|
|
|
|
|
Florimond De Smedt, Prabin Kayastha and Megh Raj Dhital
Naïve Bayes classification is widely used for landslide susceptibility analysis, especially in the form of weights-of-evidence. However, when significant conditional dependence is present, the probabilities derived from weights-of-evidence are biased, re...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ayse Yavuz Ozalp, Halil Akinci and Mustafa Zeybek
The Eastern Black Sea Region is regarded as the most prone to landslides in Turkey due to its geological, geographical, and climatic characteristics. Landslides in this region inflict both fatalities and significant economic damage. The main objective of...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chiara Martinello, Chiara Cappadonia and Edoardo Rotigliano
Optimally sizing grid cells is a relevant research issue in landslide susceptibility evaluation. In fact, the size of the adopted mapping units influences several aspects spanning from statistical (the number of positive/negative cases and prevalence and...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chiara Martinello, Claudio Mercurio, Chiara Cappadonia, Viviana Bellomo, Andrea Conte, Giampiero Mineo, Giulia Di Frisco, Grazia Azzara, Margherita Bufalini, Marco Materazzi and Edoardo Rotigliano
In statistical landslide susceptibility evaluation, the quality of the model and its prediction image heavily depends on the quality of the landslide inventories used for calibration. However, regional-scale inventories made available by public territori...
ver más
|
|
|
|
|
|
|
|
|
|
|
Masanori Kohno and Yuki Higuchi
Though danger prediction and countermeasures for landslides are important, it is fundamentally difficult to take preventive measures in all areas susceptible to dangerous landslides. Therefore, it is necessary to perform landslide susceptibility mapping,...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ru Li, Siyi Huang and Hongqiang Dou
Large-scale photovoltaic power plants located in highland mountainous areas are vulnerable to landslides due to extreme rainfall, posing a significant threat to the normal operation of photovoltaic power plants. However, limited research has been conduct...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhu Liang, Weiping Peng, Wei Liu, Houzan Huang, Jiaming Huang, Kangming Lou, Guochao Liu and Kaihua Jiang
Shallow landslides pose serious threats to human existence and economic development, especially in the Himalayan areas. Landslide susceptibility mapping (LSM) is a proven way for minimizing the hazard and risk of landslides. Modeling as an essential step...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zelang Miao, Renfeng Peng, Wei Wang, Qirong Li, Shuai Chen, Anshu Zhang, Minghui Pu, Ke Li, Qinqin Liu and Changhao Hu
Earthquakes induce landslides worldwide every year that may cause massive fatalities and financial losses. Precise and timely landslide susceptibility mapping (LSM) is significant for landslide hazard assessment and mitigation in earthquake-affected area...
ver más
|
|
|
|
|
|
|
|
|
|
|
Angelina Ageenko, Lærke Christina Hansen, Kevin Lundholm Lyng, Lars Bodum and Jamal Jokar Arsanjani
Mapping of landslides, conducted in 2021 by the Geological Survey of Denmark and Greenland (GEUS), revealed 3202 landslides in Denmark, indicating that they might pose a bigger problem than previously acknowledged. Moreover, the changing climate is assum...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xing Du, Yongfu Sun, Yupeng Song, Zongxiang Xiu and Zhiming Su
A submarine landslide is a well-known geohazard that can cause significant damage to offshore engineering facilities. Most standard predicting and mapping methods require expert knowledge, supervision, and fieldwork. In this research, the main objective ...
ver más
|
|
|
|
|
|