snippet:
|
Based on 2021 imagery from the USDA’s National
Agriculture Imagery Program (NAIP), the results provide
a near-current look at the land cover in Roanoke Valley.
They will allow the area to revise existing and develop
new strategies to protect and expand the urban forest.
This study utilized modern machine learning techniques
to create reproducible land cover data and allow a more
uniform comparison in future tree canopy and land
cover assessments. |
summary:
|
Based on 2021 imagery from the USDA’s National
Agriculture Imagery Program (NAIP), the results provide
a near-current look at the land cover in Roanoke Valley.
They will allow the area to revise existing and develop
new strategies to protect and expand the urban forest.
This study utilized modern machine learning techniques
to create reproducible land cover data and allow a more
uniform comparison in future tree canopy and land
cover assessments. |
extent:
|
[[-80.3084326543977,37.0681887140388],[-79.8068060193935,37.4447284375051]] |
accessInformation:
|
|
thumbnail:
|
thumbnail/thumbnail.png |
maxScale:
|
1.7976931348623157E308 |
typeKeywords:
|
["Data","Service","Map Service","ArcGIS Server"] |
description:
|
|
licenseInfo:
|
|
catalogPath:
|
|
title:
|
Landcover 2021 |
type:
|
Map Service |
url:
|
|
tags:
|
["Roanoke County","PlanIT Geo","Urban Tree Canopy"] |
culture:
|
en-US |
name:
|
Landcover_2021 |
guid:
|
3AE06D9A-179F-47A1-AA56-BAA4AFB06503 |
minScale:
|
0 |
spatialReference:
|
NAD_1983_UTM_Zone_17N |