Comprehensive geohazard detection along the Qinghai-Tibet Plateau transportation corridor based on multi-sourced earth observations
Geohazards are sudden and catastrophic. Due to the complicated topography, geology and climate conditions along the Qinghai-Tibet Plateau Transportation Corridor (QTPTC), many geohazards pose unprecedented challenges for engineering construction. Comprehensive and scientific geohazard detection has...
Saved in:
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
|
| Series: | International Journal of Applied Earth Observations and Geoinformation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843225004583 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849227036569108480 |
|---|---|
| author | Zhenhong Li Chenglong Zhang Chen Yu Mingtao Ding Wu Zhu Trevor B. Hoey Bo Chen Jiantao Du Xinlong Li Jianbing Peng |
| author_facet | Zhenhong Li Chenglong Zhang Chen Yu Mingtao Ding Wu Zhu Trevor B. Hoey Bo Chen Jiantao Du Xinlong Li Jianbing Peng |
| author_sort | Zhenhong Li |
| collection | DOAJ |
| description | Geohazards are sudden and catastrophic. Due to the complicated topography, geology and climate conditions along the Qinghai-Tibet Plateau Transportation Corridor (QTPTC), many geohazards pose unprecedented challenges for engineering construction. Comprehensive and scientific geohazard detection has been infrequently performed in the QTPTC, so the study area still lacks a comprehensive geological hazard inventory. With the development of earth observation techniques, detecting geohazards in wide areas is possible. However, comprehensive geohazard detection over such a large spatial extent is considered impossible by individual remote sensing techniques and images. In this study, we used a combination of GACOS-assisted Interferometric Synthetic Aperture Radar (InSAR) phases, SAR amplitudes, and optical images to acquire deformational and geomorphological information of geohazards along the QTPTC. Based on deformational and geomorphological information, we establish a catalogue containing 2109 geohazards which were classified into five categories, i) actively deforming slopes (994); ii) reactivated historically deformed slopes (84); iii) stabilized historically deformed slopes (732); iv) glacier (283) and v) glacial lakes (16). A large percentage of geohazards are distributed at an elevation of 2500–5000 m with slope angles of 30-40°, five geohazards concentration regions are distributed on main active fault zones, and the types of geohazards in the five regions are influenced by precipitation and surface temperature. Finally, three field surveys were also carried out to verify 141 geohazards along the QTPTC. The above findings can improve disaster prevention and mitigation capabilities for construction and operation along the QTPTC. |
| format | Article |
| id | doaj-art-cfae904859aa4934941741c2df05c65d |
| institution | Kabale University |
| issn | 1569-8432 |
| language | English |
| publishDate | 2025-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Applied Earth Observations and Geoinformation |
| spelling | doaj-art-cfae904859aa4934941741c2df05c65d2025-08-24T05:11:40ZengElsevierInternational Journal of Applied Earth Observations and Geoinformation1569-84322025-09-0114310481110.1016/j.jag.2025.104811Comprehensive geohazard detection along the Qinghai-Tibet Plateau transportation corridor based on multi-sourced earth observationsZhenhong Li0Chenglong Zhang1Chen Yu2Mingtao Ding3Wu Zhu4Trevor B. Hoey5Bo Chen6Jiantao Du7Xinlong Li8Jianbing Peng9State Key Laboratory of Loess Science, Chang’an University, Xi’an 710054, China; College of Geological Engineering and Geomatics, Chang’an University, Xi’an 710054, China; Big Data Center for Geosciences and Satellites, Xi’an 710054, China; Key Laboratory of Western China’s Mineral Resources and Geological Engineering, Ministry of Education, Xi’an 710054, ChinaState Key Laboratory of Loess Science, Chang’an University, Xi’an 710054, China; College of Geological Engineering and Geomatics, Chang’an University, Xi’an 710054, China; Big Data Center for Geosciences and Satellites, Xi’an 710054, China; Corresponding author at: College of Geological Engineering and Geomatics, Chang’an University, Xi’an 710054, China.State Key Laboratory of Loess Science, Chang’an University, Xi’an 710054, China; College of Geological Engineering and Geomatics, Chang’an University, Xi’an 710054, China; Key Laboratory of Western China’s Mineral Resources and Geological Engineering, Ministry of Education, Xi’an 710054, ChinaState Key Laboratory of Loess Science, Chang’an University, Xi’an 710054, China; College of Geological Engineering and Geomatics, Chang’an University, Xi’an 710054, China; Key Laboratory of Western China’s Mineral Resources and Geological Engineering, Ministry of Education, Xi’an 710054, ChinaState Key Laboratory of Loess Science, Chang’an University, Xi’an 710054, China; College of Geological Engineering and Geomatics, Chang’an University, Xi’an 710054, China; Key Laboratory of Ecological Geology and Disaster Prevention, Ministry of Natural Resources, Xi’an 710054, ChinaDepartment of Civil and Environmental Engineering, Brunel University London, Uxbridge UB8 3PH, UKState Key Laboratory of Loess Science, Chang’an University, Xi’an 710054, China; College of Geological Engineering and Geomatics, Chang’an University, Xi’an 710054, China; Key Laboratory of Ecological Geology and Disaster Prevention, Ministry of Natural