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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...
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The U.S. Geological Survey (USGS) in cooperation with the Harris‐Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, Lone Star Groundwater Conservation District, and Brazoria County Groundwater Conservation District produced this dataset of groundwater‐level altitudes and groundwater‐level altitude changes in the Chicot and Evangeline aquifers (undifferentiated), and Jasper aquifer in the greater Houston area, Texas. This dataset shows current‐year (2024) groundwater‐level altitudes for each aquifer as well as 1-year (2023–24), and 5‐year (2019–24) groundwater‐level changes for each aquifer, long‐term (1990–2024 and 1977–2024) groundwater‐level changes for the Chicot and Evangeline aquifers...
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This dataset is a digital image mosaic of sidescan for six sites where known rock structures exist in the St. Croix River. Sidescan sonar emits conical or fan-shaped beam down across a wide angle perpendicular to the path of the sensor through the water. The intensity of the acoustic reflections from the riverbed is recorded in a series of cross-track slices and when stitched together in a mosaic, form an image of the riverbed giving the user a view of the material and texture of the riverbed. Sidescan mosaics are being used in this project mainly as ancillary information to help view the rock structures and will also be used for investigating the use of hydroacoustic technologies for quantifying habitat for imperiled...


    map background search result map search result map Sidescan Image Mosaics of select Rock Outcrops of the St. Croix River, May 2021 Wetlands in the state of Arizona Groundwater-Level Altitudes and Long-Term Groundwater-Level Changes in the Chicot and Evangeline (undifferentiated) and Jasper aquifers, greater Houston area, Texas, 2024 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 Groundwater-Level Altitudes and Long-Term Groundwater-Level Changes in the Chicot and Evangeline (undifferentiated) and Jasper aquifers, greater Houston area, Texas, 2024 Wetlands in the state of Arizona