{"id":2945812,"date":"2025-11-18T09:45:06","date_gmt":"2025-11-18T17:45:06","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=2945812"},"modified":"2025-12-22T13:44:27","modified_gmt":"2025-12-22T21:44:27","slug":"whats-new-for-geoai-in-the-arcgis-pro-3-6-image-analyst-extension","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/geoai\/whats-new-for-geoai-in-the-arcgis-pro-3-6-image-analyst-extension","title":{"rendered":"What&#8217;s New for GeoAI in the ArcGIS Pro 3.6 Image Analyst Extension"},"author":254042,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[770712,22931],"tags":[780835,186132,665211,768962,777242],"industry":[],"product":[36561],"class_list":["post-2945812","blog","type-blog","status-publish","format-standard","hentry","category-geoai","category-imagery","tag-arcgis-pro-3-6","tag-deep-learning","tag-geoai","tag-imagery-remote-sensing","tag-whats-new-in-arcgis-pro","product-arcgis-pro"],"acf":{"short_description":"ArcGIS Pro 3.6 brings QA\/QC for training data, Grad-CAM multi-label, and Multi-click Auto-Detect and more..","flexible_content":[{"acf_fc_layout":"content","content":"<p>We\u2019re excited to share the powerful new and enhanced GeoAI capabilities available in the ArcGIS Pro 3.6 Image Analyst Extension. You\u2019ll find that the entire training data pipeline has been refined, introducing powerful <strong>training data review tools <\/strong>that provide the confidence and efficiency needed to build the best deep learning models. This release is all about making your workflows easier and your results more accurate than ever.<\/p>\n<p>Here\u2019s a quick look at the powerful new capabilities across GeoAI workflows:<\/p>\n<ul>\n<li>New training data review tools<\/li>\n<li>New Transform Image Shapes tool<\/li>\n<li>Enhanced Grad-CAM for multi-classification<\/li>\n<li>Enhanced Auto Detect with multi-click<\/li>\n<li>New backend Deep Learning readiness check<\/li>\n<li>New 3D-RCNet model type<\/li>\n<\/ul>\n"},{"acf_fc_layout":"content","content":"<h2>New training data review tools<\/h2>\n<p>Reliable GeoAI starts with reliable training data. To ensure the highest model accuracy, we&#8217;ve provided powerful tools to <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/help\/analysis\/image-analyst\/review-labels-and-training-data.htm\" target=\"_blank\" rel=\"noopener\">review your labels and training data<\/a>. ArcGIS Pro 3.6 introduces a comprehensive set of quality assurance (QA) and quality control (QC) tools for your labels and exported training data.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2948745,"id":2948745,"title":"Review labels and training data","filename":"Review-labels-and-training-data3.png","filesize":89321,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Review-labels-and-training-data3.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/geoai\/whats-new-for-geoai-in-the-arcgis-pro-3-6-image-analyst-extension\/review-labels-and-training-data3","alt":"Review labels and training data","author":"254042","description":"Review labels and training data","caption":"Review labels and training data","name":"review-labels-and-training-data3","status":"inherit","uploaded_to":2945812,"date":"2025-11-17 18:42:21","modified":"2025-11-17 18:42:31","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":354,"height":350,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Review-labels-and-training-data3-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Review-labels-and-training-data3.png","medium-width":264,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Review-labels-and-training-data3.png","medium_large-width":354,"medium_large-height":350,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Review-labels-and-training-data3.png","large-width":354,"large-height":350,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Review-labels-and-training-data3.png","1536x1536-width":354,"1536x1536-height":350,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Review-labels-and-training-data3.png","2048x2048-width":354,"2048x2048-height":350,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Review-labels-and-training-data3.png","card_image-width":354,"card_image-height":350,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Review-labels-and-training-data3.png","wide_image-width":354,"wide_image-height":350}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h3>Manual review of labels<\/h3>\n<p data-pm-slice=\"1 1 []\">Since label creation is a critical but labor-intensive process, ensuring quality is essential for model performance. Labels often contain errors in class name or geometry. To streamline this manual QA process, we\u2019ve dedicated a <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/help\/analysis\/image-analyst\/review-labels-and-training-data.htm#GUID-39EC7A27-8A31-4CE2-86FA-20238E7C6DF9\" target=\"_blank\" rel=\"noopener\"><strong>Label <\/strong><\/a>\u202ftab to centralize all the necessary tools. This tab allows you to quickly select single or multiple labels and take actions\u2014such as review, approve, reject, and edit\u2014directly and efficiently.