Recognition of crevasses with high‐resolution digital elevation models: Application of geomorphometric modeling and texture analysis
Abstract Crevasses—cracks in glaciers and ice sheets—pose a danger to polar researchers and glaciologists. We compare the capabilities of two techniques—geomorphometric modeling and texture analysis—to recognize open and hidden crevasses using high‐resolution digital elevation models (DEMs) generate...
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crwiley:10.1111/tgis.12790 2024-09-15T17:42:10+00:00 Recognition of crevasses with high‐resolution digital elevation models: Application of geomorphometric modeling and texture analysis Ishalina, Olga T. Bliakharskii, Dmitrii P. Florinsky, Igor V. 2021 http://dx.doi.org/10.1111/tgis.12790 https://onlinelibrary.wiley.com/doi/pdf/10.1111/tgis.12790 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/tgis.12790 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Transactions in GIS volume 25, issue 5, page 2529-2552 ISSN 1361-1682 1467-9671 journal-article 2021 crwiley https://doi.org/10.1111/tgis.12790 2024-07-30T04:21:14Z Abstract Crevasses—cracks in glaciers and ice sheets—pose a danger to polar researchers and glaciologists. We compare the capabilities of two techniques—geomorphometric modeling and texture analysis—to recognize open and hidden crevasses using high‐resolution digital elevation models (DEMs) generated from images collected by an unmanned aerial system (UAS). The first technique includes derivation of local morphometric variables; the second includes calculation of the Haralick texture features. The study area is represented by the first 30 km of a sledge route between the Progress and Vostok polar stations, East Antarctica. The UAS survey was performed by a Geoscan 201 Geodesy UAS. For the sledge route area, DEMs with resolutions of 0.25, 0.5, and 1 m were generated. Models of 12 morphometric variables and 11 texture features were derived from the DEMs. In terms of crevasse recognition, the most informative morphometric variable and texture feature was horizontal curvature and inverse difference moment, respectively. In most cases, derivation and mapping of these variables allow one to recognize crevasses wider than 3 m; narrower crevasses can be recognized for lengths from 500 m. For crevasse recognition, the geomorphometric modeling and the Haralick texture analysis can complement each other. Article in Journal/Newspaper Antarc* Antarctica East Antarctica Wiley Online Library Transactions in GIS 25 5 2529 2552 |
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Open Polar |
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Wiley Online Library |
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English |
description |
Abstract Crevasses—cracks in glaciers and ice sheets—pose a danger to polar researchers and glaciologists. We compare the capabilities of two techniques—geomorphometric modeling and texture analysis—to recognize open and hidden crevasses using high‐resolution digital elevation models (DEMs) generated from images collected by an unmanned aerial system (UAS). The first technique includes derivation of local morphometric variables; the second includes calculation of the Haralick texture features. The study area is represented by the first 30 km of a sledge route between the Progress and Vostok polar stations, East Antarctica. The UAS survey was performed by a Geoscan 201 Geodesy UAS. For the sledge route area, DEMs with resolutions of 0.25, 0.5, and 1 m were generated. Models of 12 morphometric variables and 11 texture features were derived from the DEMs. In terms of crevasse recognition, the most informative morphometric variable and texture feature was horizontal curvature and inverse difference moment, respectively. In most cases, derivation and mapping of these variables allow one to recognize crevasses wider than 3 m; narrower crevasses can be recognized for lengths from 500 m. For crevasse recognition, the geomorphometric modeling and the Haralick texture analysis can complement each other. |
format |
Article in Journal/Newspaper |
author |
Ishalina, Olga T. Bliakharskii, Dmitrii P. Florinsky, Igor V. |
spellingShingle |
Ishalina, Olga T. Bliakharskii, Dmitrii P. Florinsky, Igor V. Recognition of crevasses with high‐resolution digital elevation models: Application of geomorphometric modeling and texture analysis |
author_facet |
Ishalina, Olga T. Bliakharskii, Dmitrii P. Florinsky, Igor V. |
author_sort |
Ishalina, Olga T. |
title |
Recognition of crevasses with high‐resolution digital elevation models: Application of geomorphometric modeling and texture analysis |
title_short |
Recognition of crevasses with high‐resolution digital elevation models: Application of geomorphometric modeling and texture analysis |
title_full |
Recognition of crevasses with high‐resolution digital elevation models: Application of geomorphometric modeling and texture analysis |
title_fullStr |
Recognition of crevasses with high‐resolution digital elevation models: Application of geomorphometric modeling and texture analysis |
title_full_unstemmed |
Recognition of crevasses with high‐resolution digital elevation models: Application of geomorphometric modeling and texture analysis |
title_sort |
recognition of crevasses with high‐resolution digital elevation models: application of geomorphometric modeling and texture analysis |
publisher |
Wiley |
publishDate |
2021 |
url |
http://dx.doi.org/10.1111/tgis.12790 https://onlinelibrary.wiley.com/doi/pdf/10.1111/tgis.12790 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/tgis.12790 |
genre |
Antarc* Antarctica East Antarctica |
genre_facet |
Antarc* Antarctica East Antarctica |
op_source |
Transactions in GIS volume 25, issue 5, page 2529-2552 ISSN 1361-1682 1467-9671 |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1111/tgis.12790 |
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Transactions in GIS |
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25 |
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5 |
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2529 |
op_container_end_page |
2552 |
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1810488619316543488 |