Research on Uncertainty of Landslide Susceptibility Prediction—Bibliometrics and Knowledge Graph Analysis
Landslide prediction is one of the complicated topics recognized by the global scientific community. The research on landslide susceptibility prediction is vitally important to mitigate and prevent landslide disasters. The instability and complexity of the landslide system can cause uncertainty in t...
Main Authors: | Zhengli Yang, Chao Liu, Ruihua Nie, Wanchang Zhang, Leili Zhang, Zhijie Zhang, Weile Li, Gang Liu, Xiaoai Dai, Donghui Zhang, Min Zhang, Shuangxi Miao, Xiao Fu, Zhiming Ren, Heng Lu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-08-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/14/16/3879 |
Similar Items
-
Bibliometric analysis of landslide research based on the WOS database
by: Yuandong Huang, et al.
Published: (2022-06-01) -
Global research on submarine landslides, 2001–2020
by: Wenwen Chen, et al.
Published: (2023-04-01) -
Risk Factor Detection and Landslide Susceptibility Mapping Using Geo-Detector and Random Forest Models: The 2018 Hokkaido Eastern Iburi Earthquake
by: Yimo Liu, et al.
Published: (2021-03-01) -
Visualization analysis of rainfall-induced landslides hazards based on remote sensing and geographic information system-an overview
by: Zhengli Yang, et al.
Published: (2023-12-01) -
The landscape of flipped classroom research: a bibliometrics analysis
by: Fan Zhang, et al.
Published: (2024-03-01)