The Global Hyperspectral Imaging Spectral-library of Agricultural crops (GHISA) is a comprehensive compilation, collation, harmonization, and standardization of hyperspectral signatures of agricultural crops of the world. This hyperspectral library of agricultural crops is developed for all major world crops and was collected by United States Geological Survey (USGS) and partnering volunteer agencies from around the world. Crops include wheat, rice, barley, corn, soybeans, cotton, sugarcane, potatoes, chickpeas, lentils, and pigeon peas, which together occupy about 65% of all global cropland areas. The GHISA spectral libraries were collected and collated using spaceborne, airborne (e.g., aircraft and drones), and ground based hyperspectral imaging spectroscopy.

The GHISA spectral library for California’s Central Valley (CCV) derived from German Aerospace Center (DLR) Earth Sensing Imaging Spectrometer (DESIS) (GHISACCVDESIS) Version 1 product provides information for nine crop classes: cotton, grapes, hay, tomatoes, tree crops, winter wheat, other crops, fallow, and other. GHISACCVDESIS was developed using 75 DESIS hyperspectral images of California’s Central Valley acquired during the month of August for years 2021 through 2023. The United States Department of Agriculture (USDA) National Agricultural Statistics Service (NASS) Cropland Data Layer (CDL) was used as reference data.

The spectral library is provided in an Excel spreadsheet, which includes unique sample identifier, sample location (latitude and longitude), sensor product, acquisition month and year, reflectance spectra in percent surface reflectance, and crop class label for each sample point within California’s Central Valley.