Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Aonan DONG"'
Publikováno v:
地质科技通报, Vol 43, Iss 3, Pp 251-265 (2024)
Objective Strong earthquake-induced landslides are characterized by large number, wide distribution and large scale, and seriously threaten people's lives and property. Landslide susceptibility mapping (LSM) can quickly predict the spatial distributi
Externí odkaz:
https://doaj.org/article/15e128de8091460ebb1abe8d38d18de8
Autor:
Ruiqi Zhang, Lele Zhang, Zhice Fang, Takashi Oguchi, Abdelaziz Merghadi, Zijin Fu, Aonan Dong, Jie Dou
Publikováno v:
Remote Sensing, Vol 16, Iss 13, p 2394 (2024)
The accurate prediction of landslide susceptibility relies on effectively handling landslide absence samples in machine learning (ML) models. However, existing research tends to generate these samples in feature space, posing challenges in field vali
Externí odkaz:
https://doaj.org/article/52ea8651e0de4cf3a40909ed37edd1de
Publikováno v:
Geocarto International, Vol 38, Iss 1 (2023)
Landslide susceptibility mapping (LSM) research is vital for averting and mitigating regional landslide disasters. Nevertheless, there has been a lack of systematic analysis regarding LSM's developmental drivers. Utilizing SciMAT, a scientometric too
Externí odkaz:
https://doaj.org/article/90fca7e623914a6081df3b9c8d349c38