GHISACASIA: Hyperspectral Crop Signatures for Central Asia, 2006-2007

2006 and 2007 hyperspectral signatures for wheat, rice, corn, alfalfa, and cotton from farm fields in the Syr Darya river basin. The dataset contains measurements from 1,232 random points across two irrigated areas, derived from EO-1 Hyperion satellite data and ASD Spectroradiometer field data. It was compiled and harmonized by the United States Geological Survey (USGS) and partner agencies.

Use Cases

• Crop type classification based on hyperspectral signatures mentioned in the description
• Monitoring crop growth stages using spectral data acquired throughout a growing season
• Developing algorithms for agricultural remote sensing based on standardized spectral libraries
• Studying spectral characteristics of major crops in irrigated Central Asian environments

Strengths

• Contains 1,232 measurement points, providing a substantial sample size
• Covers five dominant crops (wheat, rice, corn, alfalfa, cotton) across different growth stages
• Integrates data from multiple sources: spaceborne (EO-1 Hyperion), airborne, and ground-based instruments
• Processing algorithms are provided in SAS format for reproducibility

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Data is from 2006-2007; freshness should be verified for contemporary applications
• Row count for the final spectral library tables is unknown, which may limit suitability assessment

Provenance

Source

United States Geological Survey (USGS) and partnering volunteer agencies

Collection Method

Collected and collated using spaceborne, airborne, and ground-based hyperspectral imaging spectroscopy

Time Range

2006-2007

Freshness

Last updated 2026-03-13 01:53:25.578876

Geography

Galaba and Kuva farm fields in the Syr Darya river basin, Central Asia