{"id":2942951,"date":"2025-10-26T23:51:36","date_gmt":"2025-10-27T06:51:36","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=2942951"},"modified":"2025-11-13T07:38:37","modified_gmt":"2025-11-13T15:38:37","slug":"new-spectral-analysis-tools","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/new-spectral-analysis-tools","title":{"rendered":"Empower Hyperspectral Image Analysis with Spectral Library Support – New Spectral Analysis Tools in ArcGIS Pro 3.6\u00a0"},"author":10352,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[24641,22931,22771],"tags":[780842,780843,774652,780840,780841],"industry":[],"product":[36561],"class_list":["post-2942951","blog","type-blog","status-publish","format-standard","hentry","category-defense","category-imagery","category-natural-resources","tag-detect-target","tag-geologic-mapping","tag-hyperspectral","tag-spectra","tag-spectral-library","product-arcgis-pro"],"acf":{"show_article_image":false,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/fig_banner.jpg","wide_image":false,"authors":[{"ID":10352,"user_firstname":"Hong","user_lastname":"Xu","nickname":"Hong Xu","user_nicename":"hxu","display_name":"Hong Xu","user_email":"hxu@esri.com","user_url":"","user_registered":"2019-12-20 16:44:39","user_description":"Hong Xu is a Principal Software Product Engineer on Esri\u2019s imagery team, where she has been contributing since 1999. Her work focuses on advancing analytical methods for Earth observation data, including image time series (image cubes), hyperspectral imagery, multidimensional raster analysis, and altimetry data. She is passionate about bridging scientific research and software development to help users better understand environmental change through geospatial analysis.","user_avatar":""},{"ID":325562,"user_firstname":"Shengan","user_lastname":"Zhan","nickname":"Shengan Zhan","user_nicename":"szhan","display_name":"Shengan Zhan","user_email":"szhan@esri.com","user_url":"","user_registered":"2023-01-18 19:57:27","user_description":"Shengan is a senior product engineer on the raster team. He joined ESRI since 2020 and his focus is on multidimensional image analysis.","user_avatar":""},{"ID":8452,"user_firstname":"Vinay","user_lastname":"Viswambharan","nickname":"Vinay Viswambharan","user_nicename":"vinayv","display_name":"Vinay Viswambharan","user_email":"vinayv@esri.com","user_url":"https:\/\/www.esri.com\/arcgis-blog\/author\/vinayv\/","user_registered":"2018-10-04 22:28:54","user_description":"Principal Product manager on the Imagery team at Esri, with a zeal for remote sensing, AI and everything imagery.","user_avatar":""}],"short_description":"Learn how to create, explore, and apply spectral libraries in ArcGIS Pro 3.6 for efficient hyperspectral image interpretation, target detection, ","flexible_content":[{"acf_fc_layout":"content","content":"

With the growing availability of imagery from sensors like AVIRIS, EMIT, and the launch of newer hyperspectral sensors, analysts need tools that make spectral analysis approachable and operational in ArcGIS Pro. Hyperspectral imagery provides hundreds of continuous spectral bands across visible, near infrared, and shortwave infrared regions, capturing rich information about the materials in your imagery. ArcGIS Pro 3.6 introduces powerful new tools, <\/span>Spectral Library Browser<\/strong><\/a>, <\/span><\/b>Spectral Library Viewer<\/strong><\/a>,<\/span><\/b> and <\/span>Target Detection Wizard<\/strong><\/a> with <\/span>Detect Target Using Spectra<\/strong><\/a> and <\/span>Resample Spectral Library<\/strong><\/a> geoprocessing tools, enabling applications from geologic mapping and mineral detection to precision agriculture and environmental monitoring.<\/span>\u00a0<\/span><\/p>\n

With these enhancements, analysts can move beyond standard classification workflows, leveraging detailed spectral information for advanced tasks such as <\/span>target detection, material <\/span>validation<\/span>, vegetation monitoring,<\/span> and<\/span> spectral unmixing<\/span>.<\/span><\/b>\u00a0<\/span><\/p>\n

What Is a Spectral Library?<\/span>\u00a0<\/span><\/h2>\n

A spectral library is a curated collection of spectral signatures that describe how materials reflect light across wavelengths. Organizations like the<\/span> U.S. Geological Survey (USGS)<\/span> have compiled thousands of reference spectra covering vegetation, minerals, soils, and man-made surfaces. The spectral signatures in these libraries serve as foundational references for analyses such as <\/span>mineral mapping, vegetation classification,<\/span> and<\/span> environmental monitoring<\/span>, enabling more accurate, validated results.<\/span>\u00a0<\/span><\/p>\n

