{"id":2213812,"date":"2024-01-02T15:12:19","date_gmt":"2024-01-02T23:12:19","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=2213812"},"modified":"2024-01-03T10:30:25","modified_gmt":"2024-01-03T18:30:25","slug":"create-image-cubes","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/create-image-cubes","title":{"rendered":"Create Image Cubes from STAC-Enabled Datasets using ArcGIS"},"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":[23341,22931,22771],"tags":[432762,25041,25431,537362,773212],"industry":[],"product":[36561],"class_list":["post-2213812","blog","type-blog","status-publish","format-standard","hentry","category-analytics","category-imagery","category-natural-resources","tag-image-analyst","tag-landsat","tag-multidimensional-dataset","tag-raster-function","tag-stac","product-arcgis-pro"],"acf":{"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/cube_banner_small.png","wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/cube_banner_large.png","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":"<img data-del=\"avatar\" src='https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/08\/hong_photo-213x200.jpg' class='avatar pp-user-avatar avatar-96 photo ' height='96' width='96'\/>"}],"short_description":"Learn how to create cloud free image cubes from imagery in the cloud using STAC","flexible_content":[{"acf_fc_layout":"content","content":"<p>When conducting analysis using imagery over a large area and an extended period, the initial step always involves aggregating the data into either an image composite or an image cube with a specified time interval. The support of STAC in ArcGIS Pro 3.2 facilitates working with various STAC-compliant datasets in the cloud, such as the open datasets in AWS or Microsoft Planetary Computer. To optimize the process, you can create a virtual machine in the cloud close to these datasets for direct access and process. If you plan to use data on the Microsoft Planetary Computer, refer to the <a href=\"https:\/\/doc.arcgis.com\/en\/microsoft-planetary-computer\/latest\/help\/get-started-with-arcgis-for-microsoft-planetary-computer.htm\">AMPC solution<\/a>. This blog guides you through the end-to-end process of creating cloud-free image cubes from STAC-enabled open datasets in the cloud. If you already have the data on your machine, you can skip the first two steps and start from step 3.<\/p>\n<h1>Step 1: Create a STAC connection file<\/h1>\n<p>Use the STAC Connection wizard to create the STAC connection file by providing the STAC API and the cloud store connections to the datasets within the STAC collection. In this blog, <a href=\"https:\/\/earth-search.aws.element84.com\/v1\/\">this STAC API<\/a> was used to access USGS\u2019s Landsat Collection 2 datasets in AWS, as illustrated below:<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2213822,"id":2213822,"title":"cube_fig1_STAC","filename":"cube_fig1_STAC.png","filesize":104573,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/cube_fig1_STAC.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/create-image-cubes\/cube_fig1_stac","alt":"STAC connection wizard","author":"10352","description":"","caption":"","name":"cube_fig1_stac","status":"inherit","uploaded_to":2213812,"date":"2024-01-02 05:13:25","modified":"2024-01-02 05:13:47","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":268,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/cube_fig1_STAC-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/cube_fig1_STAC.png","medium-width":464,"medium-height":207,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/cube_fig1_STAC.png","medium_large-width":600,"medium_large-height":268,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/cube_fig1_STAC.png","large-width":600,"large-height":268,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/cube_fig1_STAC.png","1536x1536-width":600,"1536x1536-height":268,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/cube_fig1_STAC.png","2048x2048-width":600,"2048x2048-height":268,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/cube_fig1_STAC.png","card_image-width":600,"card_image-height":268,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/cube_fig1_STAC.png","wide_image-width":600,"wide_image-height":268}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>Notes:<\/p>\n<ul>\n<li>The cloud store connection file to the Landsat 2 collection was created using the <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/tool-reference\/data-management\/create-cloud-storage-connection-file.htm\">Create Cloud Store Connection tool<\/a>.<\/li>\n<li>If you use <a href=\"https:\/\/doc.arcgis.com\/en\/microsoft-planetary-computer\/latest\/help\/get-started-with-arcgis-for-microsoft-planetary-computer.htm\">AMPC<\/a> , you don\u2019t have to create connection files as connection files to all datasets are provided with the setup.<\/li>\n<\/ul>\n<h1>Step 2: Search STAC items<\/h1>\n<p>Launch the Search STAC item pane from STAC connection file. Here you can define your search criteria including time, extent, and attribute. In this example we set a time range from 5\/15\/2022 to 10\/15\/2022, defined an extent using Oregon state boundary, and applied attribute filter for cloud cover less than 30%. For the details on using STAC in ArcGIS Pro, you can refer to <a href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/introduction-to-the-stac-ui-in-arcgis-pro\/\">this blog<\/a>.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2213832,"id":2213832,"title":"Cube_fig2_search","filename":"Cube_fig2_search.png","filesize":66417,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig2_search.