{"id":2213642,"date":"2024-01-02T13:38:21","date_gmt":"2024-01-02T21:38:21","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=2213642"},"modified":"2024-01-02T13:38:21","modified_gmt":"2024-01-02T21:38:21","slug":"ingest-gedi-data","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/ingest-gedi-data","title":{"rendered":"How to Ingest GEDI Data into 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":[22931],"tags":[770282,773202,773192,24381,450302],"industry":[],"product":[36561],"class_list":["post-2213642","blog","type-blog","status-publish","format-standard","hentry","category-imagery","tag-altimetry","tag-biomass","tag-gedi","tag-lidar","tag-remote-sensing","product-arcgis-pro"],"acf":{"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/GEDI_banner_small.png","wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/GEDI_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 a trajectory dataset from GEDI data","flexible_content":[{"acf_fc_layout":"content","content":"<p>Global Ecosystem Dynamics Investigation (<a href=\"https:\/\/gedi.umd.edu\/mission\/mission-overview\/\">GEDI<\/a>), a laser altimetry satellite launched by NASA, \u00a0produces high resolution lidar point data of the 3D structure of the earth such as canopy height and surface elevation. Data from this mission provides valuable sources for modeling and prediction of canopy height or biomass, which are important in forest management and carbon cycling studies.<\/p>\n<p>NASA offers various <a href=\"https:\/\/gedi.umd.edu\/data\/products\/\">GEDI products<\/a> from the GEDI mission, and ArcGIS supports all of its Level 2 and above products. L2A, L2B, and L4A are trajectory point data supported through the <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/3.1\/tool-reference\/data-management\/an-overview-of-trajectory-data.htm\">trajectory dataset<\/a>, \u00a0while L3 and L4B are gridded data supported through <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/help\/data\/imagery\/an-overview-of-multidimensional-raster-data.htm\">multidimensional raster<\/a>. \u00a0This blog will guide you through the process of ingesting GEDI trajectory point data into ArcGIS. The extracted point data can then be utilized as training data for <a href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/biomass-mapping\/\">biomass mapping<\/a>.<\/p>\n<h1>Where to access GEDI data?<\/h1>\n<p>GEDI data is hosted by both NASA&#8217;s LPDAAC and ORNLDAAC centers. I recommend using the <a href=\"https:\/\/search.earthdata.nasa.gov\/\">Earth Data search <\/a>\u00a0portal to access the data because it provides a user-friendly interface for defining your area or time of interest. You can download the data using the provided script or retrieve S3 paths with accessing credential for direct access in the cloud. Below are a few key steps to access the data.<\/p>\n<p>1. Login to the <a href=\"https:\/\/search.earthdata.nasa.gov\/\">Earth Data Search<\/a> portal.<\/p>\n<p>2. Search for the GEDI product with \u201cGEDI L4A\u201d as keyword, choose the GEDI L4A product, and define time and area of interest.<\/p>\n<p>3. Download data. For the search result, you can choose to download files to your machine, or save a file containing s3 paths to the selected GEDI datasets for direct cloud access.<\/p>\n<h1>Process GEDI data in ArcGIS Pro<\/h1>\n<p>The <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/help\/data\/imagery\/work-with-trajectory-data.htm\">trajectory dataset <\/a>is a data model developed in ArcGIS Pro 3.1 for managing trajectory data, with support for GEDI data type added in ArcGIS Pro 3.2. To work with GEDI data into ArcGIS Pro, you will use the <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/tool-reference\/data-management\/an-overview-of-the-trajectory-dataset-toolset.htm\">trajectory dataset tools<\/a>. Follow these steps to create a trajectory dataset from GEDI trajectory data:<\/p>\n<p><strong>Step 1<\/strong>: Create an initial trajectory dataset using the following geoprocessing tool:<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2213652,"id":2213652,"title":"fig1-create-tra","filename":"fig1-create-tra.png","filesize":36317,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig1-create-tra.