How ArcGIS 3.6 Supports Spectral Library\u00a0<\/span>\u00a0<\/span><\/h2>\n

With Pro 3.6, you can:<\/span>\u00a0<\/span><\/p>\n

    \n
  • Open existing spectral libraries, including <\/span>USGS<\/span> and <\/span>ENVI<\/span> collections.<\/span>\u00a0<\/span><\/li>\n<\/ul>\n
      \n
    • Collect spectral signatures directly from imagery and save them as <\/span>Esri Spectral Library (.esl)<\/span> files.<\/span>\u00a0<\/span><\/li>\n<\/ul>\n
        \n
      • Perform interactive spectral analysis, target detection, and spectral unmixing workflows using these signatures.<\/span>\u00a0<\/span><\/li>\n<\/ul>\n

        These capabilities streamline your hyperspectral analysis. The introduction of spectral library support opens the doors to advanced image analysis capabilities that go beyond traditional image classification.<\/span>\u00a0<\/span><\/p>\n

        \u00a0<\/span>New Feature Highlights<\/span>\u00a0<\/span><\/h2>\n

        1.Export Spectra from USGS Spectral Libraries<\/span>\u00a0<\/span><\/h3>\n

        The USGS Spectral Library contains thousands of spectra from diverse sensors and materials. The <\/span>Spectral Library Browser<\/span> allows you to open the library from the root ASCII folder\u2014or filter by specific sensor or material category. You can interactively select, view, and export signatures as an Esri Spectral Library file for analysis such as target detection and spectral unmixing workflows.\u00a0<\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2942952,"id":2942952,"title":"browser_550height","filename":"browser_550height.gif","filesize":1137277,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/browser_550height.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/new-spectral-analysis-tools\/browser_550height","alt":"Spectral Library Browser gif","author":"10352","description":"","caption":"","name":"browser_550height","status":"inherit","uploaded_to":2942951,"date":"2025-10-13 23:51:47","modified":"2025-10-13 23:52:12","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":234,"height":550,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/browser_550height-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/browser_550height.gif","medium-width":111,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/browser_550height.gif","medium_large-width":234,"medium_large-height":550,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/browser_550height.gif","large-width":234,"large-height":550,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/browser_550height.gif","1536x1536-width":234,"1536x1536-height":550,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/browser_550height.gif","2048x2048-width":234,"2048x2048-height":550,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/browser_550height-198x465.gif","card_image-width":198,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/browser_550height.gif","wide_image-width":234,"wide_image-height":550}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

        \u00a0 2.Create a Spectral Library from Imagery<\/span>\u00a0<\/span><\/h3>\n

        The enhanced <\/span>Spectral Signature Viewer<\/span> makes it easier to <\/span>collect, edit, and save<\/span> spectral signatures from imagery to create your own spectral libraries.<\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2942955,"id":2942955,"title":"fig_collect_signature","filename":"fig_collect_signature.jpg","filesize":47480,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/fig_collect_signature.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/new-spectral-analysis-tools\/fig_collect_signature","alt":"signature collection","author":"10352","description":"","caption":"","name":"fig_collect_signature","status":"inherit","uploaded_to":2942951,"date":"2025-10-13 23:59:58","modified":"2025-10-14 00:00:08","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":600,"height":308,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/fig_collect_signature-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/fig_collect_signature.jpg","medium-width":464,"medium-height":238,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/fig_collect_signature.jpg","medium_large-width":600,"medium_large-height":308,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/fig_collect_signature.jpg","large-width":600,"large-height":308,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/fig_collect_signature.jpg","1536x1536-width":600,"1536x1536-height":308,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/fig_collect_signature.jpg","2048x2048-width":600,"2048x2048-height":308,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/fig_collect_signature.jpg","card_image-width":600,"card_image-height":308,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/fig_collect_signature.jpg","wide_image-width":600,"wide_image-height":308}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

        3.Explore Spectral Signatures Interactively<\/span>\u00a0<\/span><\/h3>\n

        The <\/span>Live Update option in the Spectral Signature Viewer lets you interactively explore spectral profiles as you move your cursor over imagery. Real-time updates help you identify meaningful signatures quickly, keeping your spectral library focused and organized.<\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2942953,"id":2942953,"title":"LiveUpdate_signature-500","filename":"LiveUpdate_signature-500.gif","filesize":1273637,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/LiveUpdate_signature-500.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/new-spectral-analysis-tools\/liveupdate_signature-500","alt":"live spectra update","author":"10352","description":"","caption":"","name":"liveupdate_signature-500","status":"inherit","uploaded_to":2942951,"date":"2025-10-13 23:52:59","modified":"2025-10-13 23:53:17","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":500,"height":392,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/LiveUpdate_signature-500-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/LiveUpdate_signature-500.gif","medium-width":333,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/LiveUpdate_signature-500.gif","medium_large-width":500,"medium_large-height":392,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/LiveUpdate_signature-500.gif","large-width":500,"large-height":392,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/LiveUpdate_signature-500.gif","1536x1536-width":500,"1536x1536-height":392,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/LiveUpdate_signature-500.gif","2048x2048-width":500,"2048x2048-height":392,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/LiveUpdate_signature-500.gif","card_image-width":500,"card_image-height":392,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/LiveUpdate_signature-500.gif","wide_image-width":500,"wide_image-height":392}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

