Monitoring US agriculture: the US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program
Abstract
The National Agricultural Statistics Service (NASS) of the US Department of Agriculture (USDA) produces the Cropland Data Layer (CDL) product, which is a raster-formatted, geo-referenced, crop-specific, land cover map. CDL program inputs include medium resolution satellite imagery, USDA collected ground truth and other ancillary data, such as the National Land Cover Data set. A decision tree-supervised classification method is used to generate the freely available state-level crop cover classifications and provide crop acreage estimates based upon the CDL and NASS June Agricultural Survey ground truth to the NASS Agricultural Statistics Board. This paper provides an overview of the NASS CDL program. It describes various input data, processing procedures, classification and validation, accuracy assessment, CDL product specifications, dissemination venues and the crop acreage estimation methodology. In general, total crop mapping accuracies for the 2009 CDLs ranged from 85% to 95% for the major crop categories.
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“From the remaining soils (LCCs V– VIII), we further exclude those classified as urban as well as carbon dense habitats such as forests and wetlands as identified in the Cropland Data Layer (Boryan et al., 2011).”
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Self-citation
- Authors
- Boryan, C., Yang, Z., Mueller, R., & Craig, M.
- Affiliations
- National Agricultural Statistics Service (US)
- Corresponding author
- Boryan, Claire
- Venue
- Geocarto International
- Publisher
- Informa UK Limited
- Published
- 2011-08
- Volume
- 26
- Issue
- 5
- Pages
- 341-358
- ISSN
- 1010-6049 (ISSN-L)
- 1752-0762
- OpenAlex
- W2008085934
- Cited by
- 1,212
- References
- 0
- Citations by year
- 2026: 90 · 2025: 112 · 2024: 138 · 2023: 153 · 2022: 113 · 2021: 129 · 2020: 107 · 2019: 77 · 2018: 73 · 2017: 63 · 2016: 44 · 2015: 36 · 2014: 43 · 2013: 21 · 2012: 10
- FWCI
- 21.19
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Geocarto International (publishedVersion)
- Funders
- National Aeronautics and Space Administration
- Topics
- Physical Sciences › Environmental Science › Ecology › Remote Sensing in Agriculture
- Physical Sciences › Engineering › Media Technology › Remote-Sensing Image Classification
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Remote Sensing and Land Use
- Keywords
- Cropland Data Layer, crop mapping, crop area estimation, land cover mapping, decision tree classification, supervised classification, accuracy assessment, satellite imagery, ground truth, agricultural statistics
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