United States Department of Agriculture

Research and Science

Spatial Data

CroplandCROS hosts the Cropland Data Layer (CDL). The app allows users to geolocate farms and map areas of interest. To aid users, the app features a user guide and instructional videos. CroplandCROS was developed in cooperation with the Agricultural Research Service.

VegScape is a geospatial data service, which offers automated updates of vegetative conditions. It delivers interactive vegetation indices that enable quantification of U.S. crop conditions for exploring, visualizing, querying, and disseminating via interactive maps. It was developed in cooperation with the Center for Spatial Information Science and Systems at George Mason University.

Crop Condition and Soil Moisture Analytics (Crop-CASMA) is a web-based geospatial application. It is designed to remotely sense geospatial soil moisture and vegetation index data derived from NASA Soil Moisture Active Passive (SMAP) and Moderate Resolution Imaging Spectroradiometer (MODIS) missions to assess U.S. soil moisture condition and crop vegetation conditions.

Crop Sequence Boundaries are field polygons, geospatial datasets that produces estimates of field boundaries, crop acreage, and crop rotations across the U.S. It uses satellite imagery with other public data over a set time frame. It was developed in cooperation with the Economic Research Service.

Crop Progress and Condition Gridded 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.

Disaster Analysis - USDA-NASS can now monitor agricultural disasters in near real-time and provide quantitative assessments using remotely sensed data and geospatial techniques. View disaster assessments in geospatial data format, reports, and metadata as available.

Land Use Strata for Selected States - The USDA-NASS area sampling frame delineates all parcels of land for the purpose of sampling. The area frame is constructed by visually interpreting satellite imagery to divide a state into stratification classes (strata) based on percent of land used in cultivation. View the most recent land use strata map for each state.

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