Service Description: To support the Machine learning process, two 6-inch resolution, 4-band aerial images of the site area from the United States National Agriculture Imagery Program (NAIP) were used. The images were generalized to significantly reduce the number of spectral signatures for classification. Supervised classification of the image segments was then performed, and the resulting land-use types were reclassified as either impervious or pervious.
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Max Record Count: 2000
Supported query Formats: JSON
Supports applyEdits with GlobalIds: False
Supports Shared Templates: True
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Spatial Reference: 102100 (3857)
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Units: esriMeters
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