Landslide susceptibility map** using AHP and fuzzy methods in the Gilan province, Iran
Landslides are natural destructive phenomena that can cause great damage to property and
life loss. One of the fundamental proceedings to reduce the possible damage is identifying …
life loss. One of the fundamental proceedings to reduce the possible damage is identifying …
Performance evaluation for four GIS-based models purposed to predict and map landslide susceptibility: A case study at a World Heritage site in Southwest China
Landslide susceptibility map** is a prerequisite for preventing and mitigating hazardous
risks, especially in landslide-prone mountainous areas. This study applies two well-known …
risks, especially in landslide-prone mountainous areas. This study applies two well-known …
Landslide susceptibility prediction using machine learning methods: a case study of landslides in the Yinghu Lake Basin in Shaanxi
S Ma, J Chen, S Wu, Y Li - Sustainability, 2023 - mdpi.com
Landslide susceptibility prediction (LSP) is the basis for risk management and plays an
important role in social sustainability. However, the modeling process of LSP is constrained …
important role in social sustainability. However, the modeling process of LSP is constrained …
Comparison of logistic regression, information value, and comprehensive evaluating model for landslide susceptibility map**
RX Tang, EC Yan, T Wen, XM Yin, W Tang - Sustainability, 2021 - mdpi.com
This study validated the robust performances of the recently proposed comprehensive
landslide susceptibility index model (CLSI) for landslide susceptibility map** (LSM) by …
landslide susceptibility index model (CLSI) for landslide susceptibility map** (LSM) by …
A new algorithm for clustering based on kernel density estimation
LC Matioli, SR Santos, M Kleina… - Journal of Applied …, 2018 - Taylor & Francis
In this paper, we present an algorithm for clustering based on univariate kernel density
estimation, named ClusterKDE. It consists of an iterative procedure that in each step a new …
estimation, named ClusterKDE. It consists of an iterative procedure that in each step a new …
Landslide susceptibility map** by integrating analytical hierarchy process, frequency ratio, and fuzzy gamma operator models, case study: North of Lorestan …
N Eitvandi, R Sarikhani, S Derikvand - Environmental monitoring and …, 2022 - Springer
Identifying landslide-prone areas is an essential step in assessing landslide risk and
reducing landslide damage. In this paper, GIS-based spatial analysis has been used to …
reducing landslide damage. In this paper, GIS-based spatial analysis has been used to …
Insights gained from the review of landslide susceptibility assessment studies in Italy
We conducted a systematic literature review of 105 landslide susceptibility studies in Italy
from 1980 to 2023, retrieved from the Scopus database. We discovered that Italian …
from 1980 to 2023, retrieved from the Scopus database. We discovered that Italian …
Application of AHP based geospatial modeling for assessment of landslide hazard zonation along Mughal road in the Pir Panjal Himalayas
Mughal road located in the high mountainous region of Kashmir Himalaya, India is prone to
landslide hazards because of anthropogenic pressure and ongoing climate change …
landslide hazards because of anthropogenic pressure and ongoing climate change …
Characterising landslide susceptibility of an environmentally fragile region of the Western Ghats in Idukki district, Kerala, India, through statistical modelling and …
GS Pradeep, MV Ninu Krishnan, H Vijith - Natural Hazards, 2023 - Springer
Landslide susceptibility of mountainous villages (locally known as Panchayats) in the
Western Ghats of Kerala was critically analysed in the present research by considering …
Western Ghats of Kerala was critically analysed in the present research by considering …
Reservoir Landslide Displacement Prediction Under Rainfall Based on the ILF-FFT Method
W Junwei, L Yiliang, Z Guangcheng, H **nli… - Bulletin of Engineering …, 2023 - Springer
Landslide prediction and early warning have always been the emphasis and difficulty of
geological disaster prevention and mitigation. The prediction and early warning method is …
geological disaster prevention and mitigation. The prediction and early warning method is …