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/create-image-cubes\/cube_fig2_search","alt":"Search dialog","author":"10352","description":"","caption":"","name":"cube_fig2_search","status":"inherit","uploaded_to":2213812,"date":"2024-01-02 05:15:20","modified":"2024-01-02 05:15:33","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":280,"height":497,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig2_search-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig2_search.png","medium-width":147,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig2_search.png","medium_large-width":280,"medium_large-height":497,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig2_search.png","large-width":280,"large-height":497,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig2_search.png","1536x1536-width":280,"1536x1536-height":497,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig2_search.png","2048x2048-width":280,"2048x2048-height":497,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig2_search-262x465.png","card_image-width":262,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig2_search.png","wide_image-width":280,"wide_image-height":497}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h1>Step 3: create a mosaic dataset<\/h1>\n<p>To generate a mosaic dataset from the search result, choose the &#8220;Add Mosaic Dataset&#8221; option, which activates the &#8220;Add Raster to Mosaic Dataset&#8221; tool. The search result is automatically configured as the input for the tool. Next, select the Landsat 8 raster type and a Multiband template containing the surface reflectance bands along with a QA band. Repeat the same process for Landsat 9 images.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2213842,"id":2213842,"title":"Cube_fig3_createMD","filename":"Cube_fig3_createMD.png","filesize":127397,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig3_createMD.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/create-image-cubes\/cube_fig3_createmd","alt":"Create mosaic dataset dialog","author":"10352","description":"","caption":"","name":"cube_fig3_createmd","status":"inherit","uploaded_to":2213812,"date":"2024-01-02 05:16:26","modified":"2024-01-02 05:17:01","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":500,"height":424,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig3_createMD-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig3_createMD.png","medium-width":308,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig3_createMD.png","medium_large-width":500,"medium_large-height":424,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig3_createMD.png","large-width":500,"large-height":424,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig3_createMD.png","1536x1536-width":500,"1536x1536-height":424,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig3_createMD.png","2048x2048-width":500,"2048x2048-height":424,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig3_createMD.png","card_image-width":500,"card_image-height":424,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig3_createMD.png","wide_image-width":500,"wide_image-height":424}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>We now have a mosaic dataset containing 229 scenes.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2213862,"id":2213862,"title":"fig22_mosaic_dataset","filename":"fig22_mosaic_dataset-1.png","filesize":243953,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig22_mosaic_dataset-1.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/create-image-cubes\/fig22_mosaic_dataset-2","alt":"mosaic dataset footprints","author":"10352","description":"","caption":"","name":"fig22_mosaic_dataset-2","status":"inherit","uploaded_to":2213812,"date":"2024-01-02 05:19:18","modified":"2024-01-02 05:19:34","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":500,"height":313,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig22_mosaic_dataset-1-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig22_mosaic_dataset-1.png","medium-width":417,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig22_mosaic_dataset-1.png","medium_large-width":500,"medium_large-height":313,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig22_mosaic_dataset-1.png","large-width":500,"large-height":313,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig22_mosaic_dataset-1.png","1536x1536-width":500,"1536x1536-height":313,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig22_mosaic_dataset-1.png","2048x2048-width":500,"2048x2048-height":313,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig22_mosaic_dataset-1.png","card_image-width":500,"card_image-height":313,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig22_mosaic_dataset-1.png","wide_image-width":500,"wide_image-height":313}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>Notes:<\/p>\n<ul>\n<li>If your image data is stored locally, set the input by providing the folder path.<\/li>\n<li>For users of AMPC solution, take advantage of the provided scripting tools to streamline mosaic dataset creation.<\/li>\n<\/ul>\n<p>If you want to aggregate the images per year to create a multidimensional raster, run the Build Multidimensional Info tool to construct multidimensional information for the mosaic dataset. In this example, the \u201cAcquisitionDate\u201d field was employed as the time dimension, and the \u201cTag\u201d field was designated for the variable name.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2213852,"id":2213852,"title":"Cube_fig4_info","filename":"Cube_fig4_info.png","filesize":65770,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig4_info.