{"id":2956115,"date":"2026-02-26T06:04:00","date_gmt":"2026-02-26T14:04:00","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=2956115"},"modified":"2026-03-06T08:18:25","modified_gmt":"2026-03-06T16:18:25","slug":"whats-new-in-imagery-in-arcgis-online-february-2026","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/imagery\/whats-new-in-imagery-in-arcgis-online-february-2026","title":{"rendered":"What&#8217;s new in imagery in ArcGIS Online (February 2026)"},"author":108651,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[22931],"tags":[781003,42641,115262,268131,780938],"industry":[],"product":[421922,36581,36551],"class_list":["post-2956115","blog","type-blog","status-publish","format-standard","hentry","category-imagery","tag-2026-r1","tag-arcgis-online","tag-imagery","tag-living-atlas","tag-whats-new-february-2026","product-arcgis","product-arcgis-living-atlas","product-arcgis-online"],"acf":{"short_description":"What is new in imagery in ArcGIS Online for the February 2026 release, including raster analysis for ArcGIS Living Atlas layers. ","flexible_content":[{"acf_fc_layout":"content","content":"<p>Imagery in ArcGIS\u00a0 Online makes it easy to host, explore, analyze, and share imagery at scale-without standing up or maintaining your own infrastructure. From simple visualization to advanced analytics and deep learning, organizations can turn imagery into actionable insights using a secure, fully managed SaaS environment. Once imagery is organized and published, teams across the organization can use it in maps, apps, and analysis workflows to support faster, more informed decisions.<\/p>\n<p>The February 2026 update builds on this foundation with enhancements that reduce friction in hyperspectral workflows, speed up analysis, and make it easier to extract meaning from complex imagery datasets.<\/p>\n<p>This includes:<\/p>\n<ul>\n<li><strong>Enhanced support for hyperspectral imagery<\/strong>\n<ul>\n<li>New item type \u2013 Esri Spectral Library (*.esl) \u2013 You can now upload and share <code>.esl<\/code> spectral library items directly in ArcGIS Online and make it accessible across the ArcGIS platform.<\/li>\n<li>New raster types when creating hosted imagery \u2013 <em>AVIRIS<\/em> and <em>EMIT<\/em> raster types are now available for building richer, sensor\u2011specific hyperspectral imagery layers.<\/li>\n<li>Two new raster functions \u2013 Use <strong>Subset Bands<\/strong> to extract interested raster bands, <strong>Label Bad Bands<\/strong> to specify bad bands that can be avoided during downstream analysis.<\/li>\n<\/ul>\n<\/li>\n<li><strong>Raster Analysis<\/strong>\n<ul>\n<li>New Living Atlas layers with optimized raster analysis \u2013 Additional Living Atlas layers are now tuned for higher\u2011performance raster analysis.<\/li>\n<li>Two new tools:\n<ul>\n<li><strong>Geomorphon Landforms Raster Tool in Map Viewer<\/strong> \u2013 Automatically analyzes each cell in a surface raster to detect its pattern and classify terrain into common landform types for faster, data\u2011driven landscape interpretation.<\/li>\n<li><strong>Summarize Categorical Raster Tool in Map Viewer<\/strong> \u2013 Quickly generate per category pixel counts directly for faster interpretation of classified imagery layers.<\/li>\n<\/ul>\n<\/li>\n<li>New environment setting: Enable Accelerated Analysis (beta)<strong> \u2013 <\/strong>An new raster analysis environment setting enables high speed adaptive processing on select deep learning tools at no additional cost.<\/li>\n<li>One new raster function:\n<ul>\n<li><strong>Mosaic Rasters By Band Indices<\/strong> \u2013 Mosaics overlapping pixels of a collection of images based on criteria defined by their band indices.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<li><strong>Other imagery enhancements<\/strong>\n<ul>\n<li style=\"list-style-type: none\">\n<ul>\n<li>Arcade support for imagery layer <strong> \u2013 <\/strong>Map Viewer now supports Arcade expressions in imagery layer pop-ups to dynamically display pixel data and image metadata.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<li><strong>Oriented imagery enhancements<\/strong>\n<ul>\n<li style=\"list-style-type: none\">\n<ul>\n<li>Improved 3D Search in Oriented Imagery showing tall structures \u2013 More precise and relevant search results when filtering and locating oriented images in 3D scenes.<\/li>\n<li>Filtering by Time enabled in Oriented Imagery Viewer\u00a0\u2013 Faster, cleaner review workflows for oriented imagery collections.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n"},{"acf_fc_layout":"image","image":{"ID":2957624,"id":2957624,"title":"Divider","filename":"Divider-scaled.png","filesize":32513,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-scaled.