        4.Compare Spectral Signatures<\/span> from Multiple Sources<\/span><\/h3>\n

        The <\/span>Spectral Signature Viewer<\/span> enables visualization of signatures from both imagery and spectral libraries, in one window or side by side, comparing your image-derived signatures with library references or examine spectral changes across different dates.\u00a0<\/span>\u00a0<\/span><\/p>\n

        For example, the figure below shows vegetation spectral changes in wetlands near <\/span>UC Santa Barbara over February and May<\/span>, illustrating how reflectance patterns evolve with moisture<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2942954,"id":2942954,"title":"fig_comparison","filename":"fig_comparison.jpg","filesize":36706,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/fig_comparison.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/new-spectral-analysis-tools\/fig_comparison","alt":"signature comparison","author":"10352","description":"","caption":"","name":"fig_comparison","status":"inherit","uploaded_to":2942951,"date":"2025-10-13 23:59:21","modified":"2025-10-13 23:59:31","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":600,"height":292,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/fig_comparison-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/fig_comparison.jpg","medium-width":464,"medium-height":226,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/fig_comparison.jpg","medium_large-width":600,"medium_large-height":292,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/fig_comparison.jpg","large-width":600,"large-height":292,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/fig_comparison.jpg","1536x1536-width":600,"1536x1536-height":292,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/fig_comparison.jpg","2048x2048-width":600,"2048x2048-height":292,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/fig_comparison.jpg","card_image-width":600,"card_image-height":292,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/fig_comparison.jpg","wide_image-width":600,"wide_image-height":292}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

        5.<\/span> H<\/span>ighlight<\/span> Materials <\/span>Using RGB Handles<\/span><\/span>\u00a0<\/span><\/h3>\n

        The <\/span>RGB Handles<\/span> in the viewer indicate which spectral bands are currently used for RGB display. By adjusting these handles, you can emphasize pixels that share similar spectral absorption characteristics.<\/span>\u00a0<\/span><\/p>\n

        For example, <\/span>Jarosite<\/span> exhibits a distinct shortwave infrared absorption feature, placing the red handle over a reflectance peak and green\/blue handles over absorption valleys, highlights Jarosite-like pixels in reddish tones.<\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2942956,"id":2942956,"title":"RGB_handles_dark500","filename":"RGB_handles_dark500.gif","filesize":1634685,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/RGB_handles_dark500.gif","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/new-spectral-analysis-tools\/rgb_handles_dark500","alt":"RGB handles","author":"10352","description":"","caption":"","name":"rgb_handles_dark500","status":"inherit","uploaded_to":2942951,"date":"2025-10-14 00:00:34","modified":"2025-10-14 00:00:43","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":500,"height":398,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/RGB_handles_dark500-213x200.gif","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/RGB_handles_dark500.gif","medium-width":328,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/RGB_handles_dark500.gif","medium_large-width":500,"medium_large-height":398,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/RGB_handles_dark500.gif","large-width":500,"large-height":398,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/RGB_handles_dark500.gif","1536x1536-width":500,"1536x1536-height":398,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/RGB_handles_dark500.gif","2048x2048-width":500,"2048x2048-height":398,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/RGB_handles_dark500.gif","card_image-width":500,"card_image-height":398,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/RGB_handles_dark500.gif","wide_image-width":500,"wide_image-height":398}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

        6.Detect Materials with Target Detection\u00a0<\/span>\u00a0<\/span><\/h3>\n

        Spectral libraries are essential for identifying materials of interest in imagery. The <\/span>Target Detection Wizard<\/span> guides you through defining processing extent, choosing an algorithm, tunning threshold, and generating results. In the Colorado mountains, mineral signatures like Hematite, Pyrite, and Rhodochrosite were selected from USGS library, detected using the <\/span>Spectral Angle Mapper (SAM)<\/span> algorithm, producing clear mineral maps in just a few steps.<\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2942957,"id":2942957,"title":"fig_detection","filename":"fig_detection.jpg","filesize":72929,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/fig_detection.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/new-spectral-analysis-tools\/fig_detection","alt":"mineral map","author":"10352","description":"","caption":"","name":"fig_detection","status":"inherit","uploaded_to":2942951,"date":"2025-10-14 00:01:18","modified":"2025-10-14 00:01:30","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":410,"height":421,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/fig_detection-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/fig_detection.jpg","medium-width":254,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/fig_detection.jpg","medium_large-width":410,"medium_large-height":421,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/fig_detection.jpg","large-width":410,"large-height":421,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/fig_detection.jpg","1536x1536-width":410,"1536x1536-height":421,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/fig_detection.jpg","2048x2048-width":410,"2048x2048-height":421,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/fig_detection.jpg","card_image-width":410,"card_image-height":421,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/fig_detection.jpg","wide_image-width":410,"wide_image-height":421}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

