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[Atmospheric correction of hyperion hyperspectral image based on FLAASH]
Jin-guo Yuan1, Zheng Niu, Xi-ping Wang
1Hebei Key Laboratory of Environmental Change and Ecological Construction, College of Resource and Environmental Sciences, Hebei Normal University, Shijiazhuang 050016, China. yuanjinguo8@163.com
Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|August 5, 2009
Summary
The FLAASH atmospheric correction method effectively processed EO-1 Hyperion hyperspectral images, yielding results consistent with ground-based spectral data for quantitative remote sensing applications.
Area of Science:
- Remote Sensing
- Atmospheric Correction
- Quantitative Remote Sensing
Context:
- Accurate atmospheric correction is crucial for quantitative analysis of hyperspectral remote sensing data.
- The EO-1 Hyperion sensor provides valuable hyperspectral imagery for Earth observation.
Purpose:
- This study evaluates the effectiveness of FLAASH (Fast Line-of-Sight Atmospheric Analysis of Spectral Hypercubes) for atmospheric correction of EO-1 Hyperion data.
- The goal is to validate FLAASH's performance using field-measured spectral data.
Summary:
- Atmospheric correction was performed on EO-1 Hyperion imagery of Zhangye city using FLAASH.
- Ground truth data, including canopy spectra, biochemical components, and GPS data, were collected.
- FLAASH-corrected spectra were compared with field-measured ASD spectra, showing high consistency (R²=0.987).
Impact:
- The findings confirm FLAASH as a highly effective tool for atmospheric correction of hyperspectral imagery.
- This enhances the reliability of quantitative remote sensing applications using Hyperion data.
- Validated atmospheric correction improves the accuracy of derived biophysical parameters from satellite data.
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