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/imagery\/whats-new-in-imagery-in-arcgis-online-february-2026\/divider-11","alt":"Divider","author":"108651","description":"","caption":"","name":"divider-11","status":"inherit","uploaded_to":2956115,"date":"2026-02-24 15:48:50","modified":"2026-02-24 15:49:00","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":286,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-scaled.png","medium-width":464,"medium-height":52,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-scaled.png","medium_large-width":768,"medium_large-height":86,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-scaled.png","large-width":1920,"large-height":215,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-1536x171.png","1536x1536-width":1536,"1536x1536-height":171,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-2048x228.png","2048x2048-width":2048,"2048x2048-height":228,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-826x92.png","card_image-width":826,"card_image-height":92,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-1920x214.png","wide_image-width":1920,"wide_image-height":214}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h3>Enhanced support for hyperspectral imagery<\/h3>\n<h4><strong>New item type &#8211; Esri Spectral Library (.esl) Support<\/strong><\/h4>\n<p>A new item type has been added to allow sharing and accessing Esri Spectral Library files across the ArcGIS platform. The Esri Spectral Library (.esl) \u00a0stores sensor information, material name, and lists of wavelengths and values. This is required for some hyperspectral analysis workflows.<\/p>\n<h4><strong>New raster types when creating hosted imagery<\/strong><\/h4>\n<p>Hyperspectral raster types for both AVIRIS and EMIT imagery have been added to the list of raster types and can be used to create imagery layers. These raster types include preset processing templates and metadata.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2958186,"id":2958186,"title":"HSI_screenshot","filename":"HSI_screenshot.png","filesize":2480423,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/HSI_screenshot.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/imagery\/whats-new-in-imagery-in-arcgis-online-february-2026\/hsi_screenshot","alt":"Hyperspectral imagery example","author":"108651","description":"","caption":"The geology and minerals band combination (Bands 257, 163, 65) uses the shortwave infrared (SWIR) to reveal distinct mineral \"fingerprints\" that appear as vibrant colors.","name":"hsi_screenshot","status":"inherit","uploaded_to":2956115,"date":"2026-02-25 18:32:44","modified":"2026-02-25 23:26:49","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1124,"height":850,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/HSI_screenshot-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/HSI_screenshot.png","medium-width":345,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/HSI_screenshot.png","medium_large-width":768,"medium_large-height":581,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/HSI_screenshot.png","large-width":1124,"large-height":850,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/HSI_screenshot.png","1536x1536-width":1124,"1536x1536-height":850,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/HSI_screenshot.png","2048x2048-width":1124,"2048x2048-height":850,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/HSI_screenshot-615x465.png","card_image-width":615,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/HSI_screenshot.png","wide_image-width":1124,"wide_image-height":850}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h4><strong>Two new raster functions<\/strong><\/h4>\n<p>Two new raster functions, <strong>Subset Bands<\/strong> and <strong>Label Bad Bands, <\/strong>\u00a0have been added to Map Viewer. The <strong>Subset Bands<\/strong> raster function allows the extraction of a selection of raster bands using a range or list. This function can be used to reduce the number of raster bands to streamline analysis without using losing critical information. Adjacent hyperspectral imagery bands are often correlated, so removing the redundancy to focus on the most unique and informative bands. The <strong>Label Bad Bands<\/strong> raster function allows you to specify a set of bands or a range of bands as bad, which prevents them from being used in analysis tools and other functionality.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2957624,"id":2957624,"title":"Divider","filename":"Divider-scaled.png","filesize":32513,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-scaled.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/imagery\/whats-new-in-imagery-in-arcgis-online-february-2026\/divider-11","alt":"Divider","author":"108651","description":"","caption":"","name":"divider-11","status":"inherit","uploaded_to":2956115,"date":"2026-02-24 15:48:50","modified":"2026-02-24 15:49:00","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":286,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-scaled.png","medium-width":464,"medium-height":52,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-scaled.png","medium_large-width":768,"medium_large-height":86,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-scaled.png","large-width":1920,"large-height":215,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-1536x171.png","1536x1536-width":1536,"1536x1536-height":171,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-2048x228.png","2048x2048-width":2048,"2048x2048-height":228,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-826x92.png","card_image-width":826,"card_image-height":92,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-1920x214.png","wide_image-width":1920,"wide_image-height":214}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h3>Raster analysis<\/h3>\n<h4><strong>New Living Atlas layers with optimized raster analysis<\/strong><\/h4>\n<p><a href=\"https:\/\/livingatlas.arcgis.com\/en\/browse\/#d=2&amp;categories=Multispectral+Imagery\">ArcGIS Living Atlas of the World<\/a> has included a variety of global Earth observation imagery layers. These layers have empowered users across industries to perform powerful visualization and analysis directly within ArcGIS Online without the need to download large datasets. These imagery layers now include demographic thematic imagery layers and additional land cover thematic layers.