Results 11 to 20 of about 4,869,914 (227)

Ensemble learning landslide susceptibility assessment with optimized non-landslide samples selection

Geomatics, Natural Hazards & Risk
Non-landslide samples influence the outcomes of landslide susceptibility assessment. Existing studies did not fully consider the equilibrium between landslide and non-landslide samples in similar environments, resulting in poor reliability of landslide ...
Jiangang Lu, Yi He, Lifeng Zhang, Qing Zhang, Binghai Gao, Hesheng Chen, Yumin Fang   +6 more
doaj   +2 more sources

Landslide Susceptibility Assessment Using the Geographical-Optimal-Similarity Model

Applied Sciences
As a critical predisaster warning tool, landslide susceptibility assessment is crucial in disaster prevention and mitigation efforts. However, earlier methods for assessing landslide susceptibility have often ignored the impact of similarities in ...
Yonghong Xiao, Guolong Li, Lu Wei, Jing Ding, Zhen Zhang   +4 more
doaj   +2 more sources

Heterogeneous Ensemble Landslide Susceptibility Assessment Method Considering Spatial Heterogeneity

Remote Sensing
Landslide susceptibility mapping (LSM) is an effective means of assessing landslide risk and has been widely applied. However, current landslide susceptibility assessment studies have not fully considered the spatial heterogeneity characteristics between
Yiran Yao, Yimin Lu
doaj   +2 more sources

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   +7 more sources

Integrated Landslide Risk Assessment via a Landslide Susceptibility Model Based on Intelligent Optimization Algorithms

Remote Sensing
Accurate and objective regional landslide risk assessment is crucial for the precise prevention of regional disasters. This study proposes an integrated landslide risk assessment via a landslide susceptibility model based on intelligent optimization ...
Xin Dai, Jianping Chen, Tianren Zhang, Chenli Xue   +3 more
doaj   +2 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

Effect of landslide spatial representation and raster resolution on the landslide susceptibility assessment

Environmental Earth Sciences, 2023
Abstract The quality of landslide susceptibility assessment is effected by landslide inventory and raster resolution. The point landslide inventory and polygon landslide inventory are usually two spatial representations. In order to explore the effect of spatial representation and raster resolution on the assessment result of landslide ...
Shuo Yang, Deying Li, Yiqing Sun, Xiangjie She   +3 more
openaire   +1 more source

Evaluation of neural network models for landslide susceptibility assessment

International Journal of Digital Earth, 2022
Identifying and assessing the disaster risk of landslide-prone regions is very critical for disaster prevention and mitigation. Owning to their special advantages, neural network algorithms have been widely used for landslide susceptibility mapping (LSM) in recent decades.
Yaning Yi, Wanchang Zhang 0001, Xiwei Xu, Zhijie Zhang 0002, Xuan Wu   +4 more
openaire   +2 more sources

Evaluating the Effects of Digital Elevation Models in Landslide Susceptibility Mapping in Rangamati District, Bangladesh

Remote Sensing, 2020
Digital elevation models (DEMs) are the most obvious data sources in landslide susceptibility assessment. Many landslide casual factors are often generated from DEMs.
Yasin Wahid Rabby, Asif Ishtiaque, Md. Shahinoor Rahman   +2 more
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