        7. <\/span>Spectral Unmixing <\/span>for Mixed Pixels<\/span><\/span>\u00a0<\/span><\/h3>\n

        Remote sensing pixels often contain mixtures of multiple materials. <\/span>Linear spectral unmixing<\/span> calculates the abundance of each material within a pixel. In ArcGIS Pro 3.6, the Linear Spectral Unmixing tool has been enhanced to support spectral libraries. You can now use signatures collected from imagery or selected from an existing library as the reference endmember, streamlining the linear unmixing workflow and improving consistency across projects.<\/span>\u00a0<\/span><\/p>\n

        The figure below shows an abundance map of trees, grassland, and shrubs within the Jack and Laura Dangermond Preserve. The spectral signatures were collected from field GPS data using the Spectral Signature Viewer and applied to an AVIRIS hyperspectral imagery using the Linear Spectral Unmixing Geoprocessing tool.<\/span>\u00a0<\/span><\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2942958,"id":2942958,"title":"fig_unmixing","filename":"fig_unmixing.jpg","filesize":83776,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/fig_unmixing.jpg","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/new-spectral-analysis-tools\/fig_unmixing","alt":"abundance map","author":"10352","description":"","caption":"","name":"fig_unmixing","status":"inherit","uploaded_to":2942951,"date":"2025-10-14 00:01:51","modified":"2025-10-14 00:02:20","menu_order":0,"mime_type":"image\/jpeg","type":"image","subtype":"jpeg","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":400,"height":419,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/fig_unmixing-213x200.jpg","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/fig_unmixing.jpg","medium-width":249,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/fig_unmixing.jpg","medium_large-width":400,"medium_large-height":419,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/fig_unmixing.jpg","large-width":400,"large-height":419,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/fig_unmixing.jpg","1536x1536-width":400,"1536x1536-height":419,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/fig_unmixing.jpg","2048x2048-width":400,"2048x2048-height":419,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/fig_unmixing.jpg","card_image-width":400,"card_image-height":419,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/fig_unmixing.jpg","wide_image-width":400,"wide_image-height":419}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

        Summary<\/span>\u00a0<\/span><\/h2>\n

        ArcGIS Pro 3.6 provides a comprehensive environment for hyperspectral analysis. From integrating USGS spectral libraries and building custom collections to performing target detection and spectral unmixing, these tools make it easier to turn detailed spectral data into meaningful insights.<\/span>
        \nExplore these new capabilities in your workflows and share your feedback to help guide future enhancements.<\/span>\u00a0<\/span><\/p>\n"}],"related_articles":[{"ID":2332262,"post_author":"10352","post_date":"2024-05-09 11:22:30","post_date_gmt":"2024-05-09 18:22:30","post_content":"","post_title":"Working with EMIT Hyperspectral Imagery in ArcGIS","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"working-with-emit-data-in-arcgis","to_ping":"","pinged":"","post_modified":"2024-05-13 09:19:34","post_modified_gmt":"2024-05-13 16:19:34","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=2332262","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"2","filter":"raw"},{"ID":2824452,"post_author":"10352","post_date":"2025-06-09 10:51:55","post_date_gmt":"2025-06-09 17:51:55","post_content":"","post_title":"Discover the Unexpected with the 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19:09:23","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=2778182","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"2","filter":"raw"}]},"yoast_head":"\nSpectral analysis in ArcGIS Pro 3.6<\/title>\n<meta name=\"description\" content=\"Discover how ArcGIS Pro 3.6 enables hyperspectral image analysis with new spectral library tools, target detection, and spectral unmixing for geologic mapping, vegetation studies, and precision agriculture.\" \/>\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-pro\/imagery\/new-spectral-analysis-tools\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Empower Hyperspectral Image Analysis with Spectral Library Support - New Spectral Analysis Tools in ArcGIS Pro 3.6\u00a0\" \/>\n<meta property=\"og:description\" content=\"Discover how ArcGIS Pro 3.6 enables hyperspectral image analysis with new spectral library tools, target detection, and spectral unmixing for geologic mapping, vegetation studies, and precision agriculture.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/new-spectral-analysis-tools\" \/>\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=\"2025-11-13T15:38:37+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=\"6 minutes\" \/>\n<script type=\"application\/ld+json\" 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