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Full catalog/GHISACASIA
GHISACASIA·v001·dataset

Spectral fingerprints of Central Asian crops

Global Hyperspectral Imaging Spectral-library of Agricultural crops for Central Asia V001
land NASA LPCLOUD Level 4 Excel
In plain English

What it measures. A reference catalog of the exact colors of light reflected by Central Asian crops, captured across hundreds of narrow wavelength slices. It covers wheat, rice, corn, alfalfa, and cotton at different growth stages on two irrigated farm areas in the Syr Darya river basin.

How it's made. Built from EO-1 Hyperion satellite imagery acquired in 2007 plus thousands of hand-held spectroradiometer readings taken in the fields in 2006 and 2007, then cleaned and standardized into a spectral library.

How & where you'd use it. Serves as a fingerprint guide so researchers can identify which crop is growing where from satellite images, and track crop health and growth stage across irrigated farmland.

What's measured

AGRICULTURE › AGRICULTURAL PLANT SCIENCE

Coverage & cadence

  • Time span2006-04-30 → 2007-08-28
  • Measured byEO-1 (HYPERION) · FIELD SURVEYS (Field Spectroradiometer)
  • Processing levelLevel 4
  • Spatial extent56, 36, 77, 45
  • FormatsExcel
  • StatusCOMPLETE

What you can do with it

  • Track deforestation, fire scars and land-cover change
  • Monitor crop and vegetation health (NDVI/EVI)
  • Map how built-up vs. green an area is over time
Official description

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., aircrafts and drones), and ground based hyperspectral imaging spectroscopy. The GHISA for Central Asia (GHISACASIA) Version 1 product provides dominant crop data (wheat, rice, corn, alfalfa, and cotton) in different growth stages across the Galaba and Kuva farm fields in the Syr Darya river basin in Central Asia. The GHISA hyperspectral library for the two irrigated areas was developed using Earth Observing-1 (EO-1) Hyperion hyperspectral data acquired in 2007 and ASD (Analytical Spectral Devices, Inc.) Spectroradiometer data acquired in 2006 and 2007. GHISACASIA is extracted from three Hyperion hyperspectral images and several thousands of field ASD Spectroradiometer data. Measurements were taken from 1,232 randomly chosen points scattered across the two farm sites throughout the growing season. All the processing algorithms are coded in Statistical Analysis System (SAS) format and available for download. Provided in the .xlsx files are the spectral library including image information, plot IDs, study area, instrument, Julian or acquisition date, and crop type labels for Central Asia sample fields.

Get the data

ghisacasia_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="GHISACASIA",
    version="001",
    bounding_box=(-122.5, 37.2, -121.8, 37.9),  # your area (W,S,E,N)
    temporal=("2024-01-01", "2024-12-31"),       # your dates
)
files = earthaccess.open(results)   # stream straight from LPCLOUD
Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package.