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2948831,"id":2948831,"title":"Label tab: Review labels and training data","filename":"Label-tab-of-Review-labels-and-training-data2.png","filesize":212322,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Label-tab-of-Review-labels-and-training-data2.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/geoai\/whats-new-for-geoai-in-the-arcgis-pro-3-6-image-analyst-extension\/label-tab-of-review-labels-and-training-data2","alt":"Label tab: Review labels and training data","author":"254042","description":"Label tab: Review labels and training data","caption":"Label tab: Review labels and training data","name":"label-tab-of-review-labels-and-training-data2","status":"inherit","uploaded_to":2945812,"date":"2025-11-17 20:08:01","modified":"2025-11-17 20:08:16","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":1684,"height":739,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Label-tab-of-Review-labels-and-training-data2-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Label-tab-of-Review-labels-and-training-data2.png","medium-width":464,"medium-height":204,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Label-tab-of-Review-labels-and-training-data2.png","medium_large-width":768,"medium_large-height":337,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Label-tab-of-Review-labels-and-training-data2.png","large-width":1684,"large-height":739,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Label-tab-of-Review-labels-and-training-data2-1536x674.png","1536x1536-width":1536,"1536x1536-height":674,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Label-tab-of-Review-labels-and-training-data2.png","2048x2048-width":1684,"2048x2048-height":739,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Label-tab-of-Review-labels-and-training-data2-826x362.png","card_image-width":826,"card_image-height":362,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Label-tab-of-Review-labels-and-training-data2.png","wide_image-width":1684,"wide_image-height":739}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h3>Automated review of labels<\/h3>\n<p>However, manual review may not be feasible for large datasets. To speed up the process, the new tools on the\u202f<a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/help\/analysis\/image-analyst\/review-labels-and-training-data.htm#GUID-5D2F0E9B-F704-4730-9907-3AB963AB7FCA\" target=\"_blank\" rel=\"noopener\"><strong>Auto-Review<\/strong><\/a>\u202ftab quickly assess label quality by comparing them against small ground truth samples.<\/p>\n<ul>\n<li><strong>Object Detection<\/strong>\u202f\u2014Provides essential accuracy metrics such as Common Objects in Context (COCO), mean Average Precision (mAP), and a Precision x Recall curve. The tool uses the Intersection over Union (IoU) ratio to identify and count true\/false positives\/negatives and generates a detailed quality report.<\/li>\n<li><strong>Pixel Classification<\/strong>\u2014Computes a confusion matrix based on errors of omission (false negatives, where a pixel that should have been classified as a class is missed) and errors of commission (false positives, where a pixel is incorrectly classified as belonging to a class when it does not), along with the IoU score. This process directly compares the results of your trained model against the ground truth reference data.<\/li>\n<\/ul>\n"},{"acf_fc_layout":"image","image":{"ID":2948836,"id":2948836,"title":"Auto-Review tab: Review labels and training data","filename":"Auto-Review-tab-of-Review-labels-and-training-data3-1.png","filesize":220587,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Auto-Review-tab-of-Review-labels-and-training-data3-1.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/geoai\/whats-new-for-geoai-in-the-arcgis-pro-3-6-image-analyst-extension\/auto-review-tab-of-review-labels-and-training-data3-2","alt":"Auto-Review tab: Review labels and training data","author":"254042","description":"Auto-Review tab: Review labels and training data","caption":"Auto-Review tab: Review labels and training data","name":"auto-review-tab-of-review-labels-and-training-data3-2","status":"inherit","uploaded_to":2945812,"date":"2025-11-17 20:17:07","modified":"2025-11-17 