Permafrost Distribution along the Qinghai-Tibet Engineering Corridor, China Using High-Resolution Statistical Mapping and Modeling Integrated with Remote Sensing and GIS

Permafrost distribution in the Qinghai-Tibet Engineering Corridor (QTEC) is of growing interest due to the increase in infrastructure development in this remote area. Empirical models of mountain permafrost distribution have been established based on field sampled data, as a tool for regional-scale...

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Published in:Remote Sensing
Main Authors: Fujun Niu, Guoan Yin, Jing Luo, Zhanju Lin, Minghao Liu
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2018
Subjects:
Online Access:https://doi.org/10.3390/rs10020215
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author Fujun Niu
Guoan Yin
Jing Luo
Zhanju Lin
Minghao Liu
author_facet Fujun Niu
Guoan Yin
Jing Luo
Zhanju Lin
Minghao Liu
author_sort Fujun Niu
collection MDPI Open Access Publishing
container_issue 2
container_start_page 215
container_title Remote Sensing
container_volume 10
description Permafrost distribution in the Qinghai-Tibet Engineering Corridor (QTEC) is of growing interest due to the increase in infrastructure development in this remote area. Empirical models of mountain permafrost distribution have been established based on field sampled data, as a tool for regional-scale assessments of its distribution. This kind of model approach has never been applied for a large portion of this engineering corridor. In the present study, this methodology is applied to map permafrost distribution throughout the QTEC. After spatial modelling of the mean annual air temperature distribution from MODIS-LST and DEM, using high-resolution satellite image to interpret land surface type, a permafrost probability index was obtained. The evaluation results indicate that the model has an acceptable performance. Conditions highly favorable to permafrost presence (≥70%) are predicted for 60.3% of the study area, declaring a discontinuous permafrost distribution in the QTEC. This map is useful for the infrastructure development along the QTEC. In the future, local ground-truth observations will be required to confirm permafrost presence in favorable areas and to monitor permafrost evolution under the influence of climate change.
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op_doi https://doi.org/10.3390/rs10020215
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spelling ftmdpi:oai:mdpi.com:/2072-4292/10/2/215/ 2025-05-18T14:06:11+00:00 Permafrost Distribution along the Qinghai-Tibet Engineering Corridor, China Using High-Resolution Statistical Mapping and Modeling Integrated with Remote Sensing and GIS Fujun Niu Guoan Yin Jing Luo Zhanju Lin Minghao Liu agris 2018-02-01 application/pdf https://doi.org/10.3390/rs10020215 eng eng Multidisciplinary Digital Publishing Institute Remote Sensing in Geology, Geomorphology and Hydrology https://dx.doi.org/10.3390/rs10020215 https://creativecommons.org/licenses/by/4.0/ Remote Sensing Volume 10 Issue 2 Pages: 215 statistical model permafrost map remote sensing Qinghai-Tibet Plateau Text 2018 ftmdpi https://doi.org/10.3390/rs10020215 2025-04-22T00:41:02Z Permafrost distribution in the Qinghai-Tibet Engineering Corridor (QTEC) is of growing interest due to the increase in infrastructure development in this remote area. Empirical models of mountain permafrost distribution have been established based on field sampled data, as a tool for regional-scale assessments of its distribution. This kind of model approach has never been applied for a large portion of this engineering corridor. In the present study, this methodology is applied to map permafrost distribution throughout the QTEC. After spatial modelling of the mean annual air temperature distribution from MODIS-LST and DEM, using high-resolution satellite image to interpret land surface type, a permafrost probability index was obtained. The evaluation results indicate that the model has an acceptable performance. Conditions highly favorable to permafrost presence (≥70%) are predicted for 60.3% of the study area, declaring a discontinuous permafrost distribution in the QTEC. This map is useful for the infrastructure development along the QTEC. In the future, local ground-truth observations will be required to confirm permafrost presence in favorable areas and to monitor permafrost evolution under the influence of climate change. Text permafrost MDPI Open Access Publishing Remote Sensing 10 2 215
spellingShingle statistical model
permafrost map
remote sensing
Qinghai-Tibet Plateau
Fujun Niu
Guoan Yin
Jing Luo
Zhanju Lin
Minghao Liu
Permafrost Distribution along the Qinghai-Tibet Engineering Corridor, China Using High-Resolution Statistical Mapping and Modeling Integrated with Remote Sensing and GIS
title Permafrost Distribution along the Qinghai-Tibet Engineering Corridor, China Using High-Resolution Statistical Mapping and Modeling Integrated with Remote Sensing and GIS
title_full Permafrost Distribution along the Qinghai-Tibet Engineering Corridor, China Using High-Resolution Statistical Mapping and Modeling Integrated with Remote Sensing and GIS
title_fullStr Permafrost Distribution along the Qinghai-Tibet Engineering Corridor, China Using High-Resolution Statistical Mapping and Modeling Integrated with Remote Sensing and GIS
title_full_unstemmed Permafrost Distribution along the Qinghai-Tibet Engineering Corridor, China Using High-Resolution Statistical Mapping and Modeling Integrated with Remote Sensing and GIS
title_short Permafrost Distribution along the Qinghai-Tibet Engineering Corridor, China Using High-Resolution Statistical Mapping and Modeling Integrated with Remote Sensing and GIS
title_sort permafrost distribution along the qinghai-tibet engineering corridor, china using high-resolution statistical mapping and modeling integrated with remote sensing and gis
topic statistical model
permafrost map
remote sensing
Qinghai-Tibet Plateau
topic_facet statistical model
permafrost map
remote sensing
Qinghai-Tibet Plateau
url https://doi.org/10.3390/rs10020215