{"id":8516,"date":"2015-12-14T04:26:05","date_gmt":"2015-12-14T10:26:05","guid":{"rendered":"http:\/\/gisgeography.com\/?p=8516"},"modified":"2025-06-01T06:44:35","modified_gmt":"2025-06-01T11:44:35","slug":"arcgis-composite-bands","status":"publish","type":"post","link":"https:\/\/gisgeography.com\/arcgis-composite-bands\/","title":{"rendered":"Composite Bands: Black and White to Color Imagery"},"content":{"rendered":"\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"990\" height=\"516\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Composite-Bands-Feature.jpg\" alt=\"Composite Bands Feature\" class=\"wp-image-96358\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Composite-Bands-Feature.jpg 990w, https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Composite-Bands-Feature-300x156.jpg 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Composite-Bands-Feature-678x353.jpg 678w, https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Composite-Bands-Feature-768x400.jpg 768w\" sizes=\"auto, (max-width: 990px) 100vw, 990px\" \/><\/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<h2 class=\"wp-block-heading\">The Composite Bands Tools<\/h2>\n\n\n\n<p>When you have single-band rasters and you add them to your display, the default is that they will be displayed as black and white images.<\/p>\n\n\n\n<p>This is because for <a href=\"https:\/\/gisgeography.com\/multispectral-vs-hyperspectral-imagery-explained\/\" target=\"_blank\" rel=\"noopener noreferrer\">multispectral images<\/a>, bands are collected individually. Every single band is its own image in a particular wavelength.<\/p>\n\n\n\n<p>If you want to display them in true color, you will have to <strong>combine the red, green, and blue bands<\/strong>. The ArcGIS Composite Bands tool combines spectral bands from single band rasters.<\/p>\n\n\n\n<p>This tutorial gives you step-by-step instructions on how to go from single-band rasters into a multi-band RGB composite using the ArcGIS Composite Bands tool. Let\u2019s do this:<\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\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<h2 class=\"wp-block-heading\">Sentinel 2A Multispectral Data in ArcGIS<\/h2>\n\n\n\n<p>For this tutorial, we have already downloaded Sentinel satellite data for Tokyo, Japan.<\/p>\n\n\n\n<p>Whether you\u2019re using <a href=\"http:\/\/gisgeography.com\/landsat-program-satellite-imagery-bands\/\" target=\"_blank\" rel=\"noopener noreferrer\">Landsat<\/a>, <a href=\"http:\/\/gisgeography.com\/spot-satellite-pour-observation-terre\/\" target=\"_blank\" rel=\"noopener noreferrer\">SPOT<\/a>, or other satellite data sources, you will have to find your band designations.<\/p>\n\n\n\n<p>Here are the RGB bands for Sentinel 2A data:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><thead><tr><th class=\"has-text-align-center\" data-align=\"center\">Band<\/th><th class=\"has-text-align-center\" data-align=\"center\">Spectrum Color<\/th><th class=\"has-text-align-center\" data-align=\"center\">Wavelength<\/th><\/tr><\/thead><tbody><tr><td class=\"has-text-align-center\" data-align=\"center\">Band 2<\/td><td class=\"has-text-align-center\" data-align=\"center\">Blue<\/td><td class=\"has-text-align-center\" data-align=\"center\">490 nm<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Band 3<\/td><td class=\"has-text-align-center\" data-align=\"center\">Green<\/td><td class=\"has-text-align-center\" data-align=\"center\">560 nm<\/td><\/tr><tr><td class=\"has-text-align-center\" data-align=\"center\">Band 4<\/td><td class=\"has-text-align-center\" data-align=\"center\">Red<\/td><td class=\"has-text-align-center\" data-align=\"center\">665 nm<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>Each band is a separate image file with a resolution of 10 meters. Add each image (band) to ArcMap.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"678\" height=\"401\" src=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Composite-Bands-Diagram-678x401.jpg\" alt=\"Composite Bands Diagram\" class=\"wp-image-96356\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Composite-Bands-Diagram-678x401.jpg 678w, https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Composite-Bands-Diagram-300x177.jpg 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Composite-Bands-Diagram-768x454.jpg 768w, https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Composite-Bands-Diagram.jpg 1000w\" sizes=\"auto, (max-width: 678px) 100vw, 678px\" \/><\/figure>\n<\/div>\n\n\n<p>As shown in the image above, these three bands will be combined from single images into a multi-band raster.