InSAR analysis of surface deformation over permafrost to estimate active layer thickness based on one-dimensional heat transfer model of soils
This paper presents a novel method to estimate active layer thickness (ALT) over permafrost based on InSAR (Interferometric Synthetic Aperture Radar) observation and the heat transfer model of soils. The time lags between the periodic feature of InSAR-observed surface deformation over permafrost and...
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ftpubmed:oai:pubmedcentral.nih.gov:4611862 2023-05-15T13:03:00+02:00 InSAR analysis of surface deformation over permafrost to estimate active layer thickness based on one-dimensional heat transfer model of soils Li, Zhiwei Zhao, Rong Hu, Jun Wen, Lianxing Feng, Guangcai Zhang, Zeyu Wang, Qijie 2015-10-20 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4611862/ http://www.ncbi.nlm.nih.gov/pubmed/26480892 https://doi.org/10.1038/srep15542 en eng Nature Publishing Group http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4611862/ http://www.ncbi.nlm.nih.gov/pubmed/26480892 http://dx.doi.org/10.1038/srep15542 Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ CC-BY Article Text 2015 ftpubmed https://doi.org/10.1038/srep15542 2015-11-08T01:37:38Z This paper presents a novel method to estimate active layer thickness (ALT) over permafrost based on InSAR (Interferometric Synthetic Aperture Radar) observation and the heat transfer model of soils. The time lags between the periodic feature of InSAR-observed surface deformation over permafrost and the meteorologically recorded temperatures are assumed to be the time intervals that the temperature maximum to diffuse from the ground surface downward to the bottom of the active layer. By exploiting the time lags and the one-dimensional heat transfer model of soils, we estimate the ALTs. Using the frozen soil region in southern Qinghai-Tibet Plateau (QTP) as examples, we provided a conceptual demonstration of the estimation of the InSAR pixel-wise ALTs. In the case study, the ALTs are ranging from 1.02 to 3.14 m and with an average of 1.95 m. The results are compatible with those sparse ALT observations/estimations by traditional methods, while with extraordinary high spatial resolution at pixel level (~40 meter). The presented method is simple, and can potentially be used for deriving high-resolution ALTs in other remote areas similar to QTP, where only sparse observations are available now. Text Active layer thickness permafrost PubMed Central (PMC) Scientific Reports 5 1 |
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Article Li, Zhiwei Zhao, Rong Hu, Jun Wen, Lianxing Feng, Guangcai Zhang, Zeyu Wang, Qijie InSAR analysis of surface deformation over permafrost to estimate active layer thickness based on one-dimensional heat transfer model of soils |
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Article |
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This paper presents a novel method to estimate active layer thickness (ALT) over permafrost based on InSAR (Interferometric Synthetic Aperture Radar) observation and the heat transfer model of soils. The time lags between the periodic feature of InSAR-observed surface deformation over permafrost and the meteorologically recorded temperatures are assumed to be the time intervals that the temperature maximum to diffuse from the ground surface downward to the bottom of the active layer. By exploiting the time lags and the one-dimensional heat transfer model of soils, we estimate the ALTs. Using the frozen soil region in southern Qinghai-Tibet Plateau (QTP) as examples, we provided a conceptual demonstration of the estimation of the InSAR pixel-wise ALTs. In the case study, the ALTs are ranging from 1.02 to 3.14 m and with an average of 1.95 m. The results are compatible with those sparse ALT observations/estimations by traditional methods, while with extraordinary high spatial resolution at pixel level (~40 meter). The presented method is simple, and can potentially be used for deriving high-resolution ALTs in other remote areas similar to QTP, where only sparse observations are available now. |
format |
Text |
author |
Li, Zhiwei Zhao, Rong Hu, Jun Wen, Lianxing Feng, Guangcai Zhang, Zeyu Wang, Qijie |
author_facet |
Li, Zhiwei Zhao, Rong Hu, Jun Wen, Lianxing Feng, Guangcai Zhang, Zeyu Wang, Qijie |
author_sort |
Li, Zhiwei |
title |
InSAR analysis of surface deformation over permafrost to estimate active layer thickness based on one-dimensional heat transfer model of soils |
title_short |
InSAR analysis of surface deformation over permafrost to estimate active layer thickness based on one-dimensional heat transfer model of soils |
title_full |
InSAR analysis of surface deformation over permafrost to estimate active layer thickness based on one-dimensional heat transfer model of soils |
title_fullStr |
InSAR analysis of surface deformation over permafrost to estimate active layer thickness based on one-dimensional heat transfer model of soils |
title_full_unstemmed |
InSAR analysis of surface deformation over permafrost to estimate active layer thickness based on one-dimensional heat transfer model of soils |
title_sort |
insar analysis of surface deformation over permafrost to estimate active layer thickness based on one-dimensional heat transfer model of soils |
publisher |
Nature Publishing Group |
publishDate |
2015 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4611862/ http://www.ncbi.nlm.nih.gov/pubmed/26480892 https://doi.org/10.1038/srep15542 |
genre |
Active layer thickness permafrost |
genre_facet |
Active layer thickness permafrost |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4611862/ http://www.ncbi.nlm.nih.gov/pubmed/26480892 http://dx.doi.org/10.1038/srep15542 |
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Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
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https://doi.org/10.1038/srep15542 |
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