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Data

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Enhanced Terrain Imagery of the Little Lehigh Watershed from Lidar-Derived Elevation Models at 1-Meter Resolution

This imagery dataset consists of 1-meter resolution, Lidar-derived imagery of the Little Lehigh Basin area in Pennsylvania and covers part of the Delaware River Basin. The footprint of this dataset covers USGS Hydrologic Unit Code (HUC) areas HUC 12-020401060701, HUC 12-020401060702 and part of HUC 12-020401060703. The source data used to construct this imagery consists of 1-meter resolution Lidar

Enhanced Terrain Imagery of the White Clay Creek Watershed from Lidar-Derived Elevation Models at 1-Meter Resolution

This imagery dataset consists of 1-meter resolution, lidar-derived imagery of the White Creek Clay watershed in Pennsylvania and Delaware, which includes part of the Delaware River Basin. The footprint of this dataset covers USGS Hydrologic Unit Code (HUC) areas HUC 12-020402050301, HUC 12-02040205030102, HUC 12-02040205030103, HUC 12-02040205030106, and part of HUC 12-02040205030108. The source d

Enhanced Terrain Imagery of the Neversink River Watershed from Lidar-Derived Elevation Models at 1-Meter Resolution

This imagery dataset consists of 1-meter resolution, lidar-derived imagery of the Neversink Basin area in New York and covers part of the Delaware River Basin. The footprint of this dataset covers USGS Hydrologic Unit Code (HUC) areas HUC 12-020401040301, HUC 12-020401040302, and part of HUC 12-020401040303. The source data used to construct this imagery consists of 1-meter and 2-meter resolution

Enhanced Terrain Imagery of the Allentown 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution

This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Allentown 30 x 60 minute quadrangle in Pennsylvania and part of New Jersey. It also covers part of the Delaware River Basin. The source data used to construct this imagery consists of 1-meter and 2-meter resolution Lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acqui

Lidar-derived closed depression vector data and density raster in karst areas of Monroe County, West Virginia

Monroe County in southeastern West Virginia hosts world-class karst within carbonate units of Mississippian and Ordovician age. Lidar-derived elevation data acquired in late December of 2016 were used to create a 3-meter resolution working digital elevation model (DEM), from which surface depressions were identified using a semi-automated workflow in ArcGIS. Depressions in the automated inventory

Hydrologic, slope movement, and soil property data from the coastal bluffs of the Atlantic Highlands, New Jersey, 2016-2018

Seasonal variations in vegetation, rainfall, and soil moisture conditions have the potential to impact the slope stability of locally forested coastal bluffs in the Atlantic Highlands of New Jersey. Both the seasonality and rainfall amounts of the two types of storms that induce shallow landslides in the area vary considerably. Most of the documented historical landslides are the result of heavy r

Monitoring data from the Aleppo rockslide, Allegheny County, Pennsylvania, November 2013 - December 2018

Upon reactivation, movement of deep-seated landslides in the Greater Pittsburgh region may persist for long periods of time. Monitoring equipment was located at two sites on a deep-seated rockslide in Aleppo Township, Pennsylvania to establish relationships between precipitation and changes in the state of activity and velocity. Precipitation, snow depth, and air temperature are monitored at a wea

Enhanced Terrain Imagery of the Pepacton Reservoir 30 x 60 Minute Quadrangle from Lidar-derived Elevation Models at 3 Meter Resolution

This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Pepacton Reservoir 30 x 60 minute quadrangle in New York and covers part of the Delaware River Basin. The source data used to construct this imagery consist of 1 meter and 2 meter resolution lidar-derived digital elevation models (DEM). The lidar source data were compiled from different acquisitions published between

Enhanced Terrain Imagery of the Monticello 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution

This imagery dataset consists of 3-meter resolution, Lidar-derived imagery of the Monticello 30 x 60 minute quadrangle in New York and covers part of the Delaware River Basin. The source data used to construct this imagery consists of 1-meter and 2-meter resolution Lidar-derived digital elevation models (DEM). The Lidar source data were compiled from different acquisitions published between 2005 a

Enhanced Terrain Imagery of the Winchester 30 x 60 Minute Quadrangle from Lidar-derived Elevation Models at 3 Meter Resolution

This imagery dataset consists of 3 meter resolution, Lidar-derived imagery of the Winchester 30 x 60 minute quadrangle in northern Virginia, West Virginia, and western Maryland. The source data used to construct this imagery consists of 1 meter resolution lidar-derived digital elevation models (DEM). The lidar source data were compiled from different acquisitions published between 2011 and 2019. T

Data release for depth to bedrock from Connecticut Water Resources Bulletins

This data release consists of information from published tables in Connecticut Water Resources Bulletins (WRBs) transcribed into tabular digital format. Information about wells and test holes in the WRBs used in this data release consists of geographic location, depth to consolidated rock (bedrock depth), and depth of the well or test hole. The WRBs, published between 1966 and 1980 by the U.S. Geo

Data release for depth to bedrock from Rhode Island Water Resources Maps

This data release, RI_WRpts.gdb, consists of information from Rhode Island Ground-water maps published by the Rhode Island Water Resources Coordinating Board, the Rhode Island Port and Industrial Development Commission, Rhode Island Industrial Commission, and the Rhode Island Development Council; in cooperation with the U.S. Geological Survey. The point data on these maps have been digitized into