Identification of blowing snow particles in images from a Multi-Angle Snowflake Camera
A new method to automatically discriminate between hydrometeors and blowing snow particles on Multi-Angle Snowflake Camera (MASC) images is introduced. The method uses four selected descriptors related to the image frequency, the number of particles detected per image, and their size and geometry to...
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Language: | English |
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Copernicus Publications
2020
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Online Access: | https://doi.org/10.5194/tc-14-367-2020 https://www.the-cryosphere.net/14/367/2020/tc-14-367-2020.pdf https://doaj.org/article/7b4d12bce08e405ca742781da3ae5ad7 |
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fttriple:oai:gotriple.eu:oai:doaj.org/article:7b4d12bce08e405ca742781da3ae5ad7 2023-05-15T13:37:11+02:00 Identification of blowing snow particles in images from a Multi-Angle Snowflake Camera M. Schaer C. Praz A. Berne 2020-01-01 https://doi.org/10.5194/tc-14-367-2020 https://www.the-cryosphere.net/14/367/2020/tc-14-367-2020.pdf https://doaj.org/article/7b4d12bce08e405ca742781da3ae5ad7 en eng Copernicus Publications doi:10.5194/tc-14-367-2020 1994-0416 1994-0424 https://www.the-cryosphere.net/14/367/2020/tc-14-367-2020.pdf https://doaj.org/article/7b4d12bce08e405ca742781da3ae5ad7 undefined The Cryosphere, Vol 14, Pp 367-384 (2020) geo info Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2020 fttriple https://doi.org/10.5194/tc-14-367-2020 2023-01-22T19:33:18Z A new method to automatically discriminate between hydrometeors and blowing snow particles on Multi-Angle Snowflake Camera (MASC) images is introduced. The method uses four selected descriptors related to the image frequency, the number of particles detected per image, and their size and geometry to classify each individual image. The classification task is achieved with a two-component Gaussian mixture model fitted on a subset of representative images of each class from field campaigns in Antarctica and Davos, Switzerland. The performance is evaluated by labeling the subset of images on which the model was fitted. An overall accuracy and a Cohen kappa score of 99.4 % and 98.8 %, respectively, are achieved. In a second step, the probabilistic information is used to flag images composed of a mix of blowing snow particles and hydrometeors, which turns out to occur frequently. The percentage of images belonging to each class from an entire austral summer in Antarctica and during a winter in Davos, respectively, is presented. The capability to distinguish precipitation, blowing snow and a mix of those in MASC images is highly relevant to disentangle the complex interactions between wind, snowflakes and snowpack close to the surface. Article in Journal/Newspaper Antarc* Antarctica The Cryosphere Unknown Austral The Cryosphere 14 1 367 384 |
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English |
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geo info M. Schaer C. Praz A. Berne Identification of blowing snow particles in images from a Multi-Angle Snowflake Camera |
topic_facet |
geo info |
description |
A new method to automatically discriminate between hydrometeors and blowing snow particles on Multi-Angle Snowflake Camera (MASC) images is introduced. The method uses four selected descriptors related to the image frequency, the number of particles detected per image, and their size and geometry to classify each individual image. The classification task is achieved with a two-component Gaussian mixture model fitted on a subset of representative images of each class from field campaigns in Antarctica and Davos, Switzerland. The performance is evaluated by labeling the subset of images on which the model was fitted. An overall accuracy and a Cohen kappa score of 99.4 % and 98.8 %, respectively, are achieved. In a second step, the probabilistic information is used to flag images composed of a mix of blowing snow particles and hydrometeors, which turns out to occur frequently. The percentage of images belonging to each class from an entire austral summer in Antarctica and during a winter in Davos, respectively, is presented. The capability to distinguish precipitation, blowing snow and a mix of those in MASC images is highly relevant to disentangle the complex interactions between wind, snowflakes and snowpack close to the surface. |
format |
Article in Journal/Newspaper |
author |
M. Schaer C. Praz A. Berne |
author_facet |
M. Schaer C. Praz A. Berne |
author_sort |
M. Schaer |
title |
Identification of blowing snow particles in images from a Multi-Angle Snowflake Camera |
title_short |
Identification of blowing snow particles in images from a Multi-Angle Snowflake Camera |
title_full |
Identification of blowing snow particles in images from a Multi-Angle Snowflake Camera |
title_fullStr |
Identification of blowing snow particles in images from a Multi-Angle Snowflake Camera |
title_full_unstemmed |
Identification of blowing snow particles in images from a Multi-Angle Snowflake Camera |
title_sort |
identification of blowing snow particles in images from a multi-angle snowflake camera |
publisher |
Copernicus Publications |
publishDate |
2020 |
url |
https://doi.org/10.5194/tc-14-367-2020 https://www.the-cryosphere.net/14/367/2020/tc-14-367-2020.pdf https://doaj.org/article/7b4d12bce08e405ca742781da3ae5ad7 |
geographic |
Austral |
geographic_facet |
Austral |
genre |
Antarc* Antarctica The Cryosphere |
genre_facet |
Antarc* Antarctica The Cryosphere |
op_source |
The Cryosphere, Vol 14, Pp 367-384 (2020) |
op_relation |
doi:10.5194/tc-14-367-2020 1994-0416 1994-0424 https://www.the-cryosphere.net/14/367/2020/tc-14-367-2020.pdf https://doaj.org/article/7b4d12bce08e405ca742781da3ae5ad7 |
op_rights |
undefined |
op_doi |
https://doi.org/10.5194/tc-14-367-2020 |
container_title |
The Cryosphere |
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14 |
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1 |
container_start_page |
367 |
op_container_end_page |
384 |
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1766088971515854848 |