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Folders: ROOT > ScienceBase Catalog > USGS New York Water Science Center > Data for statewide assessment of New York's karst aquifers with an inventory of closed-depression and focused-recharge features ( Show direct descendants )
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ROOT _ScienceBase Catalog __USGS New York Water Science Center ___Data for statewide assessment of New York's karst aquifers with an inventory of closed-depression and focused-recharge features Filters
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A digital representation of closed depression features overlying and adjacent to New York’s carbonate-bedrock aquifers. Includes closed depressions that are both natural and anthropogenic in origin. The features were derived from a digital contour database obtained from https://topotools.cr.usgs.gov/contour_data.php. The original contour dataset was generated from the National Elevation Dataset (NED) and the National Hydrography Dataset (NHD) in a fully automated process. The process is described in U.S. Geological Survey Scientific Investigations Report 2012–5167.
A digital representation of closed depression features overlying and adjacent to New York’s carbonate-bedrock aquifers. Includes closed depressions that are both natural and anthropogenic in origin. The features were derived from Digital Raster Graphic (DRG) images of scanned U.S. Geological Survey 1:24,000-scale topographic maps. A DRG is a scanned image of a U.S. Geological Survey topographic map that can be added as a background layer in a GIS. The closed depressions inventoried using DRGs represent features that were not included in the Digital Contour Database. The features were inventoried as points.
A digital representation of closed depression features overlying and adjacent to New York’s carbonate-bedrock aquifers. Includes closed depressions that are both natural and anthropogenic in origin. The closed depressions were generated from 1-meter and 2-meter resolution LiDAR-derived bare-earth DEMs obtained from the New York State Office of Information Technology Services. At the time of analysis (2017) LiDAR data existed for approximately 65 percent of the study area. The DEMs were processed to identify depressions with an area of at least 4,047 square meters (1-acre) and a depth of at least 1-meter. The closed depressions inventoried using the LiDAR-derived DEMs represent features that were not identified...
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