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Service Description: The NRAC at WVU created a statwide spectral classification for WV using geographic object-based image analysis (GEOBIA), random forest (RF) machine learning, and National Agriculture Imagery Program (NAIP) orthophotography for mapping general land cover across the entire state. Three products are available: Land Cover (25 Category) for West Virginia,WV Spectral Classes, and Forest Fragmentation for West Virginia.
Map Name: wv_LULC_NAIP_2016_wm
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Description: The NRAC at WVU created a statwide spectral classification for WV using geographic object-based image analysis (GEOBIA), random forest (RF) machine learning, and National Agriculture Imagery Program (NAIP) orthophotography for mapping general land cover across the entire state. Three products are available: Land Cover (25 Category) for West Virginia,WV Spectral Classes, and Forest Fragmentation for West Virginia.
Copyright Text: NRAC
Spatial Reference:
102100
(3857)
Single Fused Map Cache: false
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Spatial Reference: 102100
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Spatial Reference: 102100
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Units: esriMeters
Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP
Document Info:
Title: WV Land Use Land Cover (NAIP 2016)
Author:
Comments: The NRAC at WVU created a statwide spectral classification for WV using geographic object-based image analysis (GEOBIA), random forest (RF) machine learning, and National Agriculture Imagery Program (NAIP) orthophotography for mapping general land cover across the entire state. Three products are available: Land Cover (25 Category) for West Virginia,WV Spectral Classes, and Forest Fragmentation for West Virginia.
Subject: Land Cover (25 Category) for West Virginia
Category:
Keywords: landcover,landuse,wv,2016
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Supported Query Formats: JSON, geoJSON, PBF
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Min Scale: 577790.554289
Max Scale: 1128.497176
Supports Datum Transformation: true
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