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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Main Authors: Qin, Yuanyuan, Lu, Ping, Wu, Jicang
Format: Text
Language:unknown
Published: Taylor & Francis 2023
Subjects:
Online Access: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
id ftdatacite:10.6084/m9.figshare.24356290
record_format openpolar
spelling 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)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Space Science
Environmental Sciences not elsewhere classified
Ecology
FOS Biological sciences
Inorganic Chemistry
FOS Chemical sciences
spellingShingle 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
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