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/ingest-gedi-data\/fig1-create-tra","alt":"Create trajectory dataset geoprocessing tool","author":"10352","description":"","caption":"","name":"fig1-create-tra","status":"inherit","uploaded_to":2213642,"date":"2024-01-01 23:37:18","modified":"2024-01-01 23:37:43","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":277,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig1-create-tra-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig1-create-tra.png","medium-width":283,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig1-create-tra.png","medium_large-width":300,"medium_large-height":277,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig1-create-tra.png","large-width":300,"large-height":277,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig1-create-tra.png","1536x1536-width":300,"1536x1536-height":277,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig1-create-tra.png","2048x2048-width":300,"2048x2048-height":277,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig1-create-tra.png","card_image-width":300,"card_image-height":277,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig1-create-tra.png","wide_image-width":300,"wide_image-height":277}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><strong>Step 2<\/strong>: Ingest data into the trajectory dataset using the <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/tool-reference\/data-management\/add-data-to-trajectory-dataset.htm\">Add Data to Trajectory Dataset<\/a> tool:<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2213662,"id":2213662,"title":"fig-2-adddata","filename":"fig-2-adddata.png","filesize":66946,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig-2-adddata.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/ingest-gedi-data\/fig-2-adddata","alt":"Add data to trajectory dataset","author":"10352","description":"","caption":"","name":"fig-2-adddata","status":"inherit","uploaded_to":2213642,"date":"2024-01-01 23:38:21","modified":"2024-01-01 23:38:43","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":421,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig-2-adddata-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig-2-adddata.png","medium-width":186,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig-2-adddata.png","medium_large-width":300,"medium_large-height":421,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig-2-adddata.png","large-width":300,"large-height":421,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig-2-adddata.png","1536x1536-width":300,"1536x1536-height":421,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig-2-adddata.png","2048x2048-width":300,"2048x2048-height":421,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig-2-adddata.png","card_image-width":300,"card_image-height":421,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig-2-adddata.png","wide_image-width":300,"wide_image-height":421}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<ul>\n<li>Ensure to set GEDI trajectory type properties and input data accordingly. If you work with L4A product, set the\u00a0 product filer as GEDIL4A and select Aboveground Biomass Density variable as shown below, and you can also choose all tracks or tracks of your interest.<\/li>\n<\/ul>\n"},{"acf_fc_layout":"image","image":{"ID":2213672,"id":2213672,"title":"fig-3-type","filename":"fig-3-type.png","filesize":47901,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig-3-type.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/ingest-gedi-data\/fig-3-type","alt":"trajectory data type properties","author":"10352","description":"","caption":"","name":"fig-3-type","status":"inherit","uploaded_to":2213642,"date":"2024-01-01 23:39:25","modified":"2024-01-01 23:39:58","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":403,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig-3-type-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig-3-type.png","medium-width":324,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig-3-type.png","medium_large-width":500,"medium_large-height":403,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig-3-type.png","large-width":500,"large-height":403,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig-3-type.png","1536x1536-width":500,"1536x1536-height":403,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig-3-type.png","2048x2048-width":500,"2048x2048-height":403,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig-3-type.png","card_image-width":500,"card_image-height":403,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig-3-type.png","wide_image-width":500,"wide_image-height":403}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<ul>\n<li>\u00a0For input data, set the folder path containing the downloaded files in your machine. \u00a0If you choose to access the files in AWS directly, and have downloaded the file containing the S3 paths, convert the file to an .csv file, create a <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/help\/projects\/connect-to-cloud-stores.htm\">cloud store connection<\/a> file with the provided credentials, and replace the S3 path with the path of cloud store connection file, as shown below:<\/li>\n<\/ul>\n"},{"acf_fc_layout":"image","image":{"ID":2213682,"id":2213682,"title":"fig-6-text","filename":"fig-6-text.png","filesize":23723,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig-6-text.