Results 41 to 50 of about 32,207 (198)

High resolution landslide susceptibility mapping using ensemble machine learning and geospatial big data

CATENA
43 Landslide susceptibility represents the potential of slope failure for given geo-environmental 44 conditions. The existing landslide susceptibility maps suffer from several limitations, such as 45 being based on limited data, heuristic methodologies ...
N. Sharma, M. Saharia, G. V. Ramana
semanticscholar   +1 more source

A Multi-Criteria Decision Analysis (MCDA) Approach for Landslide Susceptibility Mapping of a Part of Darjeeling District in North-East Himalaya, India

Applied Sciences, 2023
Landslides are the nation’s hidden disaster, significantly increasing economic loss and social disruption. Unfortunately, limited information is available about the depth and extent of landslides.
A. Saha, V. G. K. Villuri, A. Bhardwaj, Satish Kumar   +3 more
semanticscholar   +1 more source

Landslide Susceptibility Mapping Based on Ensemble Learning in the Jiuzhaigou Region, Sichuan, China

Remote Sensing
Accurate landslide susceptibility mapping is vital for disaster forecasting and risk management. To address the problem of limited accuracy of individual classifiers and lack of model interpretability in machine learning-based models, a coupled multi ...
Bangsheng An, Zhijie Zhang, Shenqing Xiong, Wanchang Zhang, Yaning Yi, Zhixin Liu, Chuanqi Liu   +6 more
doaj   +1 more source

Utilizing Hybrid Machine Learning and Soft Computing Techniques for Landslide Susceptibility Mapping in a Drainage Basin

Water
The hydrological system of thebasin of Lake Urmia is complex, deriving its supply from a network comprising 13 perennial rivers, along withnumerous small springs and direct precipitation onto the lake’s surface.
Yimin Mao, Yican Li, Fei Teng, A. Sabonchi, M. Azarafza, Maosheng Zhang   +5 more
semanticscholar   +1 more source

An Ensemble Approach of Feature Selection and Machine Learning Models for Regional Landslide Susceptibility Mapping in the Arid Mountainous Terrain of Southern Peru

Remote Sensing, 2023
This study evaluates the utility of the ensemble framework of feature selection and machine learning (ML) models for regional landslide susceptibility mapping (LSM) in the arid climatic condition of southern Peru.
C. Kumar, G. Walton, P. Santi, C. Luza
semanticscholar   +1 more source

Multi‐Hazard Shaking‐Tsunami Fatality Risk Estimation for Coastal Communities

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT This study develops a multi‐hazard fatality risk model for a coastal community (Tofino) on Vancouver Island, Canada, subjected to earthquake‐tsunami threats from the Cascadia subduction megathrust events. The model incorporates variable population distributions and uncertain fatality rate models, in addition to other key model components, such
Katsuichiro Goda
wiley   +1 more source

Creation of a Landslide Susceptibility Map Using Short‐Term Data From the July 2018 Heavy Rainfall in Southern Hiroshima Prefecture

Geological Journal, EarlyView.
This work advances landslide susceptibility mapping by incorporating short‐term trigger data with landscape susceptibility mapping. We also examine the importance of downsampling, watershed delineation and geospatial correlations in evaluating outcomes.
Kanta Kotsugi, Ting Liu, Toshiro Hata, Rebecca Muenich   +3 more
wiley   +1 more source

Integrating Machine Learning Ensembles for Landslide Susceptibility Mapping in Northern Pakistan

Remote Sensing
Natural disasters, notably landslides, pose significant threats to communities and infrastructure. Landslide susceptibility mapping (LSM) has been globally deemed as an effective tool to mitigate such threats.
Nafees Ali, Jian Chen, Xiaodong Fu, Rashid Ali, M. A. Hussain, Hamza Daud, Javid Hussain, Ali A. Altalbe   +7 more
semanticscholar   +1 more source

Failure in Motion: A Framework for Capability Erosion and Institutional Dysfunction

Strategic Change, EarlyView.
ABSTRACT Drawing on the literature on capability erosion and institutional dysfunction (ID), this study develops a conceptual framework that sheds new light on how the interaction between capability erosion and ID creates conditions for business failure across borders. By articulating two dimensions of heterogeneous capability and resource erosion (i.e.
Joseph Amankwah‐Amoah, Ahmed Adel Tantawy   +1 more
wiley   +1 more source

Performance comparison of landslide susceptibility mapping under multiple machine-learning based models considering InSAR deformation: a case study of the upper Jinsha River

Geomatics, Natural Hazards & Risk, 2023
Landslide susceptibility mapping (LSM) comprehensively evaluates the spatial probability of landslide occurrence by using different environmental factors.
Jiaming Yao, X. Yao, Zhengtang Zhao, Xing-Shan Liu   +3 more
semanticscholar   +1 more source