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Agriculture & Cropland Data

USDA Cropland Data Layer (CDL)

USDA CDL provides annual 30m crop-specific land cover for the continental US with over 100 crop types since 1997.

Format GeoTIFF
Coverage Contiguous United States
Resolution 30m
License Public domain (US government)
Update Annual
Download source Open official source

Format

GeoTIFF

Geometry

Raster (crop classification)

Coverage

Contiguous United States

Resolution

30m

About this dataset

USDA annual crop-specific land cover for the contiguous US at 30m resolution since 1997.

The USDA Cropland Data Layer (CDL) provides crop-specific land cover classification for the contiguous United States at 30m resolution, updated annually since 1997. It distinguishes over 100 crop types including corn, soybeans, wheat, cotton, and rice, derived from satellite imagery (Landsat, Sentinel-2) and ground truth data.

Crop type mapping Agricultural policy analysis Crop rotation studies Irrigated area assessment

How to download

  1. 1 Open the CropScape viewer.
  2. 2 Navigate to your area of interest.
  3. 3 Select the year and crop layer.
  4. 4 Download the 30m GeoTIFF for use in QGIS or analysis software.

CropScape

Interactive viewer and download

→

USDA Geospatial Data Gateway

Bulk download by state and year

→

FAQ

What crops are distinguished in CDL?

CDL distinguishes over 100 crop types including corn, soybeans, winter wheat, spring wheat, cotton, rice, sorghum, barley, oats, peanuts, sunflowers, alfalfa, and others.

How accurate is the CDL?

Major crop classes typically achieve 85-95% classification accuracy. Accuracy varies by crop type and region, with corn and soybeans being the most accurate.