<\/p>\n<p>This optimization was introduced in a previous release on a select set of ArcGIS Living Atlas imagery layers, enabling support for significantly <strong>larger areas of analysis<\/strong>. This capability is currently available for imagery layers belonging to the\u00a0<a href=\"https:\/\/www.arcgis.com\/home\/group.html?id=55f9f38754f8438bade85c93061bd84c#overview\">Living Atlas Imagery Layers Optimized for Analysis<\/a>\u00a0group. For more information about the optimization and how to enable it, please refer to the blog,\u00a0<a href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-living-atlas\/imagery\/law-imagery-layers-for-analysis\">ArcGIS Living Atlas ready-to-use imagery layers for analysis<\/a>.<\/p>\n"},{"acf_fc_layout":"content","content":"<h4><strong>Two new tools <\/strong><\/h4>\n<h5><strong>Geomorphon Landforms Raster Tool in Map Viewer<\/strong><\/h5>\n<p><span data-teams=\"true\">The Geomorphon Landforms raster analysis tool calculates the geomorphon pattern of each cell of an input surface raster and classifies them into common landform types, such as Peak, Valley, Ridge, Pit, among others. By classifying terrain into landforms, it&#8217;s possible to find out where mountain peaks are to optimize the placement of wildfire monitoring towers or identify where valleys are to understand where rivers and streams flow.\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2957652,"id":2957652,"title":"Image (14)","filename":"Image-14.png","filesize":292699,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Image-14.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/imagery\/whats-new-in-imagery-in-arcgis-online-february-2026\/image-14-7","alt":"Geomorphon Landforms output","author":"108651","description":"","caption":"A mountainous area classified into 10 different landform types using the Geomorphon Landforms tool. Blue thick lines corresponds to a Stream polyline features. Here, the output was created using the Map Viewer tool and visualized in Scene.","name":"image-14-7","status":"inherit","uploaded_to":2956115,"date":"2026-02-24 16:24:52","modified":"2026-02-25 19:00:26","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":636,"height":306,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Image-14-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Image-14.png","medium-width":464,"medium-height":223,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Image-14.png","medium_large-width":636,"medium_large-height":306,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Image-14.png","large-width":636,"large-height":306,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Image-14.png","1536x1536-width":636,"1536x1536-height":306,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Image-14.png","2048x2048-width":636,"2048x2048-height":306,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Image-14.png","card_image-width":636,"card_image-height":306,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Image-14.png","wide_image-width":636,"wide_image-height":306}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h5><strong>Summarize Categorical Raster Tool in Map Viewer<\/strong><\/h5>\n<p>The Summarize Categorical Raster tool has been added to Map Viewer to create a table containing the pixel count for each category in each slice of a multidimensional categorical raster.<\/p>\n<h4><strong>New environment setting: Enable Accelerated Analysis (beta)<\/strong><\/h4>\n<p>A new environment setting has been added to Map Viewer that permits raster analysis to use the high-performance runtime backend, which can run large-scale raster analysis tasks more efficiently, the following tools are currently supported:<\/p>\n<ul>\n<li>Classify Pixels Using Deep Learning<\/li>\n<li>Detect Objects Using Deep Learning<\/li>\n<\/ul>\n"},{"acf_fc_layout":"image","image":{"ID":2958166,"id":2958166,"title":"image (18)","filename":"image-18.png","filesize":501895,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/image-18.