Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Yuekai Ding"'
Publikováno v:
Egyptian Journal of Remote Sensing and Space Sciences, Vol 27, Iss 3, Pp 508-523 (2024)
For landslide prevention and control, it is essential to establish a landslide susceptibility prediction framework that can explain the model’s decision-making process. Wushan County, Chongqing was selected as the study area, and seventeen landslid
Externí odkaz:
https://doaj.org/article/6fe082c8f95b4516aa63c9a572921712
Publikováno v:
Journal of Rock Mechanics and Geotechnical Engineering, Vol 16, Iss 8, Pp 3221-3232 (2024)
Boosting algorithms have been widely utilized in the development of landslide susceptibility mapping (LSM) studies. However, these algorithms possess distinct computational strategies and hyperparameters, making it challenging to propose an ideal LSM
Externí odkaz:
https://doaj.org/article/6029f72b38414ba7887c01b27b78457c
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 14, Iss 1 (2023)
AbstractLandslides have differential characteristics in different regions. This study explores landslide susceptibility mapping (LSM) based on different evaluation units and proposes a strategy for landslides’ differential characteristics in differ
Externí odkaz:
https://doaj.org/article/8a392b313e1942b2a1f97cfd2bd82b19
Autor:
Deliang Sun, Yuekai Ding, Jialan Zhang, Haijia Wen, Yue Wang, Jiahui Xu, Xinzhi Zhou, Rui Liu
Publikováno v:
Geocarto International. :1-29
Landslide is a common natural disaster, which has a serious impact on human life, property safety and socioeconomic development. Landslide susceptibility zoning can predict the spatial distribution of landslide occurrence probability. Based on grid u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccd6bfe441376b2850ecb2519b2a7d41
https://doi.org/10.21203/rs.3.rs-2512498/v1
https://doi.org/10.21203/rs.3.rs-2512498/v1