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Cropland Data Layer, New York, 2020 Raster Cornell University

2020. United States Department of Agriculture (USDA) and National Agricultural Statistics Service (NASS). The USDA, NASS Cropland Data Layer (CDL) is a raster, geo-referenced, crop-specific land cover data layer. The 2020 CDL has a ground resolution of ...

NLCD Land Cover, New York, 2019 Raster Cornell University

2019. U.S. Geological Survey and Jon Dewitz. The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD...

NLCD Percent Developed Imperviousness, New York, 2019 Raster Cornell University

2019. U.S. Geological Survey and Jon Dewitz. The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released five National Land Cover Database (NLCD...

NLCD Land Cover, New York, 2016 Raster Cornell University

2016. U.S. Geological Survey. The U.S. Geological Survey (USGS), in partnership with several federal agencies, has developed and released four National Land Cover Database (NLCD...

Land Use and Land Cover, Tompkins County NY, 2012 Polygon Cornell University

2012. Tompkins County Planning Department. The Tompkins County Planning Department produced a land use and land cover data set of Tompkins County, NY in 1995 and in 2009 updated the data usi...

NLCD Land Cover, New York, 2011 Raster Cornell University

2011. U.S. Geological Survey. The National Land Cover Database products are created through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) C...

Cropland Data Layer, New York, 2010 Raster Cornell University

2010. United States Department of Agriculture (USDA), National Agricultural Statistics Service (NASS), Research and Development Division (RDD), Geospatial Information Branch (GIB), Spatial Analysis Research Section (SARS). The USDA, NASS Cropland Data Layer (CDL) is a raster, geo-referenced, crop-specific land cover data layer. The 2010 CDL has a ground resolution of ...

Cropland Data Layer, New York State, 2009 Raster Cornell University

2009. United States Department of Agriculture (USDA), National Agricultural Statistics Service (NASS), Research and Development Division (RDD), Geospatial Information Branch (GIB), Spatial Analysis Research Section (SARS). The USDA, NASS Cropland Data Layer (CDL) is a raster, geo-referenced, crop-specific land cover data layer with a ground resolution of 56 meters. Th...

Cropland Data Layer, New York State, 2008 Raster Cornell University

2008. United States Department of Agriculture (USDA), National Agricultural Statistics Service (NASS), Research and Development Division (RDD), Geospatial Information Branch (GIB), Spatial Analysis Research Section (SARS). The USDA, NASS Cropland Data Layer (CDL) is a raster, geo-referenced, crop-specific land cover data layer with a ground resolution of 56 meters. Th...

Land Use and Land Cover, Tompkins County, 2007 Polygon Cornell University

2007. Tompkins County Planning Department. The Tompkins County Planning Department produced a land use and land cover data set of Tompkins County, NY in 1995 and in 2009 updated the data usi...

NLCD Land Cover, New York, 2006 Raster Cornell University

2006. U.S. Geological Survey. The National Land Cover Database products are created through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) C...

Land Use and Land Cover, Cayuga Lake watershed, 2004 Polygon Cornell University

2004. Cayuga Lake Watershed Network and Nicholas Hollingshead, GIS Analyst. The dataset depicts land use/cover in the Cayuga Lake Watershed. This geographic dataset was constructed using a multi-resource approach. To map sm...

Impervious Areas, Cayuga Lake watershed, 2003 Polygon Cornell University

2003. Cayuga Lake Watershed Network and Nicholas Hollingshead, GIS Analyst. This dataset delineates impervious surfaces within the Cayuga Lake Watershed. However, the current dataset is limited to Cayuga County. These polyg...

NLCD 1992/2001 Retrofit Land Cover Change, New York Raster Cornell University

2003. U.S. Geological Survey. The National Land Cover Database 1992/2001 Change Product was produced through a cooperative project conducted by the Multi-Resolution Land Charact...

NLCD Developed Imperviousness, New York, 2001 Raster Cornell University

2001. U.S. Geological Survey. The National Land Cover Database 2001 urban imperviousness layer was produced through a cooperative project conducted by the Multi-Resolution Land ...

NLCD Land Cover, New York, 2001 Raster Cornell University

2001. U.S. Geological Survey. The National Land Cover Database 2001 Land Cover 2011 Edition layer is produced through a cooperative project conducted by the Multi-Resolution Lan...

NLCD Tree Canopy, New York, 2001 Raster Cornell University

2001. U.S. Geological Survey. The National Land Cover Database 2001 tree canopy layer was produced through a cooperative project conducted by the Multi-Resolution Land Character...

Land Use and Land Cover, Tompkins County NY, 1995 Polygon Cornell University

1995. Tompkins County ITS GIS Division and Tompkins County Planning Department. The Tompkins County Planning Department utilized inter-departmental mapping expertise of the Tompkins County Information Technology Services GIS Di...

Hudson River Valley Gap Analysis 30m Land Cover Raster Cornell University

1993. Hudson River Estuary Program (HREP). This land cover data of the Hudson River Valley (New York) has a 30m pixel resolution, and was derived from Landsat-5 satellite imagery from 1992 a...

NLCD Land Cover, New York, 1992 Raster Cornell University

1992. U.S. Geological Survey. The National Land Cover Database (NLCD) 1992 Land Cover layer was produced through a cooperative project conducted by the Multi-Resolution Land Cha...

1:250,000 Scale Land Use and Land Cover, New York, 1990 Polygon Cornell University

1990. U.S. Geological Survey and U.S. Environmental Protection Agency. This is derived from land use/land cover digital data collected by USGS and coverted to ARC/INFO by the EPA. This data is useful for environmental ...