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 |