Results 11 to 20 of about 32,207 (198)

Landslide Susceptibility Mapping Using Machine Learning: A Literature Survey

open access: yesRemote Sensing, 2022
Landslide is a devastating natural disaster, causing loss of life and property. It is likely to occur more frequently due to increasing urbanization, deforestation, and climate change.
Moziihrii Ado   +6 more
doaj   +2 more sources

Landslide Susceptibility Mapping by Fusing Convolutional Neural Networks and Vision Transformer [PDF]

open access: yesSensors, 2022
Landslide susceptibility mapping (LSM) is an important decision basis for regional landslide hazard risk management, territorial spatial planning and landslide decision making. The current convolutional neural network (CNN)-based landslide susceptibility
Shuai Bao   +6 more
doaj   +2 more sources

Landslide susceptibility mapping using hybrid random forest with GeoDetector and RFE for factor optimization

open access: yesGeoscience Frontiers, 2021
The present study aims to develop two hybrid models to optimize the factors and enhance the predictive ability of the landslide susceptibility models. For this, a landslide inventory map was created with 406 historical landslides and 2030 non-landslide ...
Xinzhi Zhou   +2 more
exaly   +2 more sources

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

open access: yesFrontiers 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   +5 more
doaj   +1 more source

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

open access: yesApplied 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   +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]

open access: yesThe 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   +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

open access: yesRemote 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   +4 more
doaj   +1 more source

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

open access: yesISPRS 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

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

open access: yesNatural 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   +3 more
doaj   +1 more source

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

open access: yesFrontiers 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

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