{"id" : "9491d1e25eab48bd9bd9d54fe7e8f3ea", 
  "name" : "", 
  "owner" : "jmamini_content", 
  "guid" : "", 
  "title" : "FeatureExtraction_ProcessingExtent", 
  "type" : "Feature Service", 
  "typeKeywords" : [
    "ArcGIS Server", 
    "Data", 
    "Feature Access", 
    "Feature Service", 
    "Metadata", 
    "Service", 
    "Singlelayer", 
    "Hosted Service"
  ], 
  "description" : "\u003cp\u003eThis feature layer is intented for public use in a Esri Blog Tutorial to limit the processing extent of the ArcGIS Online Analysis Tool Detect Objects using Deep Learning.\u003c/p\u003e\u003cp style='background-color:rgb(255, 255, 255); border-style:solid; border-width:0px; box-sizing:border-box; color:rgb(74, 74, 74); font-family:"Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'\u003eThe Esri Blog Post - \u003ca style='border-style:solid; border-width:0px; box-sizing:border-box; color:rgb(0, 97, 155); font-family:inherit; line-height:1.5; text-decoration:none;' target='_blank' href='https://www.esri.com/arcgis-blog/products/arcgis-living-atlas/imagery/analyze-solar-adoption-in-arcgis-online-part1' rel='nofollow ugc noopener noreferrer'\u003eAnalyzing solar adoption in ArcGIS Online Part 1: Feature extraction with AI and World Imagery\u003c/a\u003e provides step by step instructions that cover:\u003c/p\u003e\u003cul\u003e\u003cli\u003eImagery Selection using the Wayback App to publish a  World Imagery tile layer to your ArcGIS Online Organization\u003c/li\u003e\u003cli\u003eFeature Extraction using ArcGIS Online built in Analysis Capabilites with pre-trained deep learning packages available in Living Atlas\u003c/li\u003e\u003c/ul\u003e\u003cp\u003eThe FeatureExtraction_ ProcessingExtent Layer is used with the Environmental settings of the Detect Objects using Deep Learning Tool, to limit processing extents for consist credit consumption throughout the Blog Tutorial.\u003c/p\u003e", 
  "tags" : [
    "Solar", 
    "GeoAI", 
    "World Imagery"
  ], 
  "snippet" : "This feature layer is intented for public use in a Esri Blog Tutorial to limit the processing extent of the ArcGIS Online Analysis Tool Detect Objects using Deep Learning. The FeatureExtraction_ ProcessingExtent Layer is used in the Environmental settings of the Detect Objects using Deep Learning Tool, to limit processing extents for consist credit consumption throughout the Blog Tutorial.", 
  "thumbnail" : "thumbnail/thumbnail1782422208034.png", 
  "extent" : [-117.164038443375, 34.0475538941431, 
    -117.138840657434, 34.0602827604503
  ], "categorites" : null, 
  "spatialReference" : "102100", 
  "url" : "https://services.arcgis.com/jIL9msH9OI208GCb/arcgis/rest/services/Part1_FeatureExtraction__ProcessingExtent/FeatureServer", 
  "culture" : "en-us", 
  "licenseInfo" : "\u003cp\u003e\u003cimg src='https://downloads.esri.com/blogs/arcgisonline/esrilogo_new.png' width='113' height='39' /\u003e  This work is licensed under the Esri Master License Agreement.\u003c/p\u003e\u003cdiv\u003e\u003ca target='_blank' href='https://goto.arcgis.com/termsofuse/viewsummary' rel='nofollow ugc noopener noreferrer'\u003e\u003cstrong\u003eView Summary\u003c/strong\u003e\u003c/a\u003e | \u003ca target='_blank' href='https://goto.arcgis.com/termsofuse/viewtermsofuse' rel='nofollow ugc noopener noreferrer'\u003e\u003cstrong\u003eView Terms of Use\u003c/strong\u003e\u003c/a\u003e\u003c/div\u003e", 
  "accessInformation" : "Esri", 
  "properties" : "", 
  "access" : "public", 
  "size" : 196608
}