent=16951"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/gisgeography.com\/wp-json\/wp\/v2\/categories?post=16951"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/gisgeography.com\/wp-json\/wp\/v2\/tags?post=16951"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}