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/imagery\/whats-new-in-imagery-in-arcgis-online-february-2026\/image-18-6","alt":"Enable accelerated analysis","author":"108651","description":"","caption":"","name":"image-18-6","status":"inherit","uploaded_to":2956115,"date":"2026-02-25 17:47:36","modified":"2026-02-25 17:47:49","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":740,"height":896,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/image-18-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/image-18.png","medium-width":216,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/image-18.png","medium_large-width":740,"medium_large-height":896,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/image-18.png","large-width":740,"large-height":896,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/image-18.png","1536x1536-width":740,"1536x1536-height":896,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/image-18.png","2048x2048-width":740,"2048x2048-height":896,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/image-18-384x465.png","card_image-width":384,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/image-18.png","wide_image-width":740,"wide_image-height":896}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>You can enable this setting in the tool and in the environment settings in Map Viewer.<\/p>\n<p><em>This feature is in beta. More analysis tools and raster functions will support this feature in future releases.<\/em><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2958098,"id":2958098,"title":"image (17)","filename":"image-17.png","filesize":60133,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/image-17.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/imagery\/whats-new-in-imagery-in-arcgis-online-february-2026\/image-17-5","alt":"Increased performance table for enabled accelerated analysis","author":"108651","description":"","caption":"Table 1: Performance comparison of regular and accelerated analysis for two deep learning tools. ","name":"image-17-5","status":"inherit","uploaded_to":2956115,"date":"2026-02-25 15:19:26","modified":"2026-02-26 04:46:04","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":1257,"height":496,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/image-17-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/image-17.png","medium-width":464,"medium-height":183,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/image-17.png","medium_large-width":768,"medium_large-height":303,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/image-17.png","large-width":1257,"large-height":496,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/image-17.png","1536x1536-width":1257,"1536x1536-height":496,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/image-17.png","2048x2048-width":1257,"2048x2048-height":496,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/image-17-826x326.png","card_image-width":826,"card_image-height":326,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/image-17.png","wide_image-width":1257,"wide_image-height":496}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"image","image":{"ID":2957624,"id":2957624,"title":"Divider","filename":"Divider-scaled.png","filesize":32513,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-scaled.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/imagery\/whats-new-in-imagery-in-arcgis-online-february-2026\/divider-11","alt":"Divider","author":"108651","description":"","caption":"","name":"divider-11","status":"inherit","uploaded_to":2956115,"date":"2026-02-24 15:48:50","modified":"2026-02-24 15:49:00","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":286,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-scaled.png","medium-width":464,"medium-height":52,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-scaled.png","medium_large-width":768,"medium_large-height":86,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-scaled.png","large-width":1920,"large-height":215,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-1536x171.png","1536x1536-width":1536,"1536x1536-height":171,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-2048x228.png","2048x2048-width":2048,"2048x2048-height":228,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-826x92.png","card_image-width":826,"card_image-height":92,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-1920x214.png","wide_image-width":1920,"wide_image-height":214}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h3>Other imagery enhancements<\/h3>\n<h4>Arcade support for imagery layers<\/h4>\n<p>You can now use Arcade to work with pop-ups for imagery layers in Map Viewer.<\/p>\n<p>After you add an imagery layer or tiled imagery layer to the map, access the <strong>Pop-ups<\/strong> panel and click <strong>Attribute expressions<\/strong> to build Arcade expressions, or click <strong>Add content<\/strong> to add an Arcade element to the pop-up.<\/p>\n<p>You can write expressions that return values from pixel, image metadata, attributes for displaying in the pop-up. For example, you can perform on-the-fly unit conversion for temperature data from Celsius to Fahrenheit; you can grab the RGB values from clicked pixel to dynamically color the pop-up text that matches the pixel rendering.