Search
Search Results
-
Landslide susceptibility prediction and map** using the LD-BiLSTM model in seismically active mountainous regions
Machine learning models have been widely used in landslide susceptibility prediction. However, landslide multidimensional feature extraction, model...
-
Landslides and flood multi-hazard assessment using machine learning techniques
Saudi Arabia is affected by various types of natural hazards that affect people's lives and property. In this paper, the effects of landslides and...
-
A study of non-landslide samples and weights for map** landslide susceptibility using regression and clustering methods
Landslides are considered one of the most frequent natural disasters that cause human loss and damage property, affecting the sustainability of...
-
Rockfall susceptibility along Pasang Lhamu and Galchhi-Rasuwagadhi highways, Rasuwa, Central Nepal
The road network in Central Nepal suffered blockades and damage from numerous landslides and rockfalls due to the earthquake sequence in Gorkha,...
-
Active High-Locality Landslides in Mao County: Early Identification and Deformational Rules
High-locality landslides are located on slopes at high elevations and are characterized by long sliding distances, large gravitational potential...
-
Seismic and geomorphic assessment for coseismic landslides zonation in tropical volcanic contexts
The Poás volcano is an active volcano of Costa Rica with intense tectonic activity in its flanks. Historically, the volcano has presented strong,...
-
Landslide Susceptibility Zonation Using GIS-Based Frequency Ratio Approach in the Kulon Progo Mountains Area, Indonesia
Landslides cause many casualties, environmental damage, property losses, and psychological impacts. Landslides frequently occur in the Kulon Progo...
-
Landslide hazard and susceptibility maps derived from satellite and remote sensing data using limit equilibrium analysis and machine learning model
Landslide susceptibility map** and landslide hazard map** are approaches used to assess the potential for landslides and predict the occurrence...
-
Influence of anthropogenic activities on landslide susceptibility: A case study in Solan district, Himachal Pradesh, India
Landslides in the Himalayan region are primarily controlled by natural parameters, including rainfall, seismic activity, and anthropogenic...
-
Landslide Susceptibility Assessment Based on Machine Learning Techniques
In this chapter, we will introduce the landslide susceptibility assessment (LSA) methods based on machine learning techniques. The economic loss or...
-
Spatial distribution of shallow landslides caused by Typhoon Lekima in 2019 in Zhejiang Province, China
In recent years, the coastal region of Southeast China has witnessed a significant increase in the frequency and intensity of extreme rainfall events...
-
Comparative analysis and landslide susceptibility map** of Hunza and Nagar Districts, Pakistan
Landslides are the most common and catastrophic activities in the mountainous topography which are responsible for extensive economic and human...
-
An information quantity and machine learning integrated model for landslide susceptibility map** in Jiuzhaigou, China
Landslide susceptibility map** (LSM) with machine learning (ML) models highly depends on the number and accuracy of landslides (positive samples)...
-
Assessing landslide susceptibility based on hybrid multilayer perceptron with ensemble learning
Landslides have brought about serious human and economic losses worldwide. Modeling landslide susceptibility is an important technology to avoid the...
-
Spatio-temporal prediction and map** of landslides using MTInSAR-learning logistic regression and weight of evidence modeling in urban environments: a case study for the Büyükçekmece–Küçükçekmece region, İstanbul, Türkiye
The megacity İstanbul (Türkiye) is rapidly urbanizing with a high population growth. Similar to this, the region of İstanbul Metropole between the...
-
An integrated landslide susceptibility model to assess landslides along linear infrastructure for environmental management
Landslides are a serious concern in the Western and Eastern Ghats of India. They impede the social and economic development of the region. Landslides...
-
Probabilistic and physically-based modelling of rainfall-induced landslide susceptibility using integrated GIS-FORM algorithm
The susceptibility map** of rainfall-induced landslides is an effective tool for predicting and locating disaster-prone zones at the regional...
-
Landslides triggered by an extraordinary rainfall event in Central Italy on September 15, 2022
Timely and systematic collection of landslide information after a triggering event is pivotal for the definition of landslide trends in response to...
-
Soil micromorphology for modeling spatial on landslide susceptibility map**: a case study in Kelara Subwatershed, Jeneponto Regency of South Sulawesi, Indonesia
Comprehensively, the results of categorizing the susceptibility levels demonstrate distinct results, where landslides are more common in areas with a...
-
Feasibility assessment of multi-criteria decision making and quantitative landslide susceptibility methods: A case study of Mao-Maram Manipur
The present work aimed to assess the feasibility of three methods, namely, analytical hierarchy process, frequency ratio and binary logistic...