<\/p>\n\n\n\n<p><strong>READ MORE<\/strong>: <a href=\"http:\/\/gisgeography.com\/how-to-download-sentinel-satellite-data\" target=\"_blank\" rel=\"noopener noreferrer\">How To Download Sentinel 2 Satellite Imagery<\/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\">1. Composite Bands Tool Method in ArcGIS<\/h3>\n\n\n\n<p>Add each single Sentinel image to ArcMap. Each image has the .jp2 extension which is the JPEG 2000 file type. In the case of Sentinel data, the blue, green, and red bands will have the suffix _B02, _B03, and _B04.<\/p>\n\n\n\n<p>If you get the error message <strong>&#8220;Invalid raster dataset. Failed to create raster layer&#8221;<\/strong>, you can<strong> drag and drop each image from Windows Explorer to ArcMap<\/strong>. This is a known issue in ArcMap.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter\"><img loading=\"lazy\" decoding=\"async\" width=\"364\" height=\"161\" src=\"http:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Invalid-raster-dataset.png\" alt=\"Invalid raster dataset\" class=\"wp-image-8518\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Invalid-raster-dataset.png 364w, https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Invalid-raster-dataset-300x133.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Invalid-raster-dataset-50x22.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Invalid-raster-dataset-80x35.png 80w, https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Invalid-raster-dataset-200x88.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Invalid-raster-dataset-115x51.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Invalid-raster-dataset-350x155.png 350w\" sizes=\"auto, (max-width: 364px) 100vw, 364px\" \/><\/figure>\n<\/div>\n\n\n<p>In ArcToolbox, select <strong>Data Management &gt; Raster &gt; Raster Processing &gt; Composite Bands<\/strong>. Double-click the <strong>Composite Bands Tool<\/strong>.<\/p>\n\n\n\n<p>First, add band 4 (red). Next, add band 3 (green). Finally, add band 2 (blue). You can always rearrange the order of the bands by selecting the up and down arrows. Ensure the order of the bands are red, green, and blue for an RGB composite.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter\"><img loading=\"lazy\" decoding=\"async\" width=\"510\" height=\"370\" src=\"http:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Composite-Bands.png\" alt=\"Composite Bands Tool ArcGIS\" class=\"wp-image-8522\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Composite-Bands.png 510w, https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Composite-Bands-300x218.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Composite-Bands-50x36.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Composite-Bands-200x145.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Composite-Bands-425x308.png 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Composite-Bands-115x83.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Composite-Bands-214x155.png 214w, https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Composite-Bands-500x363.png 500w\" sizes=\"auto, (max-width: 510px) 100vw, 510px\" \/><\/figure>\n<\/div>\n\n\n<p>Type an output name and click OK.<\/p>\n\n\n\n<p>After running the tool, the RGB composite will be automatically added to the table of contents in ArcMap.<\/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\">2. Image Analysis Toolbar Method in ArcGIS<\/h3>\n\n\n\n<p>The Image Analysis toolbar was a new add-on that ArcGIS added in version 10. You can pansharpen, <a href=\"https:\/\/gisgeography.com\/how-to-ndvi-maps-arcgis\/\" target=\"_blank\" rel=\"noopener noreferrer\">perform NDVI<\/a>, <a href=\"http:\/\/gisgeography.com\/clip-rasters-arcgis-polygon-boundary\/\" target=\"_blank\" rel=\"noopener noreferrer\">clip rasters<\/a> and even change the display properties of rasters.<\/p>\n\n\n\n<p>The neat thing about using the ArcGIS composite bands in the Image Analysis toolbar is that <strong>you can preview how it looks<\/strong> before you create a multiband raster.<\/p>\n\n\n\n<p>Again, add your Sentinel satellite images. The blue, green, and red bands will have the suffix _B02, _B03, and _B04. These single band images will appear in ArcMap&#8217;s table of contents.<\/p>\n\n\n\n<p>In the table of contents, you have to order your layers. The red layer should be at the top, followed by green and blue.