Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/31921
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dc.contributor.authorLi, Z-
dc.contributor.authorZhang, C-
dc.contributor.authorYu, C-
dc.contributor.authorDing, M-
dc.contributor.authorZhu, W-
dc.contributor.authorHoey, TB-
dc.contributor.authorChen, B-
dc.contributor.authorDu, J-
dc.contributor.authorLi, X-
dc.contributor.authorPeng, J-
dc.date.accessioned2025-09-04T15:37:42Z-
dc.date.available2025-09-04T15:37:42Z-
dc.date.issued2025-08-23-
dc.identifierORCiD: Chen Yu https://orcid.org/0000-0002-9675-8814-
dc.identifierORCiD: Mingtao Ding https://orcid.org/0000-0003-1210-9188-
dc.identifierORCiD: Wu Zhu https://orcid.org/0000-0001-6034-3062-
dc.identifierORCiD: Trevor B. Hoey https://orcid.org/0000-0003-0734-6218-
dc.identifierArticle number: 104811-
dc.identifier.citationLi, Z. et al. (2025) 'Comprehensive geohazard detection along the Qinghai-Tibet Plateau transportation corridor based on multi-sourced earth observations', International Journal of Applied Earth Observation and Geoinformation, 143, 104811, pp. 1 - 19. doi: 10.1016/j.jag.2025.104811.en_US
dc.identifier.issn1569-8432-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/31921-
dc.descriptionData availability: Data will be made available on request.en_US
dc.description.abstractGeohazards 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.en_US
dc.description.sponsorshipThis research was funded by the National Natural Science Foundation of China (41941019 and 42404020). This work was also supported by the Shaanxi Province Science and Technology Innovation team (Ref. 2021TD-51), the Shaanxi Province Geoscience Big Data and Geohazard Prevention Innovation Team (2022), Generic Technical Development Platform of Shaanxi Province for Imaging Geodesy (2024ZG-GXPT-07), Supported by the Fundamental Research Funds for the Central Universities, CHD (Ref. 300102265103 and 300102264302).en_US
dc.format.extent1 - 19-
dc.format.mediumPrint-Electronic-
dc.languageEnglish-
dc.language.isoen_USen_US
dc.publisherElsevieren_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 International-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.subjectThe QTPTCen_US
dc.subjectgeohazardsen_US
dc.subjectoptical remote sensingen_US
dc.subjectSARen_US
dc.subjectGACOS-InSARen_US
dc.subjectSAR pixel offseten_US
dc.titleComprehensive geohazard detection along the Qinghai-Tibet Plateau transportation corridor based on multi-sourced earth observationsen_US
dc.typeArticleen_US
dc.date.dateAccepted2025-08-20-
dc.identifier.doihttps://doi.org/10.1016/j.jag.2025.104811-
dc.relation.isPartOfInternational Journal of Applied Earth Observation and Geoinformation-
pubs.publication-statusPublished-
pubs.volume143-
dc.identifier.eissn1872-826X-
dc.rights.licensehttps://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.en-
dcterms.dateAccepted2025-08-20-
dc.rights.holderThe Authors-
Appears in Collections:Dept of Civil and Environmental Engineering Research Papers

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