Filters: Types: Map Service (X) > Types: OGC WMS Service (X) > Types: OGC WFS Layer (X) > Types: OGC WMS Layer (X) > partyWithName: Daniel H Doctor (X) > partyWithName: Core Science Systems (X)
Folders: ROOT > ScienceBase Catalog > USGS Data Release Products ( Show all descendants )
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This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Carlisle 30 x 60 minute quadrangle in Pennsylvania. 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 2019 and 2020 and downloaded from the USGS National Map TNM Download. The data were processed using geographic information systems (GIS) software. The data is projected in WGS 1984 Web Mercator. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Raster;
Tags: Geography,
Land Use Change,
Pennsylvania,
Water Resources,
digital elevation models,
Monroe County, in southeastern West Virginia, hosts world-class karst within carbonate units of Mississippian and Ordovician age. There are at least 412 known caves in the county. Location data for these caves were collected from the West Virginia Speleological Survey (WVASS) Bulletin 22 (Dasher, 2019). Point features were created in ArcGIS Pro for each cave location and were used to make a point density raster. This raster displays the number of cave points per square kilometer.
This Scientific Data Release is a spatial geodatabase representation of Braun, D. D., 1996, Surficial geology of the Allentown 30x60-minute quadrangle: Pennsylvania Geological Survey, 4th ser., Open-File Report 96–48, 17 p., 1 map, scale 1:100,000. These geospatial data depict surficial geologic materials in the Pennsylvania portion of the Allentown 30 x 60-minute quadrangle in eastern Pennsylvania.The map area shows the effects of at least three Pleistocene glacial advances. The report map is a compilation and revision of published and unpublished, 1:24,000-scale, detailed-reconnaissance maps. Types of surficial geologic units include 14 anthropogenic, 8 alluvial or wetland, 16 colluvial, and 12 Wisconsinan, Illinoian,...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Allentown Quadrangle,
Berks County,
Bucks County,
Carbon County,
Economic Geology,
This Scientific Data Release is a spatial geodatabase containing Woodruff, K.D. Christopher, M.J., 1982, Thickness of Regolith in the Delaware Piedmont: Delaware Geological Survey Open File Report No. 19, scale 1:24,000, formatted to Geologic Map Schema (GeMS) standards. These geospatial data depict the total thickness (regolith) of both the loose, transported material and the weathered rock that overlies crystalline rocks of the Delaware Piedmont. Land-use planners of many kinds (including National Forest managers, developers, city and rural planners, and highway builders) need accurate geologic data with which to make informed decisions. This geodatabase was produced in support of the U.S. Geological Survey U.S....
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Delaware,
Geography,
USGS Science Data Catalog (SDC),
United States,
geology,
This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Radford 30 x 60 minute quadrangle in Virginia. It also covers a part of the Appalachian Basin Province. 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 2018 and 2020 and downloaded from the USGS National Map TNM Download. The data were processed using geographic information systems (GIS) software. The data is projected in WGS 1984 Web Mercator. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Raster;
Tags: Geography,
Land Use Change,
Radford,
USGS Science Data Catalog (SDC),
Virginia,
This Scientific Data Release is a spatial geodatabase representation of a compilation of Cadwell, D.H., Connally, G.G., Fleisher, P.J., Muller, E.H., 1988, Surficial geologic map of New York; Niagara sheet: New York State Museum Map and Chart Series 40, scale 1:250,000, 5 sheets., Muller, E.H., Cadwell, D.H., Connally, G.G., Young, R.A., 1986, Surficial geologic map of New York; Finger Lakes sheet: New York State Museum Map and Chart Series 40, scale 1:250,000, 5 sheets., Cadwell, D.H., et al., 1991, Surficial geologic map of New York; Adirondack sheet: New York State Museum Map and Chart Series 40, scale 1:250,000, 5 sheets., Cadwell, D.H., Dineen, R.J., Connally, G.G., Fleisher, P.J., and Rich, J.L., 1987, Surficial...
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Adirondack,
Energy Resources,
Finger Lakes,
Geomorphology,
Hudson-Mohawk,
This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Pittsburgh East 30 x 60 minute quadrangle in Pennsylvania. 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 2020 and 2021 and downloaded from the USGS National Map TNM Download. The data were processed using geographic information systems (GIS) software. The data is projected in WGS 1984 Web Mercator. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Raster;
Tags: Geography,
Land Use Change,
Pennsylvania,
USGS Science Data Catalog (SDC),
Water Resources,
This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Johnstown 30 x 60 minute quadrangle in Pennsylvania. 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 in 2020 and downloaded from the USGS National Map TNM Download. The data were processed using geographic information systems (GIS) software. The data is projected in WGS 1984 Web Mercator. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Raster;
Tags: Geography,
Land Use Change,
Pennsylvania,
USGS Science Data Catalog (SDC),
Water Resources,
This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Cumberland 30 x 60 minute quadrangle in Pennsylvania, 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 2019 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.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Raster;
Tags: Economic Geology,
Geography,
Geomorphology,
Land Use Change,
Lidar,
This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Hagerstown 30 x 60 minute quadrangle in Pennsylvania, Maryland, and part of West Virginia. 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 2016 and 2023. The data were processed using geographic information systems (GIS) software. The data is projected in WGS 1984 Web Mercator. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation. First release: 2012 Revised: February...
Categories: Data,
Data Release - Revised;
Types: Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Raster;
Tags: Lidar,
Maryland,
Pennsylvania,
USGS Science Data Catalog (SDC),
West Virginia,
This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Marlinton 30 x 60 minute quadrangle in West Virginia. 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 2020 and 2021. The data were processed using geographic information systems (GIS) software. The data is projected in WGS 1984 Web Mercator. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Raster;
Tags: Economic Geology,
Geography,
Geomorphology,
Land Use Change,
Lidar,
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 were systematically checked by a geologist within a grid of 1.5 square kilometer tiles using aerial imagery, lidar-derived imagery, and 3D viewing of the lidar imagery. Distinguishing features such as modification by human activities or hydrological significance (stream sink, ephemerally ponded, etc.) were noted wherever...
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