20:17:19","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":1681,"height":655,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Auto-Review-tab-of-Review-labels-and-training-data3-1-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Auto-Review-tab-of-Review-labels-and-training-data3-1.png","medium-width":464,"medium-height":181,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Auto-Review-tab-of-Review-labels-and-training-data3-1.png","medium_large-width":768,"medium_large-height":299,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Auto-Review-tab-of-Review-labels-and-training-data3-1.png","large-width":1681,"large-height":655,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Auto-Review-tab-of-Review-labels-and-training-data3-1-1536x599.png","1536x1536-width":1536,"1536x1536-height":599,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Auto-Review-tab-of-Review-labels-and-training-data3-1.png","2048x2048-width":1681,"2048x2048-height":655,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Auto-Review-tab-of-Review-labels-and-training-data3-1-826x322.png","card_image-width":826,"card_image-height":322,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Auto-Review-tab-of-Review-labels-and-training-data3-1.png","wide_image-width":1681,"wide_image-height":655}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h3>Training data review<\/h3>\n<p data-pm-slice=\"1 1 []\">The <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/help\/analysis\/image-analyst\/review-labels-and-training-data.htm#GUID-31D9A0DE-D6C7-427B-82D9-8E172C805230\" target=\"_blank\" rel=\"noopener\"><strong>Data\u202f<\/strong><\/a> tab offers a quick visual QA review of your exported image chips. The main gallery shows image chips with class names with bounding boxes. Selecting a thumbnail displays it at full size for detailed inspection. This allows reviewers to quickly check for common issues such as incorrect chip size, missing or partial labels, or a lack of overlap. To help you review the image chips and labels more efficiently, the Data tab includes filtering, playback, and navigation controls that allow you to quickly screen the exported data.\u202f(Note: This visual tool currently only supports object detection training data.)<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2949137,"id":2949137,"title":"Data tab: Review labels and training data","filename":"Data-tab-of-Review-labels-and-training-data5.png","filesize":691204,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Data-tab-of-Review-labels-and-training-data5.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/geoai\/whats-new-for-geoai-in-the-arcgis-pro-3-6-image-analyst-extension\/data-tab-of-review-labels-and-training-data5","alt":"Data tab: Review labels and training data","author":"254042","description":"Data tab: Review labels and training data","caption":"Data tab: Review labels and training data","name":"data-tab-of-review-labels-and-training-data5","status":"inherit","uploaded_to":2945812,"date":"2025-11-18 18:21:30","modified":"2025-11-18 18:21:40","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":931,"height":866,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Data-tab-of-Review-labels-and-training-data5-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Data-tab-of-Review-labels-and-training-data5.png","medium-width":281,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Data-tab-of-Review-labels-and-training-data5.png","medium_large-width":768,"medium_large-height":714,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Data-tab-of-Review-labels-and-training-data5.png","large-width":931,"large-height":866,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Data-tab-of-Review-labels-and-training-data5.png","1536x1536-width":931,"1536x1536-height":866,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Data-tab-of-Review-labels-and-training-data5.png","2048x2048-width":931,"2048x2048-height":866,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Data-tab-of-Review-labels-and-training-data5-500x465.png","card_image-width":500,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/11\/Data-tab-of-Review-labels-and-training-data5.png","wide_image-width":931,"wide_image-height":866}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h2>New Transform Image Shapes tool<\/h2>\n<p data-pm-slice=\"1 1 []\">Now in ArcGIS Pro, we\u2019re giving you direct control over the geometry of your deep learning output. The <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/tool-reference\/image-analyst\/transform-image-shapes.htm\" target=\"_blank\" rel=\"noopener\">Transform Image Shapes tool<\/a> converts feature geometries between Image Space (the sensor perspective) and Map Space (the standard ground coordinate system).\u202fThis is important for workflows involving oblique imagery or complex distortions. This tool ensures features detected in the raw image space are correctly placed and measured on the map after rectification. Ultimately, this guarantees the highest geometric accuracy for your final analysis.<\/p>\n<h2>Enhanced Grad-CAM<\/h2>\n<p>The <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/tool-reference\/image-analyst\/classify-objects-using-deep-learning.htm\" target=\"_blank\" rel=\"noopener\">Grad-CAM<\/a> feature for Object Classification was introduced at the version <a href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/geoai\/whats-new-for-geoai-in-the-image-analyst-extension-of-arcgis-pro-3-5\" target=\"_blank\" rel=\"noopener\">3.5 release<\/a>, to highlight influential pixels for a single class. This functionality has been extended to now support multi-label classification.