Resources, Xi’an 710054, ChinaState Key Laboratory of Loess Science, Chang’an University, Xi’an 710054, China; College of Geological Engineering and Geomatics, Chang’an University, Xi’an 710054, China; Big Data Center for Geosciences and Satellites, Xi’an 710054, ChinaState Key Laboratory of Loess Science, Chang’an University, Xi’an 710054, China; College of Geological Engineering and Geomatics, Chang’an University, Xi’an 710054, China; Big Data Center for Geosciences and Satellites, Xi’an 710054, ChinaState Key Laboratory of Loess Science, Chang’an University, Xi’an 710054, China; College of Geological Engineering and Geomatics, Chang’an University, Xi’an 710054, China; Key Laboratory of Western China’s Mineral Resources and Geological Engineering, Ministry of Education, Xi’an 710054, ChinaGeohazards are sudden and catastrophic. Due to the complicated topography, geology and climate conditions along the Qinghai-Tibet Plateau Transportation Corridor (QTPTC), many geohazards pose unprecedented challenges for engineering construction. Comprehensive and scientific geohazard detection has been infrequently performed in the QTPTC, so the study area still lacks a comprehensive geological hazard inventory. With the development of earth observation techniques, detecting geohazards in wide areas is possible. However, comprehensive geohazard detection over such a large spatial extent is considered impossible by individual remote sensing techniques and images. In this study, we used a combination of GACOS-assisted Interferometric Synthetic Aperture Radar (InSAR) phases, SAR amplitudes, and optical images to acquire deformational and geomorphological information of geohazards along the QTPTC. Based on deformational and geomorphological information, we establish a catalogue containing 2109 geohazards which were classified into five categories, i) actively deforming slopes (994); ii) reactivated historically deformed slopes (84); iii) stabilized historically deformed slopes (732); iv) glacier (283) and v) glacial lakes (16). A large percentage of geohazards are distributed at an elevation of 2500–5000 m with slope angles of 30-40°, five geohazards concentration regions are distributed on main active fault zones, and the types of geohazards in the five regions are influenced by precipitation and surface temperature. Finally, three field surveys were also carried out to verify 141 geohazards along the QTPTC. The above findings can improve disaster prevention and mitigation capabilities for construction and operation along the QTPTC.http://www.sciencedirect.com/science/article/pii/S1569843225004583The QTPTCGeohazardsOptical Remote SensingSARGACOS-InSARSAR Pixel Offset |
| spellingShingle | Zhenhong Li Chenglong Zhang Chen Yu Mingtao Ding Wu Zhu Trevor B. Hoey Bo Chen Jiantao Du Xinlong Li Jianbing Peng Comprehensive geohazard detection along the Qinghai-Tibet Plateau transportation corridor based on multi-sourced earth observations International Journal of Applied Earth Observations and Geoinformation The QTPTC Geohazards Optical Remote Sensing SAR GACOS-InSAR SAR Pixel Offset |
| title | Comprehensive geohazard detection along the Qinghai-Tibet Plateau transportation corridor based on multi-sourced earth observations |
| title_full | Comprehensive geohazard detection along the Qinghai-Tibet Plateau transportation corridor based on multi-sourced earth observations |
| title_fullStr | Comprehensive geohazard detection along the Qinghai-Tibet Plateau transportation corridor based on multi-sourced earth observations |
| title_full_unstemmed | Comprehensive geohazard detection along the Qinghai-Tibet Plateau transportation corridor based on multi-sourced earth observations |
| title_short | Comprehensive geohazard detection along the Qinghai-Tibet Plateau transportation corridor based on multi-sourced earth observations |
| title_sort | comprehensive geohazard detection along the qinghai tibet plateau transportation corridor based on multi sourced earth observations |
| topic | The QTPTC Geohazards Optical Remote Sensing SAR GACOS-InSAR SAR Pixel Offset |
| url | http://www.sciencedirect.com/science/article/pii/S1569843225004583 |
| work_keys_str_mv | AT zhenhongli comprehensivegeohazarddetectionalongtheqinghaitibetplateautransportationcorridorbasedonmultisourcedearthobservations AT chenglongzhang comprehensivegeohazarddetectionalongtheqinghaitibetplateautransportationcorridorbasedonmultisourcedearthobservations AT chenyu comprehensivegeohazarddetectionalongtheqinghaitibetplateautransportationcorridorbasedonmultisourcedearthobservations AT mingtaoding comprehensivegeohazarddetectionalongtheqinghaitibetplateautransportationcorridorbasedonmultisourcedearthobservations AT wuzhu comprehensivegeohazarddetectionalongtheqinghaitibetplateautransportationcorridorbasedonmultisourcedearthobservations AT trevorbhoey comprehensivegeohazarddetectionalongtheqinghaitibetplateautransportationcorridorbasedonmultisourcedearthobservations AT bochen comprehensivegeohazarddetectionalongtheqinghaitibetplateautransportationcorridorbasedonmultisourcedearthobservations AT jiantaodu comprehensivegeohazarddetectionalongtheqinghaitibetplateautransportationcorridorbasedonmultisourcedearthobservations AT xinlongli comprehensivegeohazarddetectionalongtheqinghaitibetplateautransportationcorridorbasedonmultisourcedearthobservations AT jianbingpeng comprehensivegeohazarddetectionalongtheqinghaitibetplateautransportationcorridorbasedonmultisourcedearthobservations |