<\/p>\n<p><code>$pixel<\/code> variable allows you to get pixel values and other pixel-dependent information; <code>$imageCollectionItem<\/code> returns the image attributes in the image collection that is currently in the view. You can read more about this new feature through <a id=\"menurd56\" class=\"fui-Link ___1q1shib f2hkw1w f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1s184ao f1mk8lai fnbmjn9 f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh fhgqx19 f1olyrje f1p93eir f1nev41a f1h8hb77 f1lqvz6u f10aw75t fsle3fq f17ae5zn\" title=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/arcade\/pixel-perfect-pop-ups-arcade-support-for-imagery-layers\" href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/arcade\/pixel-perfect-pop-ups-arcade-support-for-imagery-layers\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"Link this blog\">this blog<\/a>. \u00a0The latest ArcGIS Arcade release note for developers (version1.35) can also be found <a id=\"menurd58\" class=\"fui-Link ___1q1shib f2hkw1w f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1s184ao f1mk8lai fnbmjn9 f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh fhgqx19 f1olyrje f1p93eir f1nev41a f1h8hb77 f1lqvz6u f10aw75t fsle3fq f17ae5zn\" title=\"https:\/\/developers.arcgis.com\/arcade\/guide\/release-notes\/\" href=\"https:\/\/developers.arcgis.com\/arcade\/guide\/release-notes\/\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"Link here\">here<\/a>.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2958239,"id":2958239,"title":"Arcade_imagery","filename":"Arcade_imagery.png","filesize":805145,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Arcade_imagery.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/imagery\/whats-new-in-imagery-in-arcgis-online-february-2026\/arcade_imagery","alt":"Arcade support for imagery layers","author":"108651","description":"","caption":"","name":"arcade_imagery","status":"inherit","uploaded_to":2956115,"date":"2026-02-25 20:09:52","modified":"2026-02-25 20:10:15","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":993,"height":516,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Arcade_imagery-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Arcade_imagery.png","medium-width":464,"medium-height":241,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Arcade_imagery.png","medium_large-width":768,"medium_large-height":399,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Arcade_imagery.png","large-width":993,"large-height":516,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Arcade_imagery.png","1536x1536-width":993,"1536x1536-height":516,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Arcade_imagery.png","2048x2048-width":993,"2048x2048-height":516,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Arcade_imagery-826x429.png","card_image-width":826,"card_image-height":429,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Arcade_imagery.png","wide_image-width":993,"wide_image-height":516}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"image","image":{"ID":2957624,"id":2957624,"title":"Divider","filename":"Divider-scaled.png","filesize":32513,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-scaled.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/imagery\/whats-new-in-imagery-in-arcgis-online-february-2026\/divider-11","alt":"Divider","author":"108651","description":"","caption":"","name":"divider-11","status":"inherit","uploaded_to":2956115,"date":"2026-02-24 15:48:50","modified":"2026-02-24 15:49:00","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":286,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-scaled.png","medium-width":464,"medium-height":52,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-scaled.png","medium_large-width":768,"medium_large-height":86,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-scaled.png","large-width":1920,"large-height":215,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-1536x171.png","1536x1536-width":1536,"1536x1536-height":171,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-2048x228.png","2048x2048-width":2048,"2048x2048-height":228,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-826x92.png","card_image-width":826,"card_image-height":92,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-1920x214.png","wide_image-width":1920,"wide_image-height":214}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h3>Oriented imagery enhancements<\/h3>\n<h4>Improved 3D Search in Oriented Imagery showing tall structures<\/h4>\n<p><span data-olk-copy-source=\"MessageBody\">Searching for oriented images can now use horizontal and vertical coordinates from where you click in a 3D scene\u2014filtering and ranking imagery based on actual elevation and viewing angle\u2014so you get photos that truly match the feature you selected. Whether you click a rooftop, the 20th floor of a building, or the top of a transmission tower, the viewer returns imagery that shows the proper location in 3D space rather than ground\u2011level shots behind it, giving you far more precise, relevant, and efficient results for elevated assets and complex environments.\u00a0<\/span><\/p>\n<h4>Filtering by Time enabled in Oriented Imagery Viewer<\/h4>\n<p><span data-olk-copy-source=\"MessageBody\">We\u2019ve\u00a0made\u00a0it\u00a0easier to explore\u00a0oriented images\u00a0based on when\u00a0they\u00a0were\u00a0captured. After enabling time on an oriented imagery layer,\u00a0users\u00a0can use the time slider to interactively\u00a0filter\u00a0images taken within a selected date range. When\u00a0they\u00a0click on\u00a0the map to find images of a location, the viewer now honors those time settings, ensuring\u00a0users\u00a0can focus on imagery from the\u00a0timeframe\u00a0they\u00a0care about. This enhancement is especially valuable for organizations that collect imagery of the same area over time. It streamlines the process of reviewing the latest captures,\u00a0locating\u00a0older imagery for comparison, and managing repeat collections in a single, organized place. Inspection workflows\u00a0benefit\u00a0from\u00a0faster access to relevant images and a clearer view of change over time.