<\/p>\n\n\n\n<p>Enable the Image Analysis Toolbar by selecting <strong>Windows &gt; Image Analysis<\/strong>.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter\"><img loading=\"lazy\" decoding=\"async\" width=\"166\" height=\"186\" src=\"http:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Image-Analysis-Toolbar.png\" alt=\"Image Analysis Toolbar\" class=\"wp-image-8519\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Image-Analysis-Toolbar.png 166w, https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Image-Analysis-Toolbar-45x50.png 45w, https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Image-Analysis-Toolbar-115x129.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Image-Analysis-Toolbar-138x155.png 138w\" sizes=\"auto, (max-width: 166px) 100vw, 166px\" \/><\/figure>\n<\/div>\n\n\n<p>In the Image Analysis Toolbar, hold down the shift button and select the red, green, and blue bands from the Sentinel satellite data. Click the <strong>Composite Bands Tool<\/strong> as shown in the image below.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter\"><img loading=\"lazy\" decoding=\"async\" width=\"456\" height=\"292\" src=\"http:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Composite-Bands-Image-Analysis-Toolbar.png\" alt=\"Composite Bands Image Analysis Toolbar\" class=\"wp-image-8520\" srcset=\"https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Composite-Bands-Image-Analysis-Toolbar.png 456w, https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Composite-Bands-Image-Analysis-Toolbar-300x192.png 300w, https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Composite-Bands-Image-Analysis-Toolbar-50x32.png 50w, https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Composite-Bands-Image-Analysis-Toolbar-200x128.png 200w, https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Composite-Bands-Image-Analysis-Toolbar-425x272.png 425w, https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Composite-Bands-Image-Analysis-Toolbar-115x74.png 115w, https:\/\/gisgeography.com\/wp-content\/uploads\/2015\/12\/Composite-Bands-Image-Analysis-Toolbar-242x155.png 242w\" sizes=\"auto, (max-width: 456px) 100vw, 456px\" \/><\/figure>\n<\/div>\n\n\n<p>This will create a <strong>temporary RGB composite layer<\/strong> in the Table of Contents.<\/p>\n\n\n\n<p>In order to<strong> make it a permanent layer<\/strong>, you will have to right-click the temporary layer in the table of contents and click <strong>Data &gt; Export Data<\/strong>.<\/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<h2 class=\"wp-block-heading\">What\u2019s Next?<\/h2>\n\n\n\n<p>You\u2019ve learned how to combine single bands to create a full RGB composite. RGB composites can be used as a basemap and for a <a href=\"https:\/\/gisgeography.com\/remote-sensing-applications\/\" target=\"_blank\" rel=\"noopener noreferrer\">variety of other purposes<\/a>.<\/p>\n\n\n\n<p><strong>But you don\u2019t have to stop here.<\/strong><\/p>\n\n\n\n<p>Explore remote sensing to its fullest. With <a href=\"https:\/\/browser.dataspace.copernicus.eu\/\" target=\"_blank\" rel=\"noreferrer noopener\">Sentinel satellite data<\/a>, you can have the power to <a href=\"https:\/\/gisgeography.com\/image-classification-techniques-remote-sensing\/\" target=\"_blank\" rel=\"noopener noreferrer\">classify images<\/a> or <a href=\"https:\/\/gisgeography.com\/how-to-ndvi-maps-arcgis\/\" target=\"_blank\" rel=\"noopener noreferrer\">perform NDVI<\/a>.<\/p>\n\n\n\n<p>What\u2019s next is up to you.<\/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\">References<\/h3>\n\n\n\n<p>Image Credit: European Space Agency Sentinel 2A Satellite. Tokyo, Japan &#8211; 2015<\/p>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>If you want to display rasters in true color, you will have to combine the red, green &#038; blue bands. The ArcGIS Composite Bands tool creates RGB composites.<\/p>\n","protected":false},"author":2,"featured_media":96358,"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":[442],"class_list":["post-8516","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-remote-sensing","tag-remote-sensing-analysis"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Composite Bands: Black and White to Color Imagery - GIS Geography<\/title>\n<meta name=\"description\" content=\"If you want to display rasters in true color, you will have to combine the red, green &amp; blue bands. 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