Ground Surface Freezing and Thawing Index Distribution in the Qinghai-Tibet Engineering Corridor and Factors Analysis Based on GeoDetector Technique
The land surface temperature obtained from remote sensing was widely used in the simulation of permafrost mapping instead of air temperature with the rapid development of remote sensing technology. The land surface freezing and thawing index (LFI and LTI), which is commonly regarded as the ground su...
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| Format: | Article |
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MDPI AG
2022-12-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/15/1/208 |
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| author | Shen Ma Jingyi Zhao Ji Chen Shouhong Zhang Tianchun Dong Qihang Mei Xin Hou Guojun Liu |
| author_facet | Shen Ma Jingyi Zhao Ji Chen Shouhong Zhang Tianchun Dong Qihang Mei Xin Hou Guojun Liu |
| author_sort | Shen Ma |
| collection | DOAJ |
| description | The land surface temperature obtained from remote sensing was widely used in the simulation of permafrost mapping instead of air temperature with the rapid development of remote sensing technology. The land surface freezing and thawing index (LFI and LTI), which is commonly regarded as the ground surface freezing and thawing index (GFI and GTI), can produce certain errors in the simulation of permafrost distribution on the Qinghai–Tibet Plateau. This paper improved the accuracy of the thermal condition of the surface soil in the Qinghai–Tibet Engineering Corridor (QTEC) by calculating the LFI (or LTI) and N-factors. The environmental factors affecting the spatial distribution of the GFI and GTI were detected by the GeoDetector model. Finally, the multiple linear relationships between the GFI (or GTI) and the environmental factors were established. The results from 25 monitoring sites in the QTEC show that the <i>N<sub>f</sub></i> (ratio of GFI to LFI) is 1.088, and the <i>N<sub>t</sub></i> (ratio of GTI to LTI) is 0.554. The explanatory power of the interaction between elevation and latitude for the GFI and GTI is 79.3% and 85.6%, respectively. The multiple linear regression model with six explanatory variables established by GFI (or GTI) has good accuracy. This study can provide relatively accurate upper boundary conditions for the simulation of permafrost distribution in the QTEC region. |
| first_indexed | 2024-03-09T09:41:56Z |
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| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T09:41:56Z |
| publishDate | 2022-12-01 |
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| series | Remote Sensing |
| spelling | doaj.art-af3f20ad426b487fb1f355a9417dc5532023-12-02T00:51:43ZengMDPI AGRemote Sensing2072-42922022-12-0115120810.3390/rs15010208Ground Surface Freezing and Thawing Index Distribution in the Qinghai-Tibet Engineering Corridor and Factors Analysis Based on GeoDetector TechniqueShen Ma0Jingyi Zhao1Ji Chen2Shouhong Zhang3Tianchun Dong4Qihang Mei5Xin Hou6Guojun Liu7Beiluhe Observation and Research Station of Frozen Soil Engineering and Environment, State Key Laboratory of Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, ChinaBeiluhe Observation and Research Station of Frozen Soil Engineering and Environment, State Key Laboratory of Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, ChinaBeiluhe Observation and Research Station of Frozen Soil Engineering and Environment, State Key Laboratory of Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, ChinaChina Railway Qinghai-Tibet Group Co., Ltd., Xining 810007, ChinaChina Railway Qinghai-Tibet Group Co., Ltd., Xining 810007, ChinaBeiluhe Observation and Research Station of Frozen Soil Engineering and Environment, State Key Laboratory of Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, ChinaBeiluhe Observation and Research Station of Frozen Soil Engineering and Environment, State Key Laboratory of Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, ChinaBeiluhe Observation and Research Station of Frozen Soil Engineering and Environment, State Key Laboratory of Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, ChinaThe land surface temperature obtained from remote sensing was widely used in the simulation of permafrost mapping instead of air temperature with the rapid development of remote sensing technology. The land surface freezing and thawing index (LFI and LTI), which is commonly regarded as the ground surface freezing and thawing index (GFI and GTI), can produce certain errors in the simulation of permafrost distribution on the Qinghai–Tibet Plateau. This paper improved the accuracy of the thermal condition of the surface soil in the Qinghai–Tibet Engineering Corridor (QTEC) by calculating the LFI (or LTI) and N-factors. The environmental factors affecting the spatial distribution of the GFI and GTI were detected by the GeoDetector model. Finally, the multiple linear relationships between the GFI (or GTI) and the environmental factors were established. The results from 25 monitoring sites in the QTEC show that the <i>N<sub>f</sub></i> (ratio of GFI to LFI) is 1.088, and the <i>N<sub>t</sub></i> (ratio of GTI to LTI) is 0.554. The explanatory power of the interaction between elevation and latitude for the GFI and GTI is 79.3% and 85.6%, respectively. The multiple linear regression model with six explanatory variables established by GFI (or GTI) has good accuracy. This study can provide relatively accurate upper boundary conditions for the simulation of permafrost distribution in the QTEC region.https://www.mdpi.com/2072-4292/15/1/208ground surface freezing indexground surface thawing indexN-factorsGeoDetectorthe multiple linear regression modelQinghai–Tibet Engineering Corridor |
| spellingShingle | Shen Ma Jingyi Zhao Ji Chen Shouhong Zhang Tianchun Dong Qihang Mei Xin Hou Guojun Liu Ground Surface Freezing and Thawing Index Distribution in the Qinghai-Tibet Engineering Corridor and Factors Analysis Based on GeoDetector Technique Remote Sensing ground surface freezing index ground surface thawing index N-factors GeoDetector the multiple linear regression model Qinghai–Tibet Engineering Corridor |
| title | Ground Surface Freezing and Thawing Index Distribution in the Qinghai-Tibet Engineering Corridor and Factors Analysis Based on GeoDetector Technique |
| title_full | Ground Surface Freezing and Thawing Index Distribution in the Qinghai-Tibet Engineering Corridor and Factors Analysis Based on GeoDetector Technique |
| title_fullStr | Ground Surface Freezing and Thawing Index Distribution in the Qinghai-Tibet Engineering Corridor and Factors Analysis Based on GeoDetector Technique |
| title_full_unstemmed | Ground Surface Freezing and Thawing Index Distribution in the Qinghai-Tibet Engineering Corridor and Factors Analysis Based on GeoDetector Technique |
| title_short | Ground Surface Freezing and Thawing Index Distribution in the Qinghai-Tibet Engineering Corridor and Factors Analysis Based on GeoDetector Technique |
| title_sort | ground surface freezing and thawing index distribution in the qinghai tibet engineering corridor and factors analysis based on geodetector technique |
| topic | ground surface freezing index ground surface thawing index N-factors GeoDetector the multiple linear regression model Qinghai–Tibet Engineering Corridor |
| url | https://www.mdpi.com/2072-4292/15/1/208 |
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