<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2956843,"id":2956843,"title":"TimeInfo","filename":"TimeInfo.gif","filesize":14660428,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/TimeInfo.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/imagery\/whats-new-in-imagery-in-arcgis-online-february-2026\/timeinfo","alt":"Time info Oriented imagery","author":"108651","description":"","caption":"","name":"timeinfo","status":"inherit","uploaded_to":2956115,"date":"2026-02-19 17:33:37","modified":"2026-02-19 17:33:55","menu_order":0,"mime_type":"image\/gif","type":"image","subtype":"gif","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":800,"height":450,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/TimeInfo-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/TimeInfo.gif","medium-width":464,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/TimeInfo.gif","medium_large-width":768,"medium_large-height":432,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/TimeInfo.gif","large-width":800,"large-height":450,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/TimeInfo.gif","1536x1536-width":800,"1536x1536-height":450,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/TimeInfo.gif","2048x2048-width":800,"2048x2048-height":450,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/TimeInfo.gif","card_image-width":800,"card_image-height":450,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/TimeInfo.gif","wide_image-width":800,"wide_image-height":450}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"image","image":{"ID":2957624,"id":2957624,"title":"Divider","filename":"Divider-scaled.png","filesize":32513,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-scaled.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/imagery\/whats-new-in-imagery-in-arcgis-online-february-2026\/divider-11","alt":"Divider","author":"108651","description":"","caption":"","name":"divider-11","status":"inherit","uploaded_to":2956115,"date":"2026-02-24 15:48:50","modified":"2026-02-24 15:49:00","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":2560,"height":286,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-scaled.png","medium-width":464,"medium-height":52,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-scaled.png","medium_large-width":768,"medium_large-height":86,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-scaled.png","large-width":1920,"large-height":215,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-1536x171.png","1536x1536-width":1536,"1536x1536-height":171,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-2048x228.png","2048x2048-width":2048,"2048x2048-height":228,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-826x92.png","card_image-width":826,"card_image-height":92,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/Divider-1920x214.png","wide_image-width":1920,"wide_image-height":214}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h2>Ready to take the next step?<\/h2>\n<p>As an ArcGIS Online user, you can start exploring these new imagery capabilities today. The Product Team is interested in your thoughts and ideas as you explore. Influence the direction of future releases when you visit us and leave a comment via the\u00a0<a id=\"menur22ka\" class=\"fui-Link ___1q1shib f2hkw1w f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1s184ao f1mk8lai fnbmjn9 f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh fhgqx19 f1olyrje f1p93eir f1nev41a f1h8hb77 f1lqvz6u f10aw75t fsle3fq f17ae5zn\" title=\"https:\/\/link.esri.com\/imageanalysis\/imageryinonlineesricommunity\" href=\"https:\/\/link.esri.com\/imageanalysis\/imageryinonlineesricommunity\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"Link Imagery in ArcGIS Online community\">Imagery in ArcGIS Online community<\/a>\u00a0on Esri Community.<\/p>\n<p>Interested in seeing how others are using imagery in ArcGIS Online? Check out stories from\u00a0<a id=\"menur22k4\" class=\"fui-Link ___1q1shib f2hkw1w f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1s184ao f1mk8lai fnbmjn9 f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh fhgqx19 f1olyrje f1p93eir f1nev41a f1h8hb77 f1lqvz6u f10aw75t fsle3fq f17ae5zn\" title=\"https:\/\/link.esri.com\/imageanalysis\/skytec\" href=\"https:\/\/link.esri.com\/imageanalysis\/skytec\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"Link Skytec, LLC\">Skytec, LLC<\/a>, the\u00a0<a id=\"menur22k6\" class=\"fui-Link ___1q1shib f2hkw1w f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1s184ao f1mk8lai fnbmjn9 f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh fhgqx19 f1olyrje f1p93eir f1nev41a f1h8hb77 f1lqvz6u f10aw75t fsle3fq f17ae5zn\" title=\"https:\/\/link.esri.com\/imageanalysis\/johnscreek\" href=\"https:\/\/link.esri.com\/imageanalysis\/johnscreek\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"Link City of Johns Creek\">City of Johns Creek<\/a>, and the\u00a0<a id=\"menur22k8\" class=\"fui-Link ___1q1shib f2hkw1w f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1s184ao f1mk8lai fnbmjn9 f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh fhgqx19 f1olyrje f1p93eir f1nev41a f1h8hb77 f1lqvz6u f10aw75t fsle3fq f17ae5zn\" title=\"https:\/\/link.esri.com\/imageanalysis\/nationaltrust\" href=\"https:\/\/link.esri.com\/imageanalysis\/nationaltrust\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"Link National Trust from the UK\">National Trust from the UK<\/a>.