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A NAIP and Sentinel-2 based quantification of fractional composition of unvegetated, vegetated, and water in the Atlantic Coast, 2014-2019 used for calibration and validation of Landsat based datasets
These datasets were created from high-resolution (1-m) datasets representing median conditions during a 2014-2019 time period. These datasets used National Agricultural Inventory Program (NAIP) imagery, as well as Sentinel-2 satellite imagery, to estimate the fractional composition of unvegetated, vegetated, and water in each pixel. Random samples from these high resolution datasets were used to inform calibration and validation of the moderate resolution (30-m) Landsat datasets. To facilitate comparability with the Landsat datasets, these data were aggregated up to 30-m resolution.
Complete Metadata
| @id | http://datainventory.doi.gov/id/dataset/742616398af5a60b7fbf87abaa8ad380 |
|---|---|
| bureauCode |
[ "010:12" ] |
| identifier | USGS:5faf04cbd34eb413d5df89d4 |
| spatial | -82.3554,25.2018,-66.0173,45.3937 |
| theme |
[ "geospatial" ] |
