Yang, Hongjuan, Hu, Kaiheng, Zhang, Shaojie, Liu, Shuang (2023) Feasibility of satellite-based rainfall and soil moisture data in determining the triggering conditions of debris flow: The Jiangjia Gully (China) case study. Engineering Geology, 315. 107041 doi:10.1016/j.enggeo.2023.107041
Reference Type | Journal (article/letter/editorial) | ||
---|---|---|---|
Title | Feasibility of satellite-based rainfall and soil moisture data in determining the triggering conditions of debris flow: The Jiangjia Gully (China) case study | ||
Journal | Engineering Geology | ||
Authors | Yang, Hongjuan | Author | |
Hu, Kaiheng | Author | ||
Zhang, Shaojie | Author | ||
Liu, Shuang | Author | ||
Year | 2023 (March) | Volume | 315 |
Publisher | Elsevier BV | ||
DOI | doi:10.1016/j.enggeo.2023.107041Search in ResearchGate | ||
Generate Citation Formats | |||
Mindat Ref. ID | 15703868 | Long-form Identifier | mindat:1:5:15703868:4 |
GUID | 0 | ||
Full Reference | Yang, Hongjuan, Hu, Kaiheng, Zhang, Shaojie, Liu, Shuang (2023) Feasibility of satellite-based rainfall and soil moisture data in determining the triggering conditions of debris flow: The Jiangjia Gully (China) case study. Engineering Geology, 315. 107041 doi:10.1016/j.enggeo.2023.107041 | ||
Plain Text | Yang, Hongjuan, Hu, Kaiheng, Zhang, Shaojie, Liu, Shuang (2023) Feasibility of satellite-based rainfall and soil moisture data in determining the triggering conditions of debris flow: The Jiangjia Gully (China) case study. Engineering Geology, 315. 107041 doi:10.1016/j.enggeo.2023.107041 | ||
In | (2023) Engineering Geology Vol. 315. Elsevier BV |
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