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Related Experiment Video

Updated: Jun 13, 2026

Scattering And Absorption of Light in Planetary Regoliths

Scattering And Absorption of Light in Planetary Regoliths

Published on: July 1, 2019

Radiative transfer model for heterogeneous 3-D scenes.

D S Kimes¹, J A Kirchner

¹NASA Goddard Space Flight Center, Earth Resources Branch, Greenbelt, Maryland 20771, USA.

|April 20, 2010

Summary

This summary is machine-generated.

This study presents a mathematical framework for simulating radiative transfer in 3-D vegetative scenes. The model predicts directional spectral properties and shows promising initial results for soybean crops.

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Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

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Published on: May 20, 2013

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Last Updated: Jun 13, 2026

Scattering And Absorption of Light in Planetary Regoliths

Scattering And Absorption of Light in Planetary Regoliths

Published on: July 1, 2019

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

Published on: May 20, 2013

Area of Science:

* Remote Sensing
* Computer Simulation
* Radiative Transfer Theory

Background:

* Simulating radiative transfer in complex 3-D scenes is crucial for understanding vegetation properties.
* Existing models may lack the detail to capture directional spectral variations accurately.

Purpose of the Study:

* To develop a general mathematical framework for simulating radiative transfer in heterogeneous 3-D vegetative scenes.
* To create a model predicting directional spectral reflectance, absorption, and radiance.

Main Methods:

* A mathematical framework was designed and coded for radiative transfer simulations.
* The model incorporates sensor position and viewing angles to predict spectral properties.
* Verification involved comparison with measured data from a soybean row crop.

Main Results:

* The model successfully predicts directional spectral reflectance factors, spectral absorption, and directional spectral radiance.
* Simulated directional reflectance data showed good gross trend agreement with measured soybean crop data.
* The model adheres to established physical principles of radiative transfer.

Conclusions:

* The developed model provides a valuable tool for simulating radiative transfer in vegetative canopies.
* Further improvements are needed, particularly in incorporating advanced anisotropic scattering algorithms.
* The model shows potential for applications in remote sensing and ecological studies.