CropScape and Cropland Data Layer - National Download

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National CDL's:

National Cultivated Layer:

National Frequency Layer:

  • Download the national crop frequency layer zipped file 2020 National Frequency Layer (2.1 GB)
  • The 2020 Crop Frequency Layer identifies crop specific planting frequency and are based on land cover information derived from the 2008 through 2020 CDL's. There are currently four individual crop frequency data layers that represent four major crops: corn, cotton, soybeans, and wheat.

National Confidence Layer:

The following description of the confidence layer is from the document titled 'MDA_NLCD_User_Guide.doc' which is available free for download with the NLCD Mapping Tool at http://www.mrlc.gov/. The Confidence Layer "spatially represents the predicted confidence that is associated with that output pixel, based upon the rule(s) that were used to classify it. This is useful in that the user can see the spatial representation of distribution and magnitude of error or confidence for a given classification... This error layer represents a percent confidence associated with each rule and output categorical, classified value. It is expressed as a percentage of confidence. A value of zero would therefore have a low confidence (always wrong), while a value of 100 would have a very high confidence (always right)." For more information on the use of confidence layers please refer to the following paper: Liu, Weiguo, Sucharita Gopal and Curtis E. Woodcock, 2004. Uncertainty and confidence in land cover classification using a hybrid classifier approach, Photogrammetric Engineering & Remote Sensing, 70(8):963-971. Ultimately, however, the confidence value is not a measure of accuracy for a given pixel but rather a how well it fit within the decision tree ruleset.

Crop Progress and Condition Gridded Layers

The Crop Progress and Condition Layers are gridded geospatial datasets which are fully synthetic representations of confidential, county level data. These new data are available for U.S. corn and soybeans, and eventually cotton and wheat. The current archive of these datasets span growing-season weeks for all years from 2015 to present. This Crop Progress and Condition document serves as an introduction of these data and is intended to give a useful overview of their origins, as well as their characteristics and limitations. The metadata for this dataset is posted below.

  • Download the Crop Progress and Condition 2020 dataset
  • Download the Crop Progress and Condition 2019 dataset
  • Download the Crop Progress and Condition 2018 dataset
  • Download the Crop Progress and Condition 2017 dataset
  • Download the Crop Progress and Condition 2016 dataset
  • Download the Crop Progress and Condition 2015 dataset
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    Crop Condition Metadata
    Crop Progress Metadata

     

     

     

     

    Last Modified: 03/02/2021