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/ingest-gedi-data\/fig-6-text","alt":"an example of file paths","author":"10352","description":"","caption":"","name":"fig-6-text","status":"inherit","uploaded_to":2213642,"date":"2024-01-01 23:44:09","modified":"2024-01-01 23:44:39","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":84,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig-6-text-213x84.png","thumbnail-width":213,"thumbnail-height":84,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig-6-text.png","medium-width":464,"medium-height":65,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig-6-text.png","medium_large-width":600,"medium_large-height":84,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig-6-text.png","large-width":600,"large-height":84,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig-6-text.png","1536x1536-width":600,"1536x1536-height":84,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig-6-text.png","2048x2048-width":600,"2048x2048-height":84,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig-6-text.png","card_image-width":600,"card_image-height":84,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig-6-text.png","wide_image-width":600,"wide_image-height":84}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p style=\"padding-left: 40px\">Here, &#8220;earth_data_gedi.acs&#8221; is a cloud store connection file to the GEDI product in AWS.\u00a0 This csv file can then be used as input in the <a href=\"https:\/\/pro.arcgis.com\/en\/pro-app\/latest\/tool-reference\/data-management\/add-data-to-trajectory-dataset.htm\">Add Data to Trajectory Dataset<\/a> tool, creating a trajectory dataset directly references these GEDI files in AWS.<\/p>\n<p>Below is the trajectory dataset created from GEDI L4A data, where green lines represent the footprints of sensor&#8217;s trajectories.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2214952,"id":2214952,"title":"fig33-trajectory","filename":"fig33-trajectory.png","filesize":272180,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig33-trajectory.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/ingest-gedi-data\/fig33-trajectory","alt":"GEDI trajectory dataset","author":"10352","description":"","caption":"","name":"fig33-trajectory","status":"inherit","uploaded_to":2213642,"date":"2024-01-02 21:18:04","modified":"2024-01-02 21:18:27","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":216,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig33-trajectory-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig33-trajectory.png","medium-width":464,"medium-height":167,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig33-trajectory.png","medium_large-width":600,"medium_large-height":216,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig33-trajectory.png","large-width":600,"large-height":216,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig33-trajectory.png","1536x1536-width":600,"1536x1536-height":216,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig33-trajectory.png","2048x2048-width":600,"2048x2048-height":216,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig33-trajectory.png","card_image-width":600,"card_image-height":216,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig33-trajectory.png","wide_image-width":600,"wide_image-height":216}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p><strong>Step 3<\/strong>: Extract points of your area of interest<\/p>\n<p style=\"padding-left: 40px\">In addition to the footprints, a trajectory dataset also includes a point layer that references the point data in the GEDI files. You can use the Clip tool to extract the points of interest to a feature class.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2213702,"id":2213702,"title":"fig-4-clip","filename":"fig-4-clip.png","filesize":17025,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig-4-clip.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/ingest-gedi-data\/fig-4-clip","alt":"The Clip geoprocessing tool","author":"10352","description":"","caption":"","name":"fig-4-clip","status":"inherit","uploaded_to":2213642,"date":"2024-01-01 23:47:16","modified":"2024-01-01 23:47:33","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":361,"height":357,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig-4-clip-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig-4-clip.png","medium-width":264,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig-4-clip.png","medium_large-width":361,"medium_large-height":357,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig-4-clip.png","large-width":361,"large-height":357,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig-4-clip.png","1536x1536-width":361,"1536x1536-height":357,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig-4-clip.png","2048x2048-width":361,"2048x2048-height":357,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig-4-clip.png","card_image-width":361,"card_image-height":357,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig-4-clip.png","wide_image-width":361,"wide_image-height":357}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>Below is the output point feature class containing the above ground biomass variable, which can serve as ground truth data in further <a href=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/biomass-mapping\/\">biomass modeling<\/a>.