# Cropland Data Layer 30 m

USDA

## Description

This dataset characterises the land surface into cropland and non-cropland land cover classes at 30 m spatial resolution. Coverage is for the conterminous United States annually from 2008 onwards. Pixels are assigned one of 135 land cover classes and an associated confidence score.

## Summary

- **ID:** 86bb24b3-c6c8-4a6c-8641-ae899852e3e3
- **Type:** Raster
- **CRS:** EPSG:5070
- **Spatial coverage:** Conterminous US
- **Spatial resolution:** 30 m
- **Temporal coverage:** 2008+
- **Temporal resolution:** Annual

## Usage notes

New time points are delivered annually in Q1 for the previous year. Spatial coverage is limited to the conterminous United States. Data from 2024 onwards is resampled from the Cropland Data Layer 10 m dataset for continuity. Confidence scores are only available from 2017-2023. Classifications are optimised for agricultural land cover, with non-agricultural land cover classes derived from the USGS National Land Cover Database. For non-agricultural use cases, consider using the Annual National Land Cover Database directly.

## Variables

### land_cover_class
- **Type:** float32
- **NoData:** 0
Index of the predicted land cover class. Predictions are made using decision tree classifiers trained on USDA Farm Service Agency Common Land Unit and USGS National Land Cover Database data, using Landsat and Sentinel-2 satellite data.

### land_cover_confidence
- **Type:** float32
- **Units:** %
- **NoData:** 0
Percent confidence for land cover class classification.

## Pricing

This dataset has no data acquisition cost.