<\/p>\n<p>As an ArcGIS Online user, you can start exploring these new imagery capabilities today. Read blogs on the latest practices and tools such as,\u00a0<a id=\"menur22ju\" class=\"fui-Link ___1q1shib f2hkw1w f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1s184ao f1mk8lai fnbmjn9 f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh fhgqx19 f1olyrje f1p93eir f1nev41a f1h8hb77 f1lqvz6u f10aw75t fsle3fq f17ae5zn\" title=\"https:\/\/link.esri.com\/imageanalysis\/mappingmangrove_arcgisonline\" href=\"https:\/\/link.esri.com\/imageanalysis\/mappingmangrove_arcgisonline\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"Link mapping mangrove dynamics with raster functions\">mapping mangrove dynamics with raster functions<\/a>\u00a0or\u00a0<a id=\"menur22k0\" class=\"fui-Link ___1q1shib f2hkw1w f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1s184ao f1mk8lai fnbmjn9 f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh fhgqx19 f1olyrje f1p93eir f1nev41a f1h8hb77 f1lqvz6u f10aw75t fsle3fq f17ae5zn\" title=\"https:\/\/link.esri.com\/imageanalysis\/urbanheatislands_argisonline\" href=\"https:\/\/link.esri.com\/imageanalysis\/urbanheatislands_argisonline\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"Link mapping urban heat islands with Landsat imagery\">mapping urban heat islands with Landsat imagery<\/a>. Explore the\u00a0<a id=\"menur22k2\" class=\"fui-Link ___1q1shib f2hkw1w f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1s184ao f1mk8lai fnbmjn9 f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh fhgqx19 f1olyrje f1p93eir f1nev41a f1h8hb77 f1lqvz6u f10aw75t fsle3fq f17ae5zn\" title=\"https:\/\/learn.arcgis.com\/en\/gallery\/#?c=imagery&amp;p=agol&amp;aduc=social&amp;aduca=cra_image_analysis&amp;aduco=socialandnewslettters&amp;adum=external&amp;adusf=twitter&amp;adut=imageanalysis&amp;cid=68f290a01ac0495c0c80f16b_tutorials_argisonline&amp;sf_id=701uu00000osnrcyat&amp;utm_campaign=cra_image_analysis&amp;utm_content=socialandnewslettters&amp;utm_id=701uu00000osnrcyat&amp;utm_medium=external&amp;utm_source=social&amp;utm_term=imageanalysis\" href=\"https:\/\/learn.arcgis.com\/en\/gallery\/#?c=imagery&amp;p=agol&amp;aduc=Social&amp;aduca=CRA_Image_Analysis&amp;aduco=socialandnewslettters&amp;adum=External&amp;adusf=Twitter&amp;adut=imageanalysis&amp;cid=68f290a01ac0495c0c80f16b_tutorials_argisonline&amp;sf_id=701UU00000OSnrCYAT&amp;utm_campaign=CRA_Image_Analysis&amp;utm_content=socialandnewslettters&amp;utm_id=701UU00000OSnrCYAT&amp;utm_medium=External&amp;utm_source=Social&amp;utm_term=imageanalysis\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"Link tutorial gallery\">tutorial gallery.<\/a><\/p>\n"}],"related_articles":[{"ID":2942366,"post_author":"108651","post_date":"2025-10-23 07:18:38","post_date_gmt":"2025-10-23 14:18:38","post_content":"","post_title":"What's new in imagery in ArcGIS Online (October 2025)","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"imagery-arcgis-online-october-2025","to_ping":"","pinged":"","post_modified":"2025-11-03 16:58:10","post_modified_gmt":"2025-11-04 00:58:10","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=2942366","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"}],"show_article_image":true,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/whatnewFeb826_465.png","wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/02\/whatnewFeb1920_1080.png","authors":[{"ID":108651,"user_firstname":"Jeffrey","user_lastname":"Swain","nickname":"Jeff Swain","user_nicename":"jswain","display_name":"Jeff Swain","user_email":"JSwain@esri.com","user_url":"https:\/\/www.esri.com\/arcgis-blog\/?s=#&amp;author=jswain","user_registered":"2020-10-05 20:10:08","user_description":"A Product Engineer on the Raster Team, who has been with Esri in various capacities since 2009, including as an Esri Support Analyst, and an Author for Esri Training Services. \r\n\r\nI find joy in solving problems through imagery and shared understanding, always driven by a passion to make things work better. I'm grateful for the creative minds I've met along the way\u2014collaboration has shown me that the best solutions are often born from many voices working together.","user_avatar":"<img data-del=\"avatar\" src='https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/09\/headshot-213x200.jpg' class='avatar pp-user-avatar avatar-96 photo ' height='96' width='96'\/>"},{"ID":299162,"user_firstname":"Ling","user_lastname":"Tang","nickname":"Ling Tang (Redlands)","user_nicename":"ling_tang","display_name":"Ling Tang","user_email":"Ling_Tang@esri.com","user_url":"","user_registered":"2022-01-10 21:15:59","user_description":"Dr. Ling Tang has been exploring Remote Sensing and GIS for more