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 data used to construct this imagery consist of 1-meter Lidar-derived digital elevation models (DEM). The Lidar source data were compiled from different USGS acquisitions published between 2013 and 2015. The data were processed using geographic information systems (GIS) software. The data are projected in North America Datum (NAD) UTM Zone 18 North. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.

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-derived digital elevation models (DEM). The Lidar source data were compiled from the Pennsylvania Geospatial Data Clearinghouse, published 2019. The data were processed using geographic information systems (GIS) software. The data is projected in North America Datum (NAD) UTM Zone 18 North. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.

This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Honesdale 30 x 60 minute quadrangle in Pennsylvania and part of New York. It also covers part of the Delaware River Basin. The source data used to construct this imagery consists of 1-meter resolution lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2017 and 2019 from the Pennsylvania Spatial Data Access (PASDA). The data were processed using geographic information systems (GIS) software. The data is projected in North America Datum (NAD) UTM Zone 18 North. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.

This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Honesdale 30 x 60 minute quadrangle in Pennsylvania and part of New York. It also covers part of the Delaware River Basin. The source data used to construct this imagery consists of 1-meter resolution lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2017 and 2019 from the Pennsylvania Spatial Data Access (PASDA). The data were processed using geographic information systems (GIS) software. The data is projected in North America Datum (NAD) UTM Zone 18 North. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.

This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Wilmington 30 x 60 minute quadrangle in parts of Pennsylvania, Maryland, Delaware, and New Jersey. It also covers part of the Delaware River Basin. The source data used to construct this imagery consists of 1-meter and 3-meter resolution Lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2013 and 2018 from the U.S. Department of Agriculture (USDA) and the US Geological Survey (USGS). The data were processed using geographic information systems (GIS) software. The data are projected in North America Datum (NAD) UTM Zone 18 North. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.

This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Wilmington 30 x 60 minute quadrangle in parts of Pennsylvania, Maryland, Delaware, and New Jersey. It also covers part of the Delaware River Basin. The source data used to construct this imagery consists of 1-meter and 3-meter resolution Lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2013 and 2018 from the U.S. Department of Agriculture (USDA) and the US Geological Survey (USGS). The data were processed using geographic information systems (GIS) software. The data are projected in North America Datum (NAD) UTM Zone 18 North. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.

This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Harrisburg 30 x 60 minute quadrangle in Pennsylvania. It also covers part of the Delaware River Basin. The source data used to construct this imagery consist of 1-meter and 3-meter resolution lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2013 and 2018 from the U.S. Department of Agriculture (USDA) and the US Geological Survey (USGS). The data were processed using geographic information systems (GIS) software. The data are projected in North America Datum (NAD) UTM Zone 18 North. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.

This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Harrisburg 30 x 60 minute quadrangle in Pennsylvania. It also covers part of the Delaware River Basin. The source data used to construct this imagery consist of 1-meter and 3-meter resolution lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2013 and 2018 from the U.S. Department of Agriculture (USDA) and the US Geological Survey (USGS). The data were processed using geographic information systems (GIS) software. The data are projected in North America Datum (NAD) UTM Zone 18 North. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.

This data release includes one comma delimited table that represents a summary of source and target samples collected for White Clay Creek between 2020 and 2023, in support of sediment fingerprinting modelling. This table contains sediment sample information and results of particle size, elemental composition, and fallout radionuclide analyses. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. First posted - October 18, 2023 (available from author). Revised - March 28, 2024 (version 2.0). This data release has been revised to include data from samples collected in 2023 that were not published in version 1.0.

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 acquisitions published between 2010 and 2019 from the U.S. Department of Agriculture (USDA) and the Pennsylvania Spatial Data Access (PASDA). The data were processed using geographic information systems (GIS) software. The data is projected in North America Datum (NAD) UTM Zone 18 North. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.