<\/p>\n<p>Now, when classifying features into multiple categories, the tool generates multiple attachments in the output feature class\u2014one attachment for each predicted label. This capability gives you detailed insight by showing the specific pixel regions that influenced the model\u2019s decision for\u202fevery individual class, dramatically increasing the interpretability of complex multi-label classification results.<\/p>\n<h2>Enhanced Auto Detect with multi-click<\/h2>\n<p data-pm-slice=\"1 1 []\">We enhanced the existing <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/help\/analysis\/image-analyst\/label-objects-for-deep-learning.htm#ESRI_SECTION1_A19B59DE8AD9484289E6FF1A9345EA43\" target=\"_blank\" rel=\"noopener\">Auto Detect<\/a> specifically for complex features. It now supports multi-click workflows for labeling structures, such as complex buildings or trees. You no longer rely on a single click. Instead, you provide the tool with multiple reference points, which allows it to integrate your input and generate a more accurate object boundary for complex shapes and objects.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2945815,"id":2945815,"title":"Shows a complex shape created with the multi click Auto Detect option.","filename":"multi-click-auto-detect.png","filesize":694915,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/multi-click-auto-detect.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/geoai\/whats-new-for-geoai-in-the-arcgis-pro-3-6-image-analyst-extension\/multi-click-auto-detect","alt":"Shows a complex shape created with the multi click Auto Detect option.","author":"254042","description":"Shows a complex shape created with the multi click Auto Detect option.","caption":"Shows a complex shape created with the multi click Auto Detect option.","name":"multi-click-auto-detect","status":"inherit","uploaded_to":2945812,"date":"2025-10-28 15:34:56","modified":"2025-10-28 15:35:06","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":624,"height":396,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/multi-click-auto-detect-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/multi-click-auto-detect.png","medium-width":411,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/multi-click-auto-detect.png","medium_large-width":624,"medium_large-height":396,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/multi-click-auto-detect.png","large-width":624,"large-height":396,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/multi-click-auto-detect.png","1536x1536-width":624,"1536x1536-height":396,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/multi-click-auto-detect.png","2048x2048-width":624,"2048x2048-height":396,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/multi-click-auto-detect.png","card_image-width":624,"card_image-height":396,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/multi-click-auto-detect.png","wide_image-width":624,"wide_image-height":396}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h2>New backend Deep Learning readiness check<\/h2>\n<p data-pm-slice=\"1 1 []\">Ensuring your <a href=\"https:\/\/github.com\/Esri\/deep-learning-frameworks\" target=\"_blank\" rel=\"noopener\">Deep Learning<\/a> environment is set up correctly is also crucial. We\u2019ve included a simpler way to verify your setup: a new function that allows the backend to report whether your ArcGIS Pro Python environment is ready for deep learning workflows. This is a fast, definitive check that confirms that the necessary libraries are correctly configured and accessible to ArcGIS Pro.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2948865,"id":2948865,"title":"Shows the Deep Learning Ready icon, confirming dependencies are installed","filename":"dl-pm-e1763415307759.png","filesize":17725,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/dl-pm-e1763415307759.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/geoai\/whats-new-for-geoai-in-the-arcgis-pro-3-6-image-analyst-extension\/dl-pm","alt":"Shows the Deep Learning Ready icon, confirming dependencies are installed","author":"254042","description":"Shows the Deep Learning Ready icon, confirming dependencies are installed","caption":"Shows the Deep Learning Ready icon, confirming dependencies are installed","name":"dl-pm","status":"inherit","uploaded_to":2945812,"date":"2025-11-17 21:04:56","modified":"2025-11-17 