than 20 years. She is a Senior Product Engineer for imagery at Esri where she focuses on the development of best practices for visualizing and analyzing scientific big data, machine learning and image classification on ArcGIS platform. Before joining Esri, she was a former research professional at NASA GSFC worked on a couple of precipitation missions.","user_avatar":"<img data-del=\"avatar\" src='https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/01\/Ling_Tang-465x465.jpg' class='avatar pp-user-avatar avatar-96 photo ' height='96' width='96'\/>"},{"ID":246232,"user_firstname":"Tania","user_lastname":"Lopez-Cantu","nickname":"Tania Lopez-Cantu","user_nicename":"tlopezcantu","display_name":"Tania Lopez-Cantu","user_email":"tlopezcantu@esri.com","user_url":"","user_registered":"2021-07-02 17:07:13","user_description":"Tania Lopez-Cantu is a Senior Product Engineer in the Raster Analysis team at Esri. She works with raster and scientific multidimensional data to solve problems in water resources management and climate change impacts. Her role at Esri includes conducting research, building and maintaining tools for hydrological and terrain analysis. She holds a Ph.D. in Civil and Environmental Engineering from Carnegie Mellon University.","user_avatar":"<img data-del=\"avatar\" src='https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/10\/tanialopez-cantu_tan11562-465x465.jpg' class='avatar pp-user-avatar avatar-96 photo ' height='96' width='96'\/>"},{"ID":367982,"user_firstname":"Erin","user_lastname":"Pimentel","nickname":"Erin Pimentel","user_nicename":"epimentel","display_name":"Erin Pimentel","user_email":"epimentel@esri.com","user_url":"","user_registered":"2025-01-28 20:39:26","user_description":"Erin is a product engineering writer who focuses on reference documentation for imagery in ArcGIS Online.","user_avatar":"<img data-del=\"avatar\" src='https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/headshot-1-scaled-e1760556598431-213x200.jpg' class='avatar pp-user-avatar avatar-96 photo ' height='96' width='96'\/>"},{"ID":309962,"user_firstname":"Alexandra","user_lastname":"Wynn","nickname":"Alexandra Wynn","user_nicename":"awynn","display_name":"Alexandra Wynn","user_email":"awynn@esri.com","user_url":"","user_registered":"2022-05-11 18:42:45","user_description":"Alexandra is a Product Marketing Manager on the Imagery &amp; Remote Sensing team at Esri. She is now working on changing Esri's image analysis story for products like ArcGIS Image Analyst, ArcGIS Excalibur, and features like GeoAI and raster functionality across ArcGIS. Before Esri, Alexandra specialized in CRM, content, and email marketing strategies for top tech companies.","user_avatar":"<img data-del=\"avatar\" src='https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2022\/07\/Profile-Pic-213x200.jpg' class='avatar pp-user-avatar avatar-96 photo ' height='96' width='96'\/>"}]},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.9 (Yoast SEO v25.9) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>What&#039;s new in imagery in ArcGIS Online (February 2026) What&#039;s new in Imagery in ArcGIS Online - February 2026<\/title>\n<meta name=\"description\" content=\"Discover the latest enhancements to imagery capabilities in ArcGIS Online, including Python API workflows, Living Atlas updates, hyperspectral support, and more.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/imagery\/whats-new-in-imagery-in-arcgis-online-february-2026\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What&#039;s new in imagery in ArcGIS Online (February 2026)\" \/>\n<meta property=\"og:description\" content=\"Discover the latest enhancements to imagery capabilities in ArcGIS Online, including Python API workflows, Living Atlas updates, hyperspectral support, and more.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/imagery\/whats-new-in-imagery-in-arcgis-online-february-2026\" \/>\n<meta property=\"og:site_name\" content=\"ArcGIS Blog\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/esrigis\/\" \/>\n<meta property=\"article:modified_time\" content=\"2026-03-06T16:18:25+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@ESRI\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"10 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":[\"Article\",\"BlogPosting\"],\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/imagery\/whats-new-in-imagery-in-arcgis-online-february-2026#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/imagery\/whats-new-in-imagery-in-arcgis-online-february-2026\"},\"author\":{\"name\":\"Jeff Swain\",\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/#\/schema\/person\/ae52444cb4cce77784180d100f6ba1cf\"},\"headline\":\"What&#8217;s new in imagery in ArcGIS Online (February 2026)\",\"datePublished\":\"2026-02-26T14:04:00+00:00\",\"dateModified\":\"2026-03-06T16:18:25+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-online\/imagery\/whats-new-in-imagery-in-arcgis-online-february-2026\"},\"wordCount\":9,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/#organization\"},\"keywords\":[\"2026 R1\",\"ArcGIS Online\",\"Imagery\",\"Living Atlas\",\"what's new february 2026\"],\"articleSection\":[\"Imagery &amp; 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