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Scattering And Absorption of Light in Planetary Regoliths

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Published on: July 1, 2019

Radiative transfer solution for rugged and heterogeneous scene observations.

C Miesch¹, X Briottet, Y H Kerr

¹Département d'Optique Théorique et Appliquée, Office National d'Etudes et de Recherches Aérospatiales, 2 avenue E Belin, 31400 Toulouse, France. christophe.miesch@onecert.fr

|March 21, 2008

Summary

A new algorithm, Advanced Modeling of the Atmospheric Radiative Transfer for Inhomogeneous Surfaces (AMARTIS), accurately models radiative transfer for complex surfaces. It validates well against reference codes, showing less than 2% divergence for satellite signals.

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Area of Science:

Atmospheric physics
Radiative transfer modeling
Remote sensing

Background:

Accurate radiative transfer modeling is crucial for remote sensing.
Existing models often struggle with complex surface topographies and heterogeneity.
The solar reflective spectral domain requires specialized algorithms.

Purpose of the Study:

To develop a novel physical algorithm for radiative transfer in the solar reflective domain.
To create the Advanced Modeling of the Atmospheric Radiative Transfer for Inhomogeneous Surfaces (AMARTIS) code.
To ensure the model accounts for surface relief, heterogeneity, and bidirectional reflectance.

Main Methods:

Developed a physical algorithm to solve radiative transfer problems.
Implemented the Advanced Modeling of the Atmospheric Radiative Transfer for Inhomogeneous Surfaces (AMARTIS) code.
Separately modeled irradiance and radiance components at ground and sensor levels.
Validated AMARTIS against a Monte Carlo radiative transfer code using diverse surface scenes.

Main Results:

AMARTIS demonstrates high accuracy, with less than 2% divergence compared to a reference Monte Carlo code.
The model effectively assesses environmental and topographic effects, even when dominant.
Validations were performed on flat, sandy, and mountainous terrain configurations.

Conclusions:

The AMARTIS code provides an accurate and efficient solution for radiative transfer problems in heterogeneous surface environments.
The algorithm successfully balances accuracy and computation time.
AMARTIS is a valuable tool for remote sensing applications requiring precise atmospheric and surface interaction modeling.