21:07:29","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":600,"height":343,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/dl-pm-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/dl-pm-e1763415307759.png","medium-width":457,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/dl-pm-e1763415307759.png","medium_large-width":600,"medium_large-height":343,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/dl-pm-e1763415307759.png","large-width":600,"large-height":343,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/dl-pm-e1763415307759.png","1536x1536-width":600,"1536x1536-height":343,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/dl-pm-e1763415307759.png","2048x2048-width":600,"2048x2048-height":343,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/dl-pm-814x465.png","card_image-width":814,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/dl-pm-e1763415307759.png","wide_image-width":600,"wide_image-height":343}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h2>New 3D-RCNet model type support<\/h2>\n<p data-pm-slice=\"1 1 []\">Hyperspectral Imaging (HSI) data enables the precise identification of materials based on their unique spectral signatures. Therefore, we are introducing the Hyperspectral3DRCNet (<a href=\"https:\/\/arxiv.org\/abs\/2408.13728\" target=\"_blank\" rel=\"noopener\">3D-RCNet<\/a>) model in ArcGIS.\u202fThis specialized deep learning model type delivers high-accuracy classification of complex HSI data, which is essential for advanced remote sensing applications. It uses an architecture that efficiently merges the strengths of 3D Convolutional Neural Networks (ConvNets) and Vision Transformers. It embeds the Transformer\u2019s powerful self-attention mechanism into a novel 3D relational convolutional operation, ensuring superior performance and computational efficiency.<\/p>\n"},{"acf_fc_layout":"content","content":"<h2>Wrap-up<\/h2>\n<p data-pm-slice=\"1 1 []\"><span class=\"TextRun SCXW264636796 BCX8\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW264636796 BCX8\">ArcGIS Pro 3.6 focuses on improving your <\/span><span class=\"NormalTextRun SpellingErrorV2Themed SCXW264636796 BCX8\">GeoAI<\/span><span class=\"NormalTextRun SCXW264636796 BCX8\"> workflow quality<\/span><span class=\"NormalTextRun SCXW264636796 BCX8\">\u2014<\/span><span class=\"NormalTextRun ContextualSpellingAndGrammarErrorV2Themed SCXW264636796 BCX8\">from training data validation<\/span><span class=\"NormalTextRun ContextualSpellingAndGrammarErrorV2Themed SCXW264636796 BCX8\">,<\/span><span class=\"NormalTextRun SCXW264636796 BCX8\"> to model interpretability<\/span><span class=\"NormalTextRun SCXW264636796 BCX8\">,<\/span><span class=\"NormalTextRun SCXW264636796 BCX8\"> and advanced classification. We <\/span><span class=\"NormalTextRun SCXW264636796 BCX8\">can\u2019t<\/span><span class=\"NormalTextRun SCXW264636796 BCX8\"> wait to see the powerful <\/span><span class=\"NormalTextRun SpellingErrorV2Themed SCXW264636796 BCX8\">GeoAI<\/span><span class=\"NormalTextRun SCXW264636796 BCX8\"> applications you build with these expanded capabilities<\/span><span class=\"NormalTextRun SCXW264636796 BCX8\">.<\/span><\/span><span class=\"EOP SCXW264636796 BCX8\" data-ccp-props=\"{}\">\u00a0<\/span><\/p>\n"}],"show_article_image":true,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/10\/Shinmoe-dakeVolcanoJapan_card.jpg","wide_image":false,"authors":[{"ID":254042,"user_firstname":"Pavan","user_lastname":"Yadav","nickname":"Pavan Yadav","user_nicename":"pyadav","display_name":"Pavan Yadav","user_email":"PYadav@esri.com","user_url":"","user_registered":"2021-07-20 16:55:01","user_description":"Pavan Yadav is a Senior Software Product Engineer at Esri's Imagery team, leveraging AI to extract valuable insights from imagery data and contributing to the development of geospatial AI (GeoAI).","user_avatar":"<img data-del=\"avatar\" src='https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/12\/Pavan-Yadav-213x200.jpg' class='avatar pp-user-avatar avatar-96 photo ' height='96' width='96'\/>"}],"related_articles":[{"ID":2776112,"post_author":"254042","post_date":"2025-05-13 10:00:01","post_date_gmt":"2025-05-13 17:00:01","post_content":"","post_title":"What's new for GeoAI in the ArcGIS Pro 3.5 Image Analyst extension","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"whats-new-for-geoai-in-the-image-analyst-extension-of-arcgis-pro-3-5","to_ping":"","pinged":"","post_modified":"2025-05-13 10:55:15","post_modified_gmt":"2025-05-13 17:55:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=2776112","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":2585592,"post_author":"254042","post_date":"2024-11-19 00:01:50","post_date_gmt":"2024-11-19 08:01:50","post_content":"","post_title":"What's new for GeoAI in the Image Analyst extension of ArcGIS Pro 3.4","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"whats-new-for-geoai-in-the-image-analyst-extension-of-arcgis-pro-3-4","to_ping":"","pinged":"","post_modified":"2024-11-19 01:38:39","post_modified_gmt":"2024-11-19 09:38:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=2585592","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"2","filter":"raw"},{"ID":2318532,"post_author":"254042","post_date":"2024-05-09 00:01:49","post_date_gmt":"2024-05-09 07:01:49","post_content":"","post_title":"What's new for GeoAI