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Interpolated hydrogeologic framework and digitized datasets for upstate New York study areas: Greene study area
The town of Greene is located in Chenango County, New York. Previous USGS reports here include Open-File Report 2003-242 (Hetcher and others, 2003), and Scientific Investigations Map 2914 (Hetcher-Aguila and Miller, 2005). The five child pages below break the data up into georeferenced and digitized previous report data, interpreted geologic information, well logs, supplemental point data, and interpolation statistics.
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Interpolated hydrogeologic framework and digitized datasets for upstate New York study areas: Greene study area
공공데이터포털
The town of Greene is located in Chenango County, New York. Previous USGS reports here include Open-File Report 2003-242 (Hetcher and others, 2003), and Scientific Investigations Map 2914 (Hetcher-Aguila and Miller, 2005). The five child pages below break the data up into georeferenced and digitized previous report data, interpreted geologic information, well logs, supplemental point data, and interpolation statistics.
Interpolated hydrogeologic framework and digitized datasets for upstate New York study areas: Greene study area
공공데이터포털
The town of Greene is located in Chenango County, New York. Previous USGS reports here include Open-File Report 2003-242 (Hetcher and others, 2003), and Scientific Investigations Map 2914 (Hetcher-Aguila and Miller, 2005). The five child pages below break the data up into georeferenced and digitized previous report data, interpreted geologic information, well logs, supplemental point data, and interpolation statistics.
Interpolated Hydrogeologic Framework and Digitized Datasets for Upstate New York Study Areas
공공데이터포털
Digital hydrogeologic datasets were developed for the Greene study area in upstate New York in cooperation with the New York State Department of Environmental Conservation. These datasets define the hydrogeologic framework of the valley-fill aquifer and surrounding till-covered uplands within the study area. Datasets include: bedrock elevation raster, lacustrine silt and clay top and bottom elevation rasters, LIDAR minimum elevation raster, lacustrine extent polygon, valley-fill extent polygon, and surficial geology polygons. Elevation layers were interpolated at 125-foot discretization to match the model grid cell size.
Interpolated Hydrogeologic Framework and Digitized Datasets for Upstate New York Study Areas
공공데이터포털
Digital hydrogeologic datasets were developed for the Greene study area in upstate New York in cooperation with the New York State Department of Environmental Conservation. These datasets define the hydrogeologic framework of the valley-fill aquifer and surrounding till-covered uplands within the study area. Datasets include: bedrock elevation raster, lacustrine silt and clay top and bottom elevation rasters, LIDAR minimum elevation raster, lacustrine extent polygon, valley-fill extent polygon, and surficial geology polygons. Elevation layers were interpolated at 125-foot discretization to match the model grid cell size.
Interpolated Hydrogeologic Framework and Digitized Datasets for Upstate New York Study Areas
공공데이터포털
Digital hydrogeologic datasets were developed for the Greene study area in upstate New York in cooperation with the New York State Department of Environmental Conservation. These datasets define the hydrogeologic framework of the valley-fill aquifer and surrounding till-covered uplands within the study area. Datasets include: bedrock elevation raster, lacustrine silt and clay top and bottom elevation rasters, LIDAR minimum elevation raster, lacustrine extent polygon, valley-fill extent polygon, and surficial geology polygons. Elevation layers were interpolated at 125-foot discretization to match the model grid cell size.
Interpolated hydrogeologic framework and digitized datasets for upstate New York study areas: Cincinnatus study area
공공데이터포털
The town of Cincinnatus is located in Cortland County, New York. No previous USGS publications are available for the Cincinnatus study area. Subsequently, all subsurface hydrogelogic data was derived from driller well logs. The four child pages below break the data up into interpreted geologic information, well logs, supplemental point data, and interpolation statistics.
Interpolated hydrogeologic framework and digitized datasets for upstate New York study areas: Cincinnatus study area
공공데이터포털
The town of Cincinnatus is located in Cortland County, New York. No previous USGS publications are available for the Cincinnatus study area. Subsequently, all subsurface hydrogelogic data was derived from driller well logs. The four child pages below break the data up into interpreted geologic information, well logs, supplemental point data, and interpolation statistics.
Interpolated hydrogeologic framework and digitized datasets for upstate New York study areas: Cincinnatus study area
공공데이터포털
The town of Cincinnatus is located in Cortland County, New York. No previous USGS publications are available for the Cincinnatus study area. Subsequently, all subsurface hydrogelogic data was derived from driller well logs. The four child pages below break the data up into interpreted geologic information, well logs, supplemental point data, and interpolation statistics.
Interpolated Hydrogeologic Framework and Digitized Datasets for Upstate New York Study Areas
공공데이터포털
This dataset includes spreadsheets with statistical data (mean and median absolute error) used in deciding which interpolation method best fit the corresponding dataset. All statistical data were paired with a visual inspection of the interpolation prior to determining the final raster product. All spreadsheets were generated using an automated Python script (Jahn, 2020).
Interpolated Hydrogeologic Framework and Digitized Datasets for Upstate New York Study Areas
공공데이터포털
This dataset includes spreadsheets with statistical data (mean and median absolute error) used in deciding which interpolation method best fit the corresponding dataset. All statistical data were paired with a visual inspection of the interpolation prior to determining the final raster product. All spreadsheets were generated using an automated Python script (Jahn, 2020).