Results 11 to 20 of about 26,434 (253)

GIS-based analytical hierarchy process, weight of evidence and logistic regression models for the landslide susceptibility predicting in Echorfa Region (northwestern of Algeria)

Bulletin of the Mineral Research and Exploration, 2023
The main objective of this study is destined to combine the Analytical Hierarchy Process (AHP), Weight of Evidence (WOE), Logistic Regression (LR) methods and geographic information system (GIS) to predict landslide susceptibility of the Echorfa region ...
Nadjı Abdelmansour, Roukh Zine El Abidine   +1 more
doaj   +1 more source

Landslide susceptibility mapping using machine learning for Wenchuan County, Sichuan province, China [PDF]

E3S Web of Conferences, 2020
Landslide susceptibility mapping is a method used to assess the probability and spatial distribution of landslide occurrences. Machine learning methods have been widely used in landslide susceptibility in recent years.
Yang Xin, Liu Rui, Li Luyao, Yang Mei, Yang Yuantao   +4 more
doaj   +1 more source

A review of Statistical approaches used for landslide susceptibility analysis with the help of Remote sensing and GIS technology [PDF]

Acta Scientiarum Polonorum. Formatio Circumiectus, 2023
One of the most significant environmental risks is landslides. It might happen due to human action or natural occurrence and have significant social, economic, and environmental repercussions. The danger of landslides occurring in a certain area based on
Sheetal Bisht, Kishan Singh Rawat
doaj   +1 more source

Integrating Landslide Typology with Weighted Frequency Ratio Model for Landslide Susceptibility Mapping: A Case Study from Lanzhou City of Northwestern China

Remote Sensing, 2021
Although numerous models have been employed to address the issue of landslide susceptibility at regional scale, few have incorporated landslide typology into a model application.
Heping Shu, Zizheng Guo, Shi Qi, Danqing Song, Hamid Reza Pourghasemi, Jiacheng Ma   +5 more
doaj   +1 more source

Effects of different land use and land cover data on the landslide susceptibility zonation of road networks [PDF]

Natural Hazards and Earth System Sciences, 2019
This work evaluates the influence of land use and land cover (LUC) data with different properties on the landslide susceptibility zonation of the road network in the Zêzere watershed (Portugal).
B. M. Meneses, S. Pereira, E. Reis
doaj   +1 more source

Estimation of Landslide and Mudslide Susceptibility with Multi-Modal Remote Sensing Data and Semantics: The Case of Yunnan Mountain Area

Land, 2023
Landslide and mudslide susceptibility predictions play a crucial role in environmental monitoring, ecological protection, settlement planning, etc. Currently, multi-modal remote sensing data have been used for precise landslide and mudslide disaster ...
Fan Yang, Xiaozhi Men, Yangsheng Liu, Huigeng Mao, Yingnan Wang, Li Wang, Xiran Zhou, Chong Niu, Xiao Xie   +8 more
doaj   +1 more source

Assessment of the Impacts of Urbanization on Landslide Susceptibility in Hakha City, a Mountainous Region of Western Myanmar

Land, 2023
In July 2015, more than 100 landslides caused by Cyclone Komen resulted in damage to approximately 1000 buildings in the mountainous region of Hakha City, Myanmar.
Kyaw Swar Myint Thein, Masahiko Nagai, Tai Nakamura, Noppadol Phienwej, Indrajit Pal   +4 more
doaj   +1 more source

Application of a neuro-fuzzy model to landslide-susceptibility mapping for shallow landslides in a tropical hilly area. [PDF]

, 2011
This paper presents landslide-susceptibility mapping using an adaptive neuro-fuzzy inference system (ANFIS) using a geographic information system (GIS) environment.
Hyun, Joo Oh, Pradhan, Biswajeet
core   +1 more source

Enhancing post-seismic landslide susceptibility modeling in China through a time-variant approach: a spatio-temporal analysis

International Journal of Digital Earth, 2023
The pre-phase landslides will have a legacy effect on future landslides, changing the landslide susceptibility. This study attempts to establish a reasonable post-seismic landslide susceptibility model and analyze the spatio-temporal characteristics of ...
Xinyi Guo, Bihong Fu, Jie Du, Shengwen Qi, Pilong Shi, Xiaokun Hou   +5 more
doaj   +1 more source

Landslide susceptibility prediction and identification of its main environmental factors based on machine learning models

地质科技通报, 2022
The modelling processes and uncertainties of various machine learning models for landslide susceptibility prediction (LSP) are different, and effectively identifying the main conditioning factors of landslide susceptibility is of great significance ...
Faming Huang, Songyan Hu, Xueya Yan, Ming Li, Junyu Wang, Wenbin Li, Zizheng Guo, Wenyan Fan   +7 more
doaj   +1 more source