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/create-image-cubes\/cube_fig4_info","alt":"Build mdinfo tool","author":"10352","description":"","caption":"","name":"cube_fig4_info","status":"inherit","uploaded_to":2213812,"date":"2024-01-02 05:17:56","modified":"2024-01-02 05:18:18","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":300,"height":380,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig4_info-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig4_info.png","medium-width":206,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig4_info.png","medium_large-width":300,"medium_large-height":380,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig4_info.png","large-width":300,"large-height":380,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig4_info.png","1536x1536-width":300,"1536x1536-height":380,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig4_info.png","2048x2048-width":300,"2048x2048-height":380,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig4_info.png","card_image-width":300,"card_image-height":380,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig4_info.png","wide_image-width":300,"wide_image-height":380}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<h1>Step 4: Define processing templates<\/h1>\n<p>Creating a cloud-free image cube from the mosaic dataset involves several processes, all of which can be defined using raster functions:<\/p>\n<ul>\n<li>A raster function template that removes clouds and shadows for each item in the mosaic dataset. For Landsat 8, the template includes extracting the QA band, creating a QA mask using the Transpose Bits function, where bit 0,1,2,3, and 4 (defined in <a href=\"https:\/\/d9-wret.s3.us-west-2.amazonaws.com\/assets\/palladium\/production\/s3fs-public\/media\/files\/LSDS-1619_Landsat-8-9-C2-L2-ScienceProductGuide-v4.pdf\">Landsat product<\/a> document) represent Fill, Dilated Cloud, Cirrus, cloud, and Cloud shadow, and then applying the mask using the Clip function.<\/li>\n<\/ul>\n"},{"acf_fc_layout":"image","image":{"ID":2213872,"id":2213872,"title":"Cube_fig5_mask","filename":"Cube_fig5_mask.png","filesize":45728,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig5_mask.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/create-image-cubes\/cube_fig5_mask","alt":"QA mask function chain","author":"10352","description":"","caption":"","name":"cube_fig5_mask","status":"inherit","uploaded_to":2213812,"date":"2024-01-02 05:21:42","modified":"2024-01-02 05:22:02","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":279,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig5_mask-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig5_mask.png","medium-width":464,"medium-height":216,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig5_mask.png","medium_large-width":600,"medium_large-height":279,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig5_mask.png","large-width":600,"large-height":279,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig5_mask.png","1536x1536-width":600,"1536x1536-height":279,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig5_mask.png","2048x2048-width":600,"2048x2048-height":279,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig5_mask.png","card_image-width":600,"card_image-height":279,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig5_mask.png","wide_image-width":600,"wide_image-height":279}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<ul>\n<li>A Geometric Median that composes overlap pixels within a specified time range. Alternatively, you can use Cell Statistics function to simply calculate a mean or a median.<\/li>\n<li>A Clip function that trims the mosaic dataset based on the area of interest, using a polygon feature class outlining the Oregon state boundary.<\/li>\n<li>A Raster Collection function that combines above three functions. Define a processing interval if creating a multidimensional raster.<\/li>\n<\/ul>\n"},{"acf_fc_layout":"image","image":{"ID":2213942,"id":2213942,"title":"Cube_fig66_RC","filename":"Cube_fig66_RC.png","filesize":80783,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig66_RC.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/create-image-cubes\/cube_fig66_rc","alt":"The function chain","author":"10352","description":"","caption":"","name":"cube_fig66_rc","status":"inherit","uploaded_to":2213812,"date":"2024-01-02 05:48:50","modified":"2024-01-02 05:49:09","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":500,"height":420,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig66_RC-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig66_RC.png","medium-width":311,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig66_RC.png","medium_large-width":500,"medium_large-height":420,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig66_RC.png","large-width":500,"large-height":420,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig66_RC.png","1536x1536-width":500,"1536x1536-height":420,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig66_RC.png","2048x2048-width":500,"2048x2048-height":420,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig66_RC.png","card_image-width":500,"card_image-height":420,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig66_RC.png","wide_image-width":500,"wide_image-height":420}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>Save this function as a function template for use in the next step.<\/p>\n<h1>Step 5: Generate the image cube<\/h1>\n<p>Use <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/tool-reference\/data-management\/generate-raster-from-raster-function.htm\">Generate Raster From Raster Function<\/a> tool to apply the aforementioned processing template to the mosaic dataset. Since the input and function parameters are defined in the processing template, no additional parameters are required other than specifying the input processing template and output CRF. Check the &#8220;Process as Multidimensional&#8221; option if creating a multidimensional raster.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2213932,"id":2213932,"title":"Cube_fig77_generate","filename":"Cube_fig77_generate.png","filesize":63475,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig77_generate.