in the Image Analyst extension of ArcGIS Pro 3.3","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"whats-new-for-geoai-in-the-image-analyst-extension-of-arcgis-pro-3-3","to_ping":"","pinged":"","post_modified":"2024-05-14 11:12:58","post_modified_gmt":"2024-05-14 18:12:58","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=2318532","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":2090062,"post_author":"254042","post_date":"2023-11-14 00:00:09","post_date_gmt":"2023-11-14 08:00:09","post_content":"","post_title":"Deep Learning for Image Analyst \u2013 What\u2019s New in ArcGIS Pro 3.2","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"deep-learning-for-image-analyst-whats-new-in-arcgis-pro-3-2","to_ping":"","pinged":"","post_modified":"2023-12-04 15:24:43","post_modified_gmt":"2023-12-04 23:24:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=2090062","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":1302112,"post_author":"178852","post_date":"2021-08-02 11:56:22","post_date_gmt":"2021-08-02 18:56:22","post_content":"","post_title":"Performing Feature Extraction &amp; Classification Using Deep Learning with ArcGIS Pro","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"performing-feature-extraction-classification-using-deep-learning-with-arcgis-pro","to_ping":"","pinged":"","post_modified":"2022-08-25 13:59:34","post_modified_gmt":"2022-08-25 20:59:34","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=1302112","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"1","filter":"raw"},{"ID":1319782,"post_author":"254042","post_date":"2021-08-23 17:33:26","post_date_gmt":"2021-08-24 00:33:26","post_content":"","post_title":"Colorizing Historic Black and White Aerial Imagery using Deep Learning","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"colorizing-historic-black-and-white-aerial-imagery-using-deep-learning","to_ping":"","pinged":"","post_modified":"2022-01-13 15:04:59","post_modified_gmt":"2022-01-13 23:04:59","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=1319782","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"}]},"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>GeoAI in ArcGIS Pro 3.6 Image Analyst<\/title>\n<meta name=\"description\" content=\"Imagery GeoAI in ArcGIS Pro 3.6: training data review; Transform Image Shapes; explainable ai, 3D-RCNet model\" \/>\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\/geoai\/whats-new-for-geoai-in-the-arcgis-pro-3-6-image-analyst-extension\" \/>\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 for GeoAI in the ArcGIS Pro 3.6 Image Analyst Extension\" \/>\n<meta property=\"og:description\" content=\"Imagery GeoAI in ArcGIS Pro 3.6: training data review; Transform Image Shapes; explainable ai, 3D-RCNet model\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/geoai\/whats-new-for-geoai-in-the-arcgis-pro-3-6-image-analyst-extension\" \/>\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=\"2025-12-22T21:44:27+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\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":[\"Article\",\"BlogPosting\"],\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/geoai\/whats-new-for-geoai-in-the-arcgis-pro-3-6-image-analyst-extension#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/geoai\/whats-new-for-geoai-in-the-arcgis-pro-3-6-image-analyst-extension\"},\"author\":{\"name\":\"Pavan Yadav\",\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/#\/schema\/person\/17827d4b26faea91d7d4c478ab8e5333\"},\"headline\":\"What&#8217;s New for GeoAI in the ArcGIS Pro 3.6 Image Analyst Extension\",\"datePublished\":\"2025-11-18T17:45:06+00:00\",\"dateModified\":\"2025-12-22T21:44:27+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/geoai\/whats-new-for-geoai-in-the-arcgis-pro-3-6-image-analyst-extension\"},\"wordCount\":12,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/#organization\"},\"keywords\":[\"arcgis pro 3.6\",\"deep learning\",\"geoAI\",\"imagery &amp; remote sensing\",\"What's new in ArcGIS Pro\"],\"articleSection\":[\"AI\",\"Imagery &amp; Remote Sensing\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/geoai\/whats-new-for-geoai-in-the-arcgis-pro-3-6-image-analyst-extension#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/geoai\/whats-new-for-geoai-in-the-arcgis-pro-3-6-image-analyst-extension\",\"url\":\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/geoai\/whats-new-for-geoai-in-the-arcgis-pro-3-6-image-analyst-extension\",\"name\":\"GeoAI in ArcGIS Pro 3.6 Image Analyst\",\"isPartOf\":{\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/#website\"},\"datePublished\":\"2025-11-18T17:45:06+00:00\",\"dateModified\":\"2025-12-22T21:44:27+00:00\",\"description\":\"Imagery GeoAI in ArcGIS Pro 3.6: training data review; Transform Image Shapes; explainable ai, 3D-RCNet