Search Results - "Landslides"

Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous watershed, Japan by Dou, Jie, Yunus, Ali P., Bui, Dieu Tien, Merghadi, Abdelaziz, Sahana, Mehebub, Zhu, Zhongfan, Chen, Chi-Wen, Han, Zheng, Pham, Binh Thai

“…Heavy rainfall in mountainous terrain can trigger numerous landslides in hill slopes. These landslides can be deadly to the community living downslope with…”
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A deep learning algorithm using a fully connected sparse autoencoder neural network for landslide susceptibility prediction by Huang, Faming, Zhang, Jing, Zhou, Chuangbing, Wang, Yuhao, Huang, Jinsong, Zhu, Li

“…The environmental factors of landslide susceptibility are generally uncorrelated or non-linearly correlated, resulting in the limited prediction performances…”
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Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree by Tien Bui, Dieu, Tuan, Tran Anh, Klempe, Harald, Pradhan, Biswajeet, Revhaug, Inge

“…Preparation of landslide susceptibility maps is considered as the first important step in landslide risk assessments, but these maps are accepted as an end…”
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A review of the recent literature on rainfall thresholds for landslide occurrence by Segoni, Samuele, Piciullo, Luca, Gariano, Stefano Luigi

“…The topic of rainfall thresholds for landslide occurrence was thoroughly investigated, producing abundance of case studies at different scales of analysis and…”
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Landslide susceptibility prediction based on a semi-supervised multiple-layer perceptron model by Huang, Faming, Cao, Zhongshan, Jiang, Shui-Hua, Zhou, Chuangbing, Huang, Jinsong, Guo, Zizheng

“…Conventional supervised and unsupervised machine learning models used for landslide susceptibility prediction (LSP) have many drawbacks, such as an…”
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Time series analysis and long short-term memory neural network to predict landslide displacement by Yang, Beibei, Yin, Kunlong, Lacasse, Suzanne, Liu, Zhongqiang

“…A good prediction of landslide displacement is an essential component for implementing an early warning system. In the Three Gorges Reservoir Area (TGRA), many…”
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Landslide susceptibility mapping using random forest, boosted regