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Reflectance Modeling for Real Snow Structures Using a Beam Tracing Model
Dominik Bänninger1, Claude Saskia Bourgeois2, Margret Matzl3
1Institute of Environmental Geosciences,Department of Environmental Sciences, University of Basel, Bernoullistrasse 30, 4056 Basel, Switzerland. dominik.baenninger@unibas.ch.
Sensors (Basel, Switzerland)
|November 24, 2016
Summary
Understanding snow
Area of Science:
- Snow physics
- Optical properties of materials
- Remote sensing
Background:
- Accurate modeling of snow's reflective properties is crucial for remote sensing and energy balance studies.
- Existing radiative transfer models often rely on simplified, idealized snow grain shapes.
Purpose of the Study:
- To present a novel method for comparing measured and calculated snow reflectance using realistic snow structures.
- To investigate how snow structure influences biconical reflectance (BR).
Main Methods:
- Snow samples were tomographed to obtain 3D structural images.
- Radiative transfer was modeled using a beam tracing model to calculate biconical reflectance (BR).
- The method was applied to fresh, metamorphosed, depth hoar, and wet snow samples.
Main Results:
- Calculated and measured reflectances showed good agreement across different snow types.
- The model successfully differentiated biconical reflectance distributions for various snow structures.
- Specific surface area influenced radiance but not BR distribution.
Conclusions:
- The developed method accurately models snow reflectance using tomographic data, overcoming limitations of idealized grain shapes.
- This approach enhances understanding of how snow structure and specific surface area affect biconical reflectance distributions.
- The findings are valuable for improving remote sensing applications and snow energy balance models.
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