LGRIP30: Global Rainfed Cropland Map at 30m Resolution

Conterminous United States (CONUS) data provides a 30-meter resolution classification of rainfed cropland for a nominal 2020 baseline. The dataset, derived from Landsat 8 time-series data (2019-2021), identifies 24 types of rainfed agriculture, irrigated land, non-cropland, and water bodies. It is an extension of the Global Food Security-support Analysis Data (GFSAD) project, with Version 2 aiming for improved accuracy over the previous 2015 product.

Use Cases

• Assessing rainfed agricultural extent and type for food security analysis based on the 24-class classification.
• Modeling water resource needs and sustainability by isolating cropland dependent solely on precipitation.
• Monitoring land-use change over time by comparing this 2020 nominal product with future or past versions.
• Validating regional agricultural statistics using the 30-meter resolution geospatial data for CONUS.

Strengths

• High spatial resolution of 30 meters enables detailed field-level analysis.
• Product is based on Landsat 8 time-series data from 2019-2021, providing a multi-temporal foundation.
• Includes an accuracy assessment layer for each 10°x10° tile, supporting validation of the classification.

Limitations

• Current geographic coverage is limited to the conterminous United States (CONUS); global data is promised for a later date.
• Metadata for row count, file size, and specific column names is not provided across platforms.
• Conflicting 'last updated' dates (2026-04-10 vs 2021-12-31) create uncertainty about the most recent metadata revision.

Provenance

Source

LPCLOUD, as an extension of the USGS GFSAD project.

Collection Method

Produced using Landsat 8 Operational Land Imager (OLI) time-series satellite sensor data.

Time Range

2019-2021 (used to create a nominal 2020 product).

Freshness

2026-04-10 01:37:45.257940

Geography

Conterminous United States (CONUS).