20260624
23041300
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Analyzing solar adoption - Processing Extent
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https://www.arcgis.com/sharing/rest/content/items/9491d1e25eab48bd9bd9d54fe7e8f3ea/info/thumbnail/thumbnail1782422208034.png
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
WGS_1984_Web_Mercator_Auxiliary_Sphere
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20260624
23041300
20260624
23041300
Esri ArcGIS 13.7.0.1901
Analyzing solar adoption - Processing Extent
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.<p>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.</p><p 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;'>The Esri Blog Post - <a 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'>Analyzing solar adoption in ArcGIS Online Part 1: Feature extraction with AI and World Imagery</a> provides step by step instructions that cover:</p><ul><li>Imagery Selection using the Wayback App to publish a World Imagery tile layer to your ArcGIS Online Organization</li><li>Feature Extraction using ArcGIS Online built in Analysis Capabilites with pre-trained deep learning packages available in Living Atlas</li></ul><p>The 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.</p><p><img src='https://downloads.esri.com/blogs/arcgisonline/esrilogo_new.png' width='113' height='39' /> This work is licensed under the Esri Master License Agreement.</p><div><a target='_blank' href='https://goto.arcgis.com/termsofuse/viewsummary' rel='nofollow ugc noopener noreferrer'><strong>View Summary</strong></a> | <a target='_blank' href='https://goto.arcgis.com/termsofuse/viewtermsofuse' rel='nofollow ugc noopener noreferrer'><strong>View Terms of Use</strong></a></div>Esri
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Analyzing solar adoption - Processing Extent
Feature Class
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Sequential unique whole numbers that are automatically generated.
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0
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Feature geometry.
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Coordinates defining the features.
NoteType
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5
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Name
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created_us
created_us
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created_da
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last_edite
last_edite
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last_edi_1
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Shape_Area
Shape_Area
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Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20260624
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