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Reflectance Modeling for Real Snow Structures Using a Beam Tracing Model
It is important to understand reflective properties of snow, for example for remote sensing applications and for modeling of energy balances in snow packs. We present a method with which we can compare reflectance measurements and calculations for the same snow sample structures. Therefore, we first...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3675556/ https://www.ncbi.nlm.nih.gov/pubmed/27879890 http://dx.doi.org/10.3390/s8053482 |
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author | Bänninger, Dominik Bourgeois, Claude Saskia Matzl, Margret Schneebeli, Martin |
author_facet | Bänninger, Dominik Bourgeois, Claude Saskia Matzl, Margret Schneebeli, Martin |
author_sort | Bänninger, Dominik |
collection | PubMed |
description | It is important to understand reflective properties of snow, for example for remote sensing applications and for modeling of energy balances in snow packs. We present a method with which we can compare reflectance measurements and calculations for the same snow sample structures. Therefore, we first tomograph snow samples to acquire snow structure images (6 × 2 mm). Second, we calculated the sample reflectance by modeling the radiative transfer, using a beam tracing model. This model calculates the biconical reflectance (BR) derived from an arbitrary number of incident beams. The incident beams represent a diffuse light source. We applied our method to four different snow samples: Fresh snow, metamorphosed snow, depth hoar, and wet snow. The results show that (i) the calculated and measured reflectances agree well and (ii) the model produces different biconical reflectances for different snow types. The ratio of the structure to the wavelength is large. We estimated that the size parameter is larger than 50 in all cases we analyzed. Specific surface area of the snow samples explains most of the difference in radiance, but not the different biconical reflectance distributions. The presented method overcomes the limitations of common radiative transfer models which use idealized grain shapes such as spheres, plates, needles and hexagonal particles. With this method we could improve our understanding for changes in biconical reflectance distribution associated with changes in specific surface area. |
format | Online Article Text |
id | pubmed-3675556 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-36755562013-06-19 Reflectance Modeling for Real Snow Structures Using a Beam Tracing Model Bänninger, Dominik Bourgeois, Claude Saskia Matzl, Margret Schneebeli, Martin Sensors (Basel) Article It is important to understand reflective properties of snow, for example for remote sensing applications and for modeling of energy balances in snow packs. We present a method with which we can compare reflectance measurements and calculations for the same snow sample structures. Therefore, we first tomograph snow samples to acquire snow structure images (6 × 2 mm). Second, we calculated the sample reflectance by modeling the radiative transfer, using a beam tracing model. This model calculates the biconical reflectance (BR) derived from an arbitrary number of incident beams. The incident beams represent a diffuse light source. We applied our method to four different snow samples: Fresh snow, metamorphosed snow, depth hoar, and wet snow. The results show that (i) the calculated and measured reflectances agree well and (ii) the model produces different biconical reflectances for different snow types. The ratio of the structure to the wavelength is large. We estimated that the size parameter is larger than 50 in all cases we analyzed. Specific surface area of the snow samples explains most of the difference in radiance, but not the different biconical reflectance distributions. The presented method overcomes the limitations of common radiative transfer models which use idealized grain shapes such as spheres, plates, needles and hexagonal particles. With this method we could improve our understanding for changes in biconical reflectance distribution associated with changes in specific surface area. Molecular Diversity Preservation International (MDPI) 2008-05-26 /pmc/articles/PMC3675556/ /pubmed/27879890 http://dx.doi.org/10.3390/s8053482 Text en © 2008 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. This article is an open-access article distributed under the terms and conditions of the CreativeCommons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Bänninger, Dominik Bourgeois, Claude Saskia Matzl, Margret Schneebeli, Martin Reflectance Modeling for Real Snow Structures Using a Beam Tracing Model |
title | Reflectance Modeling for Real Snow Structures Using a Beam Tracing Model |
title_full | Reflectance Modeling for Real Snow Structures Using a Beam Tracing Model |
title_fullStr | Reflectance Modeling for Real Snow Structures Using a Beam Tracing Model |
title_full_unstemmed | Reflectance Modeling for Real Snow Structures Using a Beam Tracing Model |
title_short | Reflectance Modeling for Real Snow Structures Using a Beam Tracing Model |
title_sort | reflectance modeling for real snow structures using a beam tracing model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3675556/ https://www.ncbi.nlm.nih.gov/pubmed/27879890 http://dx.doi.org/10.3390/s8053482 |
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