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/create-image-cubes\/cube_fig77_generate","alt":"Generate the cube","author":"10352","description":"","caption":"","name":"cube_fig77_generate","status":"inherit","uploaded_to":2213812,"date":"2024-01-02 05:47:59","modified":"2024-01-02 05:48:18","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":250,"height":428,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig77_generate-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig77_generate.png","medium-width":152,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig77_generate.png","medium_large-width":250,"medium_large-height":428,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig77_generate.png","large-width":250,"large-height":428,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig77_generate.png","1536x1536-width":250,"1536x1536-height":428,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig77_generate.png","2048x2048-width":250,"2048x2048-height":428,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig77_generate.png","card_image-width":250,"card_image-height":428,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/Cube_fig77_generate.png","wide_image-width":250,"wide_image-height":428}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>Below is the cloud free image cube created from Landsat Collection 2 data in AWS.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2214642,"id":2214642,"title":"fig3_landsat_composite","filename":"fig3_landsat_composite.png","filesize":322650,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig3_landsat_composite.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/biomass-mapping\/fig3_landsat_composite","alt":"Landsat image composite","author":"10352","description":"","caption":"","name":"fig3_landsat_composite","status":"inherit","uploaded_to":2213372,"date":"2024-01-02 19:22:27","modified":"2024-01-02 19:22:46","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":341,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig3_landsat_composite-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig3_landsat_composite.png","medium-width":459,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig3_landsat_composite.png","medium_large-width":600,"medium_large-height":341,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig3_landsat_composite.png","large-width":600,"large-height":341,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig3_landsat_composite.png","1536x1536-width":600,"1536x1536-height":341,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig3_landsat_composite.png","2048x2048-width":600,"2048x2048-height":341,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig3_landsat_composite.png","card_image-width":600,"card_image-height":341,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig3_landsat_composite.png","wide_image-width":600,"wide_image-height":341}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>We completed the entire workflow without using a single line of code. However, if you prefer Python-based approach, you can refer to the code provided in <a href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/cloud-free-image-composite\/\">this blog<\/a>.<\/p>\n<p>Check out <a href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/biomass-mapping\/\">this blog<\/a> to see how the resulted image composite gets used in the aboveground biomass prediction.<\/p>\n"}],"related_articles":[{"ID":2153712,"post_author":"10352","post_date":"2023-11-10 11:07:43","post_date_gmt":"2023-11-10 19:07:43","post_content":"","post_title":"Let\u2019s do data science V: New Multidimensional Raster Capabilities","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"lets-do-data-science-v","to_ping":"","pinged":"","post_modified":"2023-11-10 11:46:41","post_modified_gmt":"2023-11-10 19:46:41","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=2153712","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":1833172,"post_author":"10352","post_date":"2023-02-05 23:21:24","post_date_gmt":"2023-02-06 07:21:24","post_content":"","post_title":"Create a cloud-free image composite from satellite imagery","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"cloud-free-image-composite","to_ping":"","pinged":"","post_modified":"2024-01-05 15:22:58","post_modified_gmt":"2024-01-05 23:22:58","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=1833172","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":2213372,"post_author":"10352","post_date":"2024-01-02 23:13:20","post_date_gmt":"2024-01-03 07:13:20","post_content":"","post_title":"Cloud-Based Aboveground Biomass Mapping using Landsat and GEDI Data","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"biomass-mapping","to_ping":"","pinged":"","post_modified":"2024-03-15 09:43:53","post_modified_gmt":"2024-03-15 16:43:53","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=2213372","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>Create Image Cubes from STAC-Enabled Datasets using ArcGIS<\/title>\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\/create-image-cubes\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Create Image Cubes from STAC-Enabled Datasets using ArcGIS\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/create-image-cubes\" \/>\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=\"2024-01-03T18:30:25+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@ESRI\" \/>\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\/imagery\/create-image-cubes#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/create-image-cubes\"},\"author\":{\"name\":\"Hong Xu\",\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/#\/schema\/person\/156455acf61c7505fd3439aa5ec291ad\"},\"headline\":\"Create Image Cubes from STAC-Enabled Datasets using ArcGIS\",\"datePublished\":\"2024-01-02T23:12:19+00:00\",\"dateModified\":\"2024-01-03T18:30:25+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/create-image-cubes\"},\"wordCount\":8,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/#organization\"},\"keywords\":[\"Image Analyst\",\"Landsat\",\"multidimensional dataset\",\"raster function\",\"STAC\"],\"articleSection\":[\"Analytics\",\"Imagery &amp; 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