model\",\"breadcrumb\":{\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/geoai\/whats-new-for-geoai-in-the-arcgis-pro-3-6-image-analyst-extension#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/geoai\/whats-new-for-geoai-in-the-arcgis-pro-3-6-image-analyst-extension\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/geoai\/whats-new-for-geoai-in-the-arcgis-pro-3-6-image-analyst-extension#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.esri.com\/arcgis-blog\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"What&#8217;s New for GeoAI in the ArcGIS Pro 3.6 Image Analyst Extension\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/#website\",\"url\":\"https:\/\/www.esri.com\/arcgis-blog\/\",\"name\":\"ArcGIS Blog\",\"description\":\"Get insider info from Esri product teams\",\"publisher\":{\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.esri.com\/arcgis-blog\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/#organization\",\"name\":\"Esri\",\"url\":\"https:\/\/www.esri.com\/arcgis-blog\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/Esri.png\",\"contentUrl\":\"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/Esri.png\",\"width\":400,\"height\":400,\"caption\":\"Esri\"},\"image\":{\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/esrigis\/\",\"https:\/\/x.com\/ESRI\",\"https:\/\/www.linkedin.com\/company\/5311\/\"]},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/#\/schema\/person\/17827d4b26faea91d7d4c478ab8e5333\",\"name\":\"Pavan Yadav\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/12\/Pavan-Yadav-213x200.jpg\",\"contentUrl\":\"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/12\/Pavan-Yadav-213x200.jpg\",\"caption\":\"Pavan Yadav\"},\"description\":\"Pavan Yadav is a Senior Software Product Engineer at Esri's Imagery team, leveraging AI to extract valuable insights from imagery data and contributing to the development of geospatial AI (GeoAI).\",\"sameAs\":[\"https:\/\/www.linkedin.com\/in\/pavan-yadav-1846606\/\"],\"url\":\"https:\/\/www.esri.com\/arcgis-blog\/author\/pyadav\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"GeoAI in ArcGIS Pro 3.6 Image Analyst","description":"Imagery GeoAI in ArcGIS Pro 3.6: training data review; Transform Image Shapes; explainable ai, 3D-RCNet model","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/geoai\/whats-new-for-geoai-in-the-arcgis-pro-3-6-image-analyst-extension","og_locale":"en_US","og_type":"article","og_title":"What's New for GeoAI in the ArcGIS Pro 3.6 Image Analyst Extension","og_description":"Imagery GeoAI in ArcGIS Pro 3.6: training data review; Transform Image Shapes; explainable ai, 3D-RCNet model","og_url":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/geoai\/whats-new-for-geoai-in-the-arcgis-pro-3-6-image-analyst-extension","og_site_name":"ArcGIS Blog","article_publisher":"https:\/\/www.facebook.com\/esrigis\/","article_modified_time":"2025-12-22T21:44:27+00:00","twitter_card":"summary_large_image","twitter_site":"@ESRI","twitter_misc":{"Est. reading time":"6 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":["Article","BlogPosting"],"@id":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/geoai\/whats-new-for-geoai-in-the-arcgis-pro-3-6-image-analyst-extension#article","isPartOf":{"@id":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/geoai\/whats-new-for-geoai-in-the-arcgis-pro-3-6-image-analyst-extension"},"author":{"name":"Pavan Yadav","@id":"https:\/\/www.esri.com\/arcgis-blog\/#\/schema\/person\/17827d4b26faea91d7d4c478ab8e5333"},"headline":"What&#8217;s New for GeoAI in the ArcGIS Pro 3.6 Image Analyst Extension","datePublished":"2025-11-18T17:45:06+00:00","dateModified":"2025-12-22T21:44:27+00:00","mainEntityOfPage":{"@id":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/geoai\/whats-new-for-geoai-in-the-arcgis-pro-3-6-image-analyst-extension"},"wordCount":12,"commentCount":0,"publisher":{"@id":"https:\/\/www.esri.com\/arcgis-blog\/#organization"},"keywords":["arcgis pro 3.6","deep learning","geoAI","imagery &amp; remote sensing","What's new in ArcGIS Pro"],"articleSection":["AI","Imagery &amp; Remote Sensing"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/geoai\/whats-new-for-geoai-in-the-arcgis-pro-3-6-image-analyst-extension#respond"]}]},{"@type":"WebPage","@id":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/geoai\/whats-new-for-geoai-in-the-arcgis-pro-3-6-image-analyst-extension","url":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/geoai\/whats-new-for-geoai-in-the-arcgis-pro-3-6-image-analyst-extension","name":"GeoAI in ArcGIS Pro 3.6 Image Analyst","isPartOf":{"@id":"https:\/\/www.esri.com\/arcgis-blog\/#website"},"datePublished":"2025-11-18T17:45:06+00:00","dateModified":"2025-12-22T21:44:27+00:00","description":"Imagery GeoAI in ArcGIS Pro 3.6: training data review; Transform Image Shapes; explainable ai, 3D-RCNet