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A Hyperspectral Bidirectional Reflectance Model for Land Surface.

Qiguang Yang1, Xu Liu2, Wan Wu1

  • 1Science Systems and Applications, Inc. (SSAI), Hampton, VA 23666, USA.

Sensors (Basel, Switzerland)
|August 14, 2020
PubMed
Summary
This summary is machine-generated.

A new hyperspectral bidirectional reflectance (HSBR) model uses a diverse database to simulate land surface spectra. This model improves hyperspectral surface reflectance generation from satellite data.

Keywords:
BRDFRoss-Li modelhyperspectral bidirectional reflectance modelland surfaceremote sensing

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Area of Science:

  • Remote Sensing
  • Earth Science
  • Geophysics

Background:

  • Accurate land surface reflectance is crucial for Earth observation.
  • Existing models may lack the diversity or accuracy needed for complex land surfaces.
  • Hyperspectral data offers detailed spectral information but requires sophisticated modeling.

Purpose of the Study:

  • To develop and validate a novel hyperspectral bidirectional reflectance (HSBR) model for land surfaces.
  • To create a comprehensive BRDF database for generating diverse spectral signatures.
  • To enhance the generation of hyperspectral surface reflectance from satellite measurements.

Main Methods:

  • Developed a HSBR model incorporating a large bidirectional reflectance distribution function (BRDF) database (~40,000 spectra).
  • Utilized Ross-Li parameters within the BRDF database to simulate hyperspectral reflectance across various geometries.
  • Implemented an improved method for generating hyperspectral surface reflectance using multiband satellite data.

Main Results:

  • The HSBR model successfully simulated land surface reflective spectra using BRDF parameters and limited wavelength data.
  • Validation against the USGS vegetation database and AVIRIS reflectance product showed excellent agreement (standard deviations <0.01).
  • Demonstrated the model's capability to accurately reproduce spectral signatures under different observation conditions.

Conclusions:

  • The developed HSBR model significantly enhances the quality of satellite and airborne sensor reflectance products.
  • The model is valuable for intercalibration of space-based instruments.
  • It plays a vital role in various land surface-related applications and research.