<\/p>\n"},{"acf_fc_layout":"image","image":{"ID":2213712,"id":2213712,"title":"fig5-extracted-points","filename":"fig5-extracted-points.png","filesize":459738,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig5-extracted-points.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/ingest-gedi-data\/fig5-extracted-points","alt":"Biomass point data","author":"10352","description":"","caption":"","name":"fig5-extracted-points","status":"inherit","uploaded_to":2213642,"date":"2024-01-01 23:48:07","modified":"2024-01-01 23:48:31","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":499,"height":391,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig5-extracted-points-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig5-extracted-points.png","medium-width":333,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig5-extracted-points.png","medium_large-width":499,"medium_large-height":391,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig5-extracted-points.png","large-width":499,"large-height":391,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig5-extracted-points.png","1536x1536-width":499,"1536x1536-height":391,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig5-extracted-points.png","2048x2048-width":499,"2048x2048-height":391,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig5-extracted-points.png","card_image-width":499,"card_image-height":391,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/fig5-extracted-points.png","wide_image-width":499,"wide_image-height":391}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<p>The same workflow can be applied to the L2A product to extract canopy height variable or L2B product to retrieve variables such as canopy cover fraction and lead area index.<\/p>\n"}],"related_articles":[{"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"},{"ID":2213812,"post_author":"10352","post_date":"2024-01-02 15:12:19","post_date_gmt":"2024-01-02 23:12:19","post_content":"","post_title":"Create Image Cubes from STAC-Enabled Datasets using ArcGIS","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"create-image-cubes","to_ping":"","pinged":"","post_modified":"2024-01-03 10:30:25","post_modified_gmt":"2024-01-03 18:30:25","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&#038;p=2213812","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"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"}]},"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>How to Ingest GEDI Data into 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\/ingest-gedi-data\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How to Ingest GEDI Data into ArcGIS\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/ingest-gedi-data\" \/>\n<meta property=\"og:site_name\" content=\"ArcGIS Blog\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/esrigis\/\" \/>\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\/ingest-gedi-data#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/ingest-gedi-data\"},\"author\":{\"name\":\"Hong Xu\",\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/#\/schema\/person\/156455acf61c7505fd3439aa5ec291ad\"},\"headline\":\"How to Ingest GEDI Data into ArcGIS\",\"datePublished\":\"2024-01-02T21:38:21+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/ingest-gedi-data\"},\"wordCount\":7,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/#organization\"},\"keywords\":[\"Altimetry\",\"Biomass\",\"GEDI\",\"Lidar\",\"remote sensing\"],\"articleSection\":[\"Imagery &amp; Remote Sensing\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/ingest-gedi-data#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/ingest-gedi-data\",\"url\":\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/ingest-gedi-data\",\"name\":\"How to Ingest GEDI Data into ArcGIS\",\"isPartOf\":{\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/#website\"},\"datePublished\":\"2024-01-02T21:38:21+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/ingest-gedi-data#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/ingest-gedi-data\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/ingest-gedi-data#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.esri.com\/arcgis-blog\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"How to Ingest GEDI Data into ArcGIS\"}]},{\"@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\/156455acf61c7505fd3439aa5ec291ad\",\"name\":\"Hong Xu\",\"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\/2021\/08\/hong_photo-213x200.jpg\",\"contentUrl\":\"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/08\/hong_photo-213x200.jpg\",\"caption\":\"Hong Xu\"},\"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.