Hyperspectral Surface Reflectance for Amazon Logging Analysis

A single 30-meter resolution hyperspectral image captured by the EO-1 Hyperion sensor over Mato Grosso, Brazil, on July 10, 2004. The data provides 242 spectral bands across 400-2500 nm, calibrated to apparent surface reflectance. It was collected by NASA/ORNL to study indicators of selective logging in the Amazon Basin.

Use Cases

• Estimating green canopy leaf area index from spectral reflectance.
• Mapping the degree of shadowing and non-photosynthetic vegetation material.
• Detecting the presence of exposed soil as an indicator of forest disturbance.
• Classifying complex land ecosystems using 242 spectral bands.
• Quantifying structural disturbance from various logging regimes in the eastern Amazon.

Strengths

• Provides 242 spectral bands with 10 nm resolution across 400-2500 nm, enabling detailed spectral analysis.
• Spatial resolution of 30 meters allows for landscape-scale analysis of forest structure.
• Data is calibrated to apparent surface reflectance using the ACORN atmospheric model.
• Specifically designed to derive four biogeophysical indicators of logging not available from other satellite sensors simultaneously.

Limitations

• Contains only a single scene from one date (July 2004), limiting temporal analysis.
• Spatial coverage is limited to a 7.8 km swath width over Mato Grosso.
• Sources conflict on the last updated date: one states 2004-07-10, another states 2026-03 13.

Provenance

Source

EO-1 Hyperion imaging spectrometer, collected by ORNL_CLOUD/NASA.

Collection Method

Satellite image calibrated to apparent surface reflectance using the ACORN atmospheric model.

Time Range

2004-07-10

Freshness

2026-03-13 01:14:19.256519

Geography

Mato Grosso, Brazil, in the eastern Amazon Basin.