Results 121 to 130 of about 4,869,914 (227)

Application of different machine learning models in landslide susceptibility assessment in Badong County, Hubei Province

Zhongguo dizhi zaihai yu fangzhi xuebao
China is one of the countries most frequently affected by landslide disasters in the world, making landslide susceptibility assessment crucial for effective disaster prevention and mitigation.
Guozhen CHEN, Junqi LIU, Jinghui CUI, Shupeng YU, Xiaohu ZHANG, Ninghui ZHU, Yuxin SONG   +6 more
doaj   +1 more source

Improving Landslide Susceptibility Assessment Through Non-Landslide Sampling Strategies

Landslides are a prevalent geological hazard in China, posing significant threats to life and property. Landslide susceptibility assessment is essential for disaster prevention, and the quality of non-landslide samples critically affects model accuracy ...
Meiqiu Chen, Liping Tu, Mei’e Liu, Peng Leng, Shengwei Liu, Wang Luo, Yaqin Mao   +6 more
core   +1 more source

An approach for predicting landslide susceptibility and evaluating predisposing factors

International Journal of Applied Earth Observations and Geoinformation
Effectively leveraging landslide spatial location information is crucial for improving the accuracy of deep learning in predicting landslide susceptibility and exploring the impacts of predisposing factors.
Wanxin Guo, Jian Ye, Chengbing Liu, Yijie Lv, Qiuyu Zeng, Xin Huang   +5 more
doaj   +1 more source

Landslide Risk Assessment using Digital Elevation Models

, 2011
Regional landslide risk, as it is most commonly defined, is a product of the following: hazard, vulnerability and exposed population. The first objective of this research project is to estimate the regional landslide hazard level by calculating its ...
McLean, Amanda
core  

Landslide susceptibility assessment and attribution analysis in Yunnan Province based on weighted information value-logistic regression model

Geomatics, Natural Hazards & Risk
Landslide susceptibility assessment and attribution analysis of triggering factors are essential for regional risk management. However, existing methods face challenges such as subjectivity in determining factor weights and insufficient capacity to ...
Yilin Zhu, Shuangyun Peng, Zhiqiang Lin, Bangmei Huang, Ting Li, Rui Zhang, Rong Jin   +6 more
doaj   +1 more source

Rain-Induced Landslide Hazard Assessment Using Inception Model and Interpretability Method—A Case Study of Zayu County, Tibet

Applied Sciences
Geological landslide disasters significantly threaten the safety of people’s lives and property. Landslides are a significant threat in Zayu County, Tibet, resulting in numerous geological disasters, including the 1950 earthquake that caused significant ...
Leyi Su, Yuannan Gui, Lu Xu, Dongping Ming   +3 more
doaj   +1 more source

Landslide Susceptibility Assessment based on GIS Technology

Scientific Journal of Technology
Landslides, as a typical geological hazard, pose a serious threat to the safety of people's lives and property in China. Conducting geological hazard susceptibility assessments plays a crucial role in formulating scientific disaster prevention and mitigation plans.
openaire   +1 more source

Integration of Spatial Probability and Size in Slope-Unit-Based Landslide Susceptibility Assessment: A Case Study. [PDF]

Int J Environ Res Public Health, 2020
Li L, Lan H.
europepmc   +1 more source

Effects of Different Classification Methods on Regional Landslide Susceptibility Zonation

工程科学与技术
Susceptibility zoning is the basic step of regional geological hazard risk assessment, and a reasonable classification method for the susceptibility levels is of significance for obtaining effective regional landslide susceptibility maps.
Faming HUANG, Yinlang ZHANG, Zizheng GUO, Xuanmei FAN, Chuangbing ZHOU   +4 more
doaj  

Statistical models for landslide susceptibility assessment:

, 2013
La población mundial, que cuenta dos mil millones de habitantes alrededor del año 1950, ha crecido a un ritmo casi exponencial en las décadas siguientes hasta 4 mil millones y 5,3 en 1990 (Naciones Unidas - Departamento de Asuntos Económicos y Sociales, 2010). Sin duda un gran aumento tanto en términos absolutos cuanto relativos. Según las estimaciones
openaire   +1 more source