\",\"sameAs\":[\"https:\/\/www.linkedin.com\/in\/hong-xu-984b2825\/\"],\"url\":\"https:\/\/www.esri.com\/arcgis-blog\/author\/hxu\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"How to Ingest GEDI Data into ArcGIS","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\/imagery\/ingest-gedi-data","og_locale":"en_US","og_type":"article","og_title":"How to Ingest GEDI Data into ArcGIS","og_url":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/ingest-gedi-data","og_site_name":"ArcGIS Blog","article_publisher":"https:\/\/www.facebook.com\/esrigis\/","twitter_card":"summary_large_image","twitter_site":"@ESRI","schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":["Article","BlogPosting"],"@id":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/ingest-gedi-data#article","isPartOf":{"@id":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/ingest-gedi-data"},"author":{"name":"Hong Xu","@id":"https:\/\/www.esri.com\/arcgis-blog\/#\/schema\/person\/156455acf61c7505fd3439aa5ec291ad"},"headline":"How to Ingest GEDI Data into ArcGIS","datePublished":"2024-01-02T21:38:21+00:00","mainEntityOfPage":{"@id":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/ingest-gedi-data"},"wordCount":7,"commentCount":0,"publisher":{"@id":"https:\/\/www.esri.com\/arcgis-blog\/#organization"},"keywords":["Altimetry","Biomass","GEDI","Lidar","remote sensing"],"articleSection":["Imagery &amp; Remote Sensing"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/ingest-gedi-data#respond"]}]},{"@type":"WebPage","@id":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/ingest-gedi-data","url":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/ingest-gedi-data","name":"How to Ingest GEDI Data into ArcGIS","isPartOf":{"@id":"https:\/\/www.esri.com\/arcgis-blog\/#website"},"datePublished":"2024-01-02T21:38:21+00:00","breadcrumb":{"@id":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/ingest-gedi-data#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/ingest-gedi-data"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/ingest-gedi-data#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.esri.com\/arcgis-blog\/"},{"@type":"ListItem","position":2,"name":"How to Ingest GEDI Data into ArcGIS"}]},{"@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\/156455acf61c7505fd3439aa5ec291ad","name":"Hong Xu","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\/2021\/08\/hong_photo-213x200.jpg","contentUrl":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2021\/08\/hong_photo-213x200.jpg","caption":"Hong Xu"},"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.","sameAs":["https:\/\/www.linkedin.com\/in\/hong-xu-984b2825\/"],"url":"https:\/\/www.esri.com\/arcgis-blog\/author\/hxu"}]}},"text_date":"January 2, 2024","author_name":"Hong Xu","author_page":"https:\/\/www.esri.com\/arcgis-blog\/author\/hxu","custom_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2024\/01\/GEDI_banner_large.png","primary_product":"ArcGIS Pro","tag_data":[{"term_id":770282,"name":"Altimetry","slug":"altimetry","term_group":0,"term_taxonomy_id":770282,"taxonomy":"post_tag","description":"","parent":0,"count":2,"filter":"raw"},{"term_id":773202,"name":"Biomass","slug":"biomass","term_group":0,"term_taxonomy_id":773202,"taxonomy":"post_tag","description":"","parent":0,"count":2,"filter":"raw"},{"term_id":773192,"name":"GEDI","slug":"gedi","term_group":0,"term_taxonomy_id":773192,"taxonomy":"post_tag","description":"","parent":0,"count":2,"filter":"raw"},{"term_id":24381,"name":"Lidar","slug":"lidar","term_group":0,"term_taxonomy_id":24381,"taxonomy":"post_tag","description":"","parent":0,"count":45,"filter":"raw"},{"term_id":450302,"name":"remote sensing","slug":"remote-sensing","term_group":0,"term_taxonomy_id":450302,"taxonomy":"post_tag","description":"","parent":0,"count":19,"filter":"raw"}],"category_data":[{"term_id":22931,"name":"Imagery &amp; Remote Sensing","slug":"imagery","term_group":0,"term_taxonomy_id":22931,"taxonomy":"category","description":"","parent":0,"count":765,"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":2035,"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\/2213642","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\/10352"}],"replies":[{"embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/comments?post=2213642"}],"version-history":[{"count":0,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/blog\/2213642\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/media?parent=2213642"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/categories?post=2213642"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/tags?post=2213642"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/industry?post=2213642"},{"taxonomy":"product","embeddable":true,"href":"https:\/\/www.esri.com\/arcgis-blog\/wp-json\/wp\/v2\/product?post=2213642"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}