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This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Wytheville 30 x 60 minute quadrangle in Virginia and North Carolina. The source data used to construct this imagery consists of 1 and 3-meter lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2012 and 2021. The data were processed using geographic information systems (GIS) software. The data is projected in WGS 1984. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.
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We created a single map of surface water presence by intersecting water classes from available land cover products (National Wetland Inventory, Gap Analysis Program, National Land Cover Database, and Dynamic Surface Water Extent) across the U.S. state of Arizona. We derived classified samples for four wetland classes from the harmonized map: water, herbaceous wetlands, wooded wetlands, and non-wetland cover. In Google Earth Engine (GEE) we developed a random forest model that combined the training data with spatially explicit predictor variables of vegetation greenness indices, wetness indices, seasonal index variation, topographic variables, and hydrologic parameters. The final product is a wall-to-wall map of...
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This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Kingwood 30 x 60 minute quadrangle in West Virginia and Maryland. The source data used to construct this imagery consists of 1-meter lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2020 and 2023. The data were processed using geographic information systems (GIS) software. The data is projected in WGS 1984. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.
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This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Galax 30 x 60 minute quadrangle in Virginia and North Carolina. The source data used to construct this imagery consists of 1-meter, 1/9 arc-second (3-meter) and 3-feet lidar-derived digital elevation models (DEMs). Lidar point cloud data (LPCs) were used to construct DEMs at a 3-meter resolution in parts of North Carolina. The lidar source data were compiled from different acquisitions published between 2018 and 2020. The data were processed using geographic information systems (GIS) software. The data is projected in WGS 1984. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief...


    map background search result map search result map Wetlands in the state of Arizona Enhanced Terrain Imagery of the Kingwood 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Enhanced Terrain Imagery of the Galax 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Enhanced Terrain Imagery of the Wytheville 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Enhanced Terrain Imagery of the Galax 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Enhanced Terrain Imagery of the Wytheville 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Enhanced Terrain Imagery of the Kingwood 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Wetlands in the state of Arizona