model","breadcrumb":{"@id":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/geoai\/whats-new-for-geoai-in-the-arcgis-pro-3-6-image-analyst-extension#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/geoai\/whats-new-for-geoai-in-the-arcgis-pro-3-6-image-analyst-extension"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/geoai\/whats-new-for-geoai-in-the-arcgis-pro-3-6-image-analyst-extension#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.esri.com\/arcgis-blog\/"},{"@type":"ListItem","position":2,"name":"What&#8217;s New for GeoAI in the ArcGIS Pro 3.6 Image Analyst Extension"}]},{"@type":"WebSite","@id":"https:\/\/www.esri.com\/arcgis-blog\/#website","url":"https:\/\/www.esri.com\/arcgis-blog\/","name":"ArcGIS Blog","description":"Get insider info from Esri product teams","publisher":{"@id":"https:\/\/www.esri.com\/arcgis-blog\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.esri.com\/arcgis-blog\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/www.esri.com\/arcgis-blog\/#organization","name":"Esri","url":"https:\/\/www.esri.com\/arcgis-blog\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.esri.com\/arcgis-blog\/#\/schema\/logo\/image\/","url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/Esri.png","contentUrl":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2018\/04\/Esri.png","width":400,"height":400,"caption":"Esri"},"image":{"@id":"https:\/\/www.esri.com\/arcgis-blog\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/esrigis\/","https:\/\/x.com\/ESRI","https:\/\/www.linkedin.com\/company\/5311\/"]},{"@type":"Person","@id":"https:\/\/www.esri.com\/arcgis-blog\/#\/schema\/person\/17827d4b26faea91d7d4c478ab8e5333","name":"Pavan Yadav","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.esri.com\/arcgis-blog\/#\/schema\/person\/image\/","url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/12\/Pavan-Yadav-213x200.jpg","contentUrl":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2023\/12\/Pavan-Yadav-213x200.jpg","caption":"Pavan Yadav"},"description":"Pavan Yadav is a Senior Software Product Engineer at Esri's Imagery team, leveraging AI to extract valuable insights from imagery data and contributing to the development of geospatial AI (GeoAI).","sameAs":["https:\/\/www.linkedin.com\/in\/pavan-yadav-1846606\/"],"url":"https:\/\/www.esri.com\/arcgis-blog\/author\/pyadav"}]}},"text_date":"November 18, 2025","author_name":"Pavan Yadav","author_page":"https:\/\/www.esri.com\/arcgis-blog\/author\/pyadav","custom_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2025\/08\/Newsroom-Keyart-Wide-1920-x-1080.jpg","primary_product":"ArcGIS Pro","tag_data":[{"term_id":780835,"name":"arcgis pro 3.6","slug":"arcgis-pro-3-6","term_group":0,"term_taxonomy_id":780835,"taxonomy":"post_tag","description":"","parent":0,"count":12,"filter":"raw"},{"term_id":186132,"name":"deep learning","slug":"deep-learning","term_group":0,"term_taxonomy_id":186132,"taxonomy":"post_tag","description":"","parent":0,"count":65,"filter":"raw"},{"term_id":665211,"name":"geoAI","slug":"geoai","term_group":0,"term_taxonomy_id":665211,"taxonomy":"post_tag","description":"","parent":0,"count":36,"filter":"raw"},{"term_id":768962,"name":"imagery &amp; remote sensing","slug":"imagery-remote-sensing","term_group":0,"term_taxonomy_id":768962,"taxonomy":"post_tag","description":"","parent":0,"count":6,"filter":"raw"},{"term_id":777242,"name":"What's new in ArcGIS Pro","slug":"whats-new-in-arcgis-pro","term_group":0,"term_taxonomy_id":777242,"taxonomy":"post_tag","description":"","parent":0,"count":2,"filter":"raw"}],"category_data":[{"term_id":770712,"name":"AI","slug":"geoai","term_group":0,"term_taxonomy_id":770712,"taxonomy":"category","description":"","parent":0,"count":51,"filter":"raw"},{"term_id":22931,"name":"Imagery &amp; Remote Sensing","slug":"imagery","term_group":0,"term_taxonomy_id":22931,"taxonomy":"category","description":"","parent":0,"count":766,"filter":"raw"}],"product_data":[{"term_id":36561,"name":"ArcGIS Pro","slug":"arcgis-pro","term_group":0,"term_taxonomy_id":36561,"taxonomy":"product","description":"","parent":0,"count":2036,"filter":"raw"}],"primary_product_link":"https:\/\/www.esri.com\/arcgis-blog\/?s=#&products=arcgis-pro","_links":{"self":[{"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/blog\/2945812","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/blog"}],"about":[{"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/types\/blog"}],"author":[{"embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/users\/254042"}],"replies":[{"embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/comments?post=2945812"}],"version-history":[{"count":0,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/blog\/2945812\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/media?parent=2945812"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/categories?post=2945812"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/tags?post=2945812"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/industry?post=2945812"},{"taxonomy":"product","embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/product?post=2945812"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}