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Ohio-drainage land-use/land-cover data for use with Water Resources Investigations Report 03-4164
This coverage contains land-cover information for all of Ohio and portions of Indiana, Michigan, Kentucky, West Virginia, Pennsylvania, and New York. This dataset was derived from the U.S. Geological Survey's National Land Cover Dataset (NLCD). NLCD raster grids were downloaded from the USGS EROS Data Center web server at http://landcover.usgs.gov/natllandcover.html, by state. These grids were then reprojected, mosaiced and clipped against a polygon coverage representing the study area. Grid cell resolution is approximately 30 meters or 1 arc-second.
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Ohio-drainage land-use/land-cover data for use with Water Resources Investigations Report 03-4164
공공데이터포털
This coverage contains land-cover information for all of Ohio and portions of Indiana, Michigan, Kentucky, West Virginia, Pennsylvania, and New York. This dataset was derived from the U.S. Geological Survey's National Land Cover Dataset (NLCD). NLCD raster grids were downloaded from the USGS EROS Data Center web server at http://landcover.usgs.gov/natllandcover.html, by state. These grids were then reprojected, mosaiced and clipped against a polygon coverage representing the study area. Grid cell resolution is approximately 30 meters or 1 arc-second.
Ohio-drainage stream centerline coverage for use with Water Resources Investigations Report 03-4164
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This vector coverage of hydrography centerlines was derived from the National Hydrography Dataset (NHD), and encompasses all of Ohio and portions of Indiana, Michigan, Kentucky, West Virginia, Pennsylvania, and New York. This coverage is comprised of 105 Catalog Units (CUs) obtained from http://nhd.usgs.gov/. Each CU approximately represents a single 8-digit Hydrologic Unit Code (HUC).
Surface Drainage, Field Ditches on Agricultural Land in the Conterminous United States, 1992: National Resource Inventory Conservation Practice 607
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This data set represents the estimated percentage of the 1-km grid cell that is covered by or subject to the agricultural conservation practice (CP607), Surface Drainage, Field Ditches (SDFD) on agricultural land by county. Surface Drainage, Field Ditches are described as "a graded ditch for collecting excess water." (U.S. Department of Agriculture, 1995) This data set was created with geographic information systems (GIS) and database management tools. The acres on which SDFD's are applied were totaled at the county level in the tabular NRI database and then apportioned to a raster coverage of agricultural land within the county based on the Enhanced National Land Cover Dataset (NLCDe) 1-kilometer resolution land cover grids (Nakagaki, 2003). Federal land is not considered in this analysis because NRI does not record information on those lands.
Surface Drainage, Field Ditches on Agricultural Land in the Conterminous United States, 1992: National Resource Inventory Conservation Practice 607
공공데이터포털
This data set represents the estimated percentage of the 1-km grid cell that is covered by or subject to the agricultural conservation practice (CP607), Surface Drainage, Field Ditches (SDFD) on agricultural land by county. Surface Drainage, Field Ditches are described as "a graded ditch for collecting excess water." (U.S. Department of Agriculture, 1995) This data set was created with geographic information systems (GIS) and database management tools. The acres on which SDFD's are applied were totaled at the county level in the tabular NRI database and then apportioned to a raster coverage of agricultural land within the county based on the Enhanced National Land Cover Dataset (NLCDe) 1-kilometer resolution land cover grids (Nakagaki, 2003). Federal land is not considered in this analysis because NRI does not record information on those lands.
Discharge measurements, air temperature, water temperature, and gage height data for select stream monitoring locations across Pennsylvania and Maryland piedmont mixed agriculture 2023
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As part of a larger study examining stream conditions and the effect of best management practices in the Chesapeake Bay watershed, thirty small streams across the Pennsylvania and Maryland piedmont physiographic province were instrumented and monitored for gage height (water level), water temperature, and air temperature using Onset HOBO sensors from March to September 2023. In addition, discrete discharge measurements were made at baseflow at each site. This data release contains four .csv files with time-series for gage height, water temperature, and air temperature for all thirty monitoring locations and a table of discrete discharge measurements and associated field measurement metadata. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
Discharge measurements, air temperature, water temperature, and gage height data for select stream monitoring locations across Pennsylvania and Maryland piedmont mixed agriculture 2023
공공데이터포털
As part of a larger study examining stream conditions and the effect of best management practices in the Chesapeake Bay watershed, thirty small streams across the Pennsylvania and Maryland piedmont physiographic province were instrumented and monitored for gage height (water level), water temperature, and air temperature using Onset HOBO sensors from March to September 2023. In addition, discrete discharge measurements were made at baseflow at each site. This data release contains four .csv files with time-series for gage height, water temperature, and air temperature for all thirty monitoring locations and a table of discrete discharge measurements and associated field measurement metadata. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
Hydrographic Datasets for Hydrologic Unit 02070004 - Conocoheague
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The Chesapeake Bay Hyper-Resolution Hydrography Database is intended to facilitate analysis of the landscape in the Chesapeake Bay watershed through identification of headwater and other low-order streams or drainage features (e.g. ditches) that, to date, may be absent from existing hydrography data products. A full description of the methodology and accuracy assessment is provided in the accompanying report titled: "Hydrography Mapping Supporting Modeling and Targeted Conservation: Project Overview and Lessons Learned". The data products were developed by the Chesapeake Conservancy and the University of Maryland Baltimore County (UMBC) as part of a 6-year Cooperative Agreement between the Chesapeake Conservancy and the U.S. Environmental Protection Agency (EPA) and a separate Interagency Agreement between the USGS and the EPA to provide geospatial support to the Chesapeake Bay Program Office. The data release is structured by eight-digit level hydrologic unit codes (HUC8) for the Chesapeake Bay watershed. Each HUC8 contains seven files (see below) and uses the following nomenclature: where HUC_ID and WATERSHED_NAME are placeholders for HUC8 ID(s), and local watershed name(s) (e.g., "Hydrographic Datasets for Hydrologic Unit 02050101 - Upper Susquehanna") Data Release Structure: Project Overview and Lessons Learned.pdf (Project overivew, methodology and accuracy assessment) huc_[HUC_ID]_streamLine.zip (Stream Lines) huc_[HUC_ID]_streamPoly.zip (Stream Polygons) huc_[HUC_ID]_agDitches.zip (Agricultural Ditches) huc_[HUC_ID]_rdDitches.zip (Road Ditches) huc_[HUC_ID]_geomorphon1m.tif (Geomorphon 1-meter) huc_[HUC_ID]_geomorphon10m.tif (Geomorphon 10-meter) metadata_[HUC_ID].xml (metadata xml)
EcoSheds Summarized National Land Cover Database 2001 - 2016 for Hydro Region 2
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Summarization of US Geological Survey National Land Cover Database (NLCD) 2001, 2004, 2006, 2008, 2011, 2013 and 2016 Land Cover datasets with the Spatial Hydro-Ecological Decision System (SHEDS) framework. These NLCD data were summarized using the local and upstream total accumulation methods within SHEDS.
EcoSheds Summarized National Land Cover Database 2001 - 2016 for Hydro Region 2
공공데이터포털
Summarization of US Geological Survey National Land Cover Database (NLCD) 2001, 2004, 2006, 2008, 2011, 2013 and 2016 Land Cover datasets with the Spatial Hydro-Ecological Decision System (SHEDS) framework. These NLCD data were summarized using the local and upstream total accumulation methods within SHEDS.