Using MODIS Land Surface Temperatures for Permafrost Thermal Modeling in Beiluhe Basin on the Qinghai-Tibet Plateau

Using MODIS Land Surface Temperatures for Permafrost Thermal Modeling in Beiluhe Basin on the Qinghai-Tibet Plateau

It is essential to monitor the ground temperature over large areas to understand and predict the effects of climate change on permafrost due to its rapid warming on the Qinghai-Tibet Plateau (QTP). Land surface temperature (LST) is an important parameter for the energy budget of permafrost environme...

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Main Authors: Anyuan Li, Caichu Xia, Chunyan Bao, Guoan Yin
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Sensors
Subjects:
remote sensing
permafrost thermal modeling
surface temperature
qinghai-tibet plateau
Online Access:https://www.mdpi.com/1424-8220/19/19/4200
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spelling doaj-8c56cc2caac044a5b7071dcd04cbc2b32020-11-25T01:35:59ZengMDPI AGSensors1424-82202019-09-011919420010.3390/s19194200s19194200Using MODIS Land Surface Temperatures for Permafrost Thermal Modeling in Beiluhe Basin on the Qinghai-Tibet PlateauAnyuan Li0Caichu Xia1Chunyan Bao2Guoan Yin3College of Civil Engineering, Shaoxing University, Shaoxing 31200, ChinaCollege of Civil Engineering, Shaoxing University, Shaoxing 31200, ChinaCollege of Civil Engineering, Shaoxing University, Shaoxing 31200, ChinaState Key Laboratory of Frozen Soil Engineering, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, ChinaIt is essential to monitor the ground temperature over large areas to understand and predict the effects of climate change on permafrost due to its rapid warming on the Qinghai-Tibet Plateau (QTP). Land surface temperature (LST) is an important parameter for the energy budget of permafrost environments. Moderate Resolution Imaging Spectroradiometer (MODIS) LST products are especially valuable for detecting permafrost thermal dynamics across the QTP. This study presents a comparison of MODIS-LST values with in situ near-surface air temperature (<i>T<sub>a</sub></i>), and ground surface temperature (GST) obtained from 2014 to 2016 at five sites in Beiluhe basin, a representative permafrost region on the QTP. Furthermore, the performance of the thermal permafrost model forced by MODIS-LSTs was studied. Averaged LSTs are found to strongly correlated with <i>T<sub>a</sub></i> and GST with <i>R</i><sup>2</sup> values being around 0.9. There is a significant warm bias (4.43&#8722;4.67 &#176;C) between averaged LST and T<sub>a</sub>, and a slight warm bias (0.67&#8722;2.66 &#176;C) between averaged LST and GST. This study indicates that averaged MODIS-LST is supposed to be a useful data source for permafrost monitoring. The modeled ground temperatures and active-layer thickness have a good agreement with the measurements, with a difference of less than 1.0 &#176;C and 0.4 m, respectively.https://www.mdpi.com/1424-8220/19/19/4200remote sensingpermafrost thermal modelingsurface temperatureqinghai-tibet plateau
collection DOAJ
language English
format Article
sources DOAJ
author Anyuan Li
Caichu Xia
Chunyan Bao
Guoan Yin
spellingShingle Anyuan Li
Caichu Xia
Chunyan Bao
Guoan Yin
Using MODIS Land Surface Temperatures for Permafrost Thermal Modeling in Beiluhe Basin on the Qinghai-Tibet Plateau
Sensors
remote sensing
permafrost thermal modeling
surface temperature
qinghai-tibet plateau
author_facet Anyuan Li
Caichu Xia
Chunyan Bao
Guoan Yin
author_sort Anyuan Li
title Using MODIS Land Surface Temperatures for Permafrost Thermal Modeling in Beiluhe Basin on the Qinghai-Tibet Plateau
title_short Using MODIS Land Surface Temperatures for Permafrost Thermal Modeling in Beiluhe Basin on the Qinghai-Tibet Plateau
title_full Using MODIS Land Surface Temperatures for Permafrost Thermal Modeling in Beiluhe Basin on the Qinghai-Tibet Plateau
title_fullStr Using MODIS Land Surface Temperatures for Permafrost Thermal Modeling in Beiluhe Basin on the Qinghai-Tibet Plateau
title_full_unstemmed Using MODIS Land Surface Temperatures for Permafrost Thermal Modeling in Beiluhe Basin on the Qinghai-Tibet Plateau
title_sort using modis land surface temperatures for permafrost thermal modeling in beiluhe basin on the qinghai-tibet plateau
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2019-09-01
description It is essential to monitor the ground temperature over large areas to understand and predict the effects of climate change on permafrost due to its rapid warming on the Qinghai-Tibet Plateau (QTP). Land surface temperature (LST) is an important parameter for the energy budget of permafrost environments. Moderate Resolution Imaging Spectroradiometer (MODIS) LST products are especially valuable for detecting permafrost thermal dynamics across the QTP. This study presents a comparison of MODIS-LST values with in situ near-surface air temperature (<i>T<sub>a</sub></i>), and ground surface temperature (GST) obtained from 2014 to 2016 at five sites in Beiluhe basin, a representative permafrost region on the QTP. Furthermore, the performance of the thermal permafrost model forced by MODIS-LSTs was studied. Averaged LSTs are found to strongly correlated with <i>T<sub>a</sub></i> and GST with <i>R</i><sup>2</sup> values being around 0.9. There is a significant warm bias (4.43&#8722;4.67 &#176;C) between averaged LST and T<sub>a</sub>, and a slight warm bias (0.67&#8722;2.66 &#176;C) between averaged LST and GST. This study indicates that averaged MODIS-LST is supposed to be a useful data source for permafrost monitoring. The modeled ground temperatures and active-layer thickness have a good agreement with the measurements, with a difference of less than 1.0 &#176;C and 0.4 m, respectively.
topic remote sensing
permafrost thermal modeling
surface temperature
qinghai-tibet plateau
url https://www.mdpi.com/1424-8220/19/19/4200
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