Imagery > Raster data > Pennsylvania > 2015-2019

Cropland Data Layer 2017 (PA_CDL_30m_USDA-NASS) [Pennsylvania] {2017}

United States. Department of Agriculture · 2017 Full Details

Full Details

Title
Cropland Data Layer 2017 (PA_CDL_30m_USDA-NASS) [Pennsylvania] {2017}
Description
The USDA, NASS Cropland Data Layer (CDL) is a raster, geo-referenced, crop-specific land cover data layer. The CDL has a ground resolution of 30 meters. The CDL is produced using satellite imagery from the Landsat 8 OLI/TIRS sensor, Landsat 7 ETM+ sensor, and the Disaster Monitoring Constellation (DMC) DEIMOS-1 and UK2 sensors collected during the current growing season. Some CDL states used additional satellite imagery and ancillary inputs to supplement and improve the classification. These additional sources can include the United States Geological Survey (USGS) National Elevation Dataset (NED), the imperviousness and canopy data layers from the USGS National Land Cover Database 2006 (NLCD 2006), and the National Aeronautics and Space Administration (NASA) Moderate Resolution Imaging Spectroradiometer (MODIS) 250 meter 16 day Normalized Difference Vegetation Index (NDVI) composites. Agricultural training and validation data are derived from the Farm Service Agency (FSA) Common Land Unit (CLU) Program. The NLCD 2006 is used as non-agricultural training and validation data. Please refer to the 'Supplemental_Information' Section of this metadata file for a complete list of all imagery, ancillary data, and training/validation data used to generate this state's CDL. The strength and emphasis of the CDL is agricultural land cover. Please note that no farmer reported data are derivable from the Cropland Data Layer.
Creator
United States. Department of Agriculture
Date Issued
2017
Access Rights
Public
Format
File
Language
English
Date Added
February 22, 2023

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  • Citation
    United States. Department of Agriculture (2017). Cropland Data Layer 2017 (PA_CDL_30m_USDA-NASS) [Pennsylvania] {2017}. . https://www.pasda.psu.edu/uci/DataSummary.aspx?dataset=2510 (imagery)
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