Results 11 to 20 of about 1,693,251 (168)

Mass movement susceptibility mapping using satellite optical imagery compared with InSAR monitoring: Zigui County, Three Gorges region, China [PDF]

, 2010
Mass movements on steep slopes are a major hazard to communities and infrastructure in the Three Gorges region, China. Developing susceptibility maps of mass movements is therefore very important in both current and future land use planning.
Zeng, Q., Zhang, Jingfa, Kincal, Cem, Singleton, Andrew, Li, Z., Li, Zhenhong, Drummond, J., Du, P., Drummond, Jane, Kincal, C., Zeng, Qiming, Singleton, A., Qu, W., Hoey, T., Qu, Wei, Liu, Peng, Hoey, Trevor, Muller, Jan-Peter, Du, Peijun, Zhang, J., Muller, J.   +20 more
core   +9 more sources

Deep learning-based landslide susceptibility mapping. [PDF]

Sci Rep, 2021
Landslides are considered as one of the most devastating natural hazards in Iran, causing extensive damage and loss of life. Landslide susceptibility maps for landslide prone areas can be used to plan for and mitigate the consequences of catastrophic ...
Azarafza M, Azarafza M, Akgün H, Atkinson PM, Derakhshani R.   +4 more
europepmc   +5 more sources

Landslide Susceptibility Mapping and Their Rainfall Thresholds Model in Tinalah Watershed, Kulon Progo District, Yogyakarta Special Region, Indonesia [PDF]

, 2021
Landslide often occurred in Tinalah watershed, Kulon Progo District, every year. The frequency of landslide events is increasing after high rainfall intensity.
Fathani, Teuku Faisal, Arrisaldi, Thema, Wilopo, Wahyu   +2 more
core   +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

Engineering Application of Landslide Susceptibility Mapping in Linear Engineering Optimization

Frontiers in Earth Science, 2022
Regional landslide susceptibility mapping has an important role in guiding linear engineering optimization. Based on the geographic information system (GIS) platform and R language MaxEnt software, in this research, the China National Highway 109 New ...
Jinchang Shi
doaj   +1 more source