Results 21 to 30 of about 18,543 (287)

Landslide susceptibility mapping based on the coupling of two correlation methods and the BP neural network model: A case study of the Baihetan Reservoir area, China

Frontiers in Environmental Science, 2022
The correlation calculation model between landslide and mapping factors has a direct influence on the accuracy of landslide susceptibility mapping results.
Zhenghai Xue, Wenkai Feng, Botao Li, Yongjian Zhou, Xiaoyu Yi, Mingtang Wu   +5 more
doaj   +1 more source

Influences of non-landslide sample selection strategies on landslide susceptibility mapping by machine learning

Geomatics, Natural Hazards & Risk, 2023
Landslide susceptibility mapping is crucial in mitigating the risk of regional landslide hazards. The main objectives of this study are to design and analyze the impact of three non-landslide data generation methods on landslide susceptibility mapping ...
Hongqiang Dou, Junbin He, Siyi Huang, Wenbin Jian, Chaoxu Guo   +4 more
doaj   +1 more source

The Influence of Different Knowledge-Driven Methods on Landslide Susceptibility Mapping: A Case Study in the Changbai Mountain Area, Northeast China. [PDF]

Entropy (Basel), 2019
Ma Z, Qin S, Cao C, Lv J, Li G, Qiao S, Hu X.   +6 more
europepmc   +3 more sources

Refined Landslide Susceptibility Mapping by Integrating the SHAP-CatBoost Model and InSAR Observations: A Case Study of Lishui, Southern China

Applied Sciences, 2023
Landslide susceptibility mapping based on static influence factors often exhibits issues of low accuracy and classification errors. To enhance the accuracy of susceptibility mapping, this study proposes a refined approach that integrates categorical ...
Zhaowei Yao, Meihong Chen, Jiewei Zhan, Jianqi Zhuang, Yuemin Sun, Qingbo Yu, Zhaoyue Yu   +6 more
doaj   +1 more source

UTILIZATION OF FINE RESOLUTION SATELLITE DATA FOR LANDSLIDE SUSCEPTIBILITY MODELLING: A CASE STUDY OF KASHMIR EARTHQUAKE INDUCED LANDSLIDES [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
The 2005 Kashmir earthquake has triggered thousands of landslides which devastated most of the livelihood and other infrastructure in the area. Landslide inventory and subsequently landslide susceptibility mapping is one of the main prerequisite for ...
M. Z. Ali, H.-J. Chu, S. Ullah, M. Shafique, A. Ali   +4 more
doaj   +1 more source

Risk Factor Detection and Landslide Susceptibility Mapping Using Geo-Detector and Random Forest Models: The 2018 Hokkaido Eastern Iburi Earthquake

Remote Sensing, 2021
Landslide susceptibility mapping is an effective approach for landslide risk prevention and assessments. The occurrence of slope instability is highly correlated with intrinsic variables that contribute to the occurrence of landslides, such as geology ...
Yimo Liu, Wanchang Zhang, Zhijie Zhang, Qiang Xu, Weile Li   +4 more
doaj   +1 more source

Effective surveyed area and its role in statistical landslide susceptibility assessments [PDF]

Natural Hazards and Earth System Sciences, 2018
Geomorphological field mapping is a conventional method used to prepare landslide inventories. The approach is typically hampered by the accessibility and visibility, during field campaigns for landslide mapping, of the different portions of the study
T. Bornaetxea, M. Rossi, I. Marchesini, M. Alvioli   +3 more
doaj   +1 more source

Landslide Susceptibility Assessment in the Japanese Archipelago Based on a Landslide Distribution Map

ISPRS International Journal of Geo-Information, 2023
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,
Masanori Kohno, Yuki Higuchi
doaj   +1 more source

Slope Unit-Based Landslide Susceptibility Mapping Using Certainty Factor, Support Vector Machine, Random Forest, CF-SVM and CF-RF Models

Frontiers in Earth Science, 2021
Landslide susceptibility mapping is very important for landslide risk evaluation and land use planning. Toward this end, this paper presents a case study in Ningqiang County, Shanxi Province, China. Slope units were selected as the basic mapping units. A
Zhou Zhao, Zeng yuan Liu, Chong Xu
doaj   +1 more source

Landslide Susceptibility Mapping Based on Deep Learning Algorithms Using Information Value Analysis Optimization

Land, 2023
Selecting samples with non-landslide attributes significantly impacts the deep-learning modeling of landslide susceptibility mapping. This study presents a method of information value analysis in order to optimize the selection of negative samples used ...
Junjie Ji, Yongzhang Zhou, Qiuming Cheng, Shoujun Jiang, Shiting Liu   +4 more
doaj   +1 more source