Mapping thermokarst lakes in different physical states on the central Tibetan plateau ...
Mapping and monitoring the spatial–temporal evolution of thermokarst lakes on the Tibetan Plateau can significantly contribute to the estimation of climate change impacts on permafrost degradation. Remote sensing-based methods have been developed to monitor the interannual changes of thermokarst lak...
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2023
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ftdatacite:10.6084/m9.figshare.24356290 2024-01-28T10:08:35+01:00 Mapping thermokarst lakes in different physical states on the central Tibetan plateau ... Qin, Yuanyuan Lu, Ping Wu, Jicang 2023 https://dx.doi.org/10.6084/m9.figshare.24356290 https://tandf.figshare.com/articles/journal_contribution/Mapping_thermokarst_lakes_in_different_physical_states_on_the_central_Tibetan_plateau/24356290 unknown Taylor & Francis https://dx.doi.org/10.1080/17538947.2023.2268611 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Space Science Environmental Sciences not elsewhere classified Ecology FOS Biological sciences Inorganic Chemistry FOS Chemical sciences ScholarlyArticle Text Journal contribution article-journal 2023 ftdatacite https://doi.org/10.6084/m9.figshare.2435629010.1080/17538947.2023.2268611 2024-01-04T23:18:42Z Mapping and monitoring the spatial–temporal evolution of thermokarst lakes on the Tibetan Plateau can significantly contribute to the estimation of climate change impacts on permafrost degradation. Remote sensing-based methods have been developed to monitor the interannual changes of thermokarst lakes. However, the seasonal changes, which are vital for understanding thermokarst lake dynamics, are commonly overlooked. This paper developed automatic methods which integrated the normalized difference water index (NDWI), modified normalized difference water index (MNDWI), principal component analysis (PCA), and independent component analysis (ICA) with Markov random field (MRF) for rapid mapping of thermokarst lakes in different physical states characterized by season changes. To validate the effectiveness, the proposed methods were applied to map thermokarst lakes on the central Tibetan Plateau, using four Sentinel-2 images representing different evolutionary states. Specifically, the area-to-point regression ... Text permafrost Thermokarst DataCite Metadata Store (German National Library of Science and Technology) |
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DataCite Metadata Store (German National Library of Science and Technology) |
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Space Science Environmental Sciences not elsewhere classified Ecology FOS Biological sciences Inorganic Chemistry FOS Chemical sciences |
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Space Science Environmental Sciences not elsewhere classified Ecology FOS Biological sciences Inorganic Chemistry FOS Chemical sciences Qin, Yuanyuan Lu, Ping Wu, Jicang Mapping thermokarst lakes in different physical states on the central Tibetan plateau ... |
topic_facet |
Space Science Environmental Sciences not elsewhere classified Ecology FOS Biological sciences Inorganic Chemistry FOS Chemical sciences |
description |
Mapping and monitoring the spatial–temporal evolution of thermokarst lakes on the Tibetan Plateau can significantly contribute to the estimation of climate change impacts on permafrost degradation. Remote sensing-based methods have been developed to monitor the interannual changes of thermokarst lakes. However, the seasonal changes, which are vital for understanding thermokarst lake dynamics, are commonly overlooked. This paper developed automatic methods which integrated the normalized difference water index (NDWI), modified normalized difference water index (MNDWI), principal component analysis (PCA), and independent component analysis (ICA) with Markov random field (MRF) for rapid mapping of thermokarst lakes in different physical states characterized by season changes. To validate the effectiveness, the proposed methods were applied to map thermokarst lakes on the central Tibetan Plateau, using four Sentinel-2 images representing different evolutionary states. Specifically, the area-to-point regression ... |
format |
Text |
author |
Qin, Yuanyuan Lu, Ping Wu, Jicang |
author_facet |
Qin, Yuanyuan Lu, Ping Wu, Jicang |
author_sort |
Qin, Yuanyuan |
title |
Mapping thermokarst lakes in different physical states on the central Tibetan plateau ... |
title_short |
Mapping thermokarst lakes in different physical states on the central Tibetan plateau ... |
title_full |
Mapping thermokarst lakes in different physical states on the central Tibetan plateau ... |
title_fullStr |
Mapping thermokarst lakes in different physical states on the central Tibetan plateau ... |
title_full_unstemmed |
Mapping thermokarst lakes in different physical states on the central Tibetan plateau ... |
title_sort |
mapping thermokarst lakes in different physical states on the central tibetan plateau ... |
publisher |
Taylor & Francis |
publishDate |
2023 |
url |
https://dx.doi.org/10.6084/m9.figshare.24356290 https://tandf.figshare.com/articles/journal_contribution/Mapping_thermokarst_lakes_in_different_physical_states_on_the_central_Tibetan_plateau/24356290 |
genre |
permafrost Thermokarst |
genre_facet |
permafrost Thermokarst |
op_relation |
https://dx.doi.org/10.1080/17538947.2023.2268611 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.6084/m9.figshare.2435629010.1080/17538947.2023.2268611 |
_version_ |
1789337485487112192 |