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snippet: Over two million (2,121,130) footprints were extracted from high-resolution (6"-3") WV County Imagery (2018-2023) using ESRI's USA Building Footprints deep-learning package.
summary: Over two million (2,121,130) footprints were extracted from high-resolution (6"-3") WV County Imagery (2018-2023) using ESRI's USA Building Footprints deep-learning package.
extent: [[-82.7042094982597,37.147825775799],[-77.6498072283543,40.6514737787312]]
accessInformation: WVGISTC
thumbnail: thumbnail/thumbnail.png
maxScale: 1.7976931348623157E308
typeKeywords: ["ArcGIS","ArcGIS Server","Data","Map Service","Service"]
description: Over two million (2,121,130) footprints were extracted from high-resolution (6"-3") WV County Imagery (2018-2023) using ESRI's USA Building Footprints deep-learning package. Compared to Microsoft's 2018 building footprint dataset, the ESRI output provides a higher average accuracy across the majority of WV counties, as well as improved footprint attributes, including orientation and building-edge tracing accuracy.
licenseInfo:
catalogPath:
title: BuildingFootprints_WVGISTC
type: Map Service
url:
tags: ["wvgistc","building footprints"]
culture: en-US
name: BuildingFootprints_WVGISTC
guid: 9295D4B1-500C-4694-800E-EDDDA104F971
minScale: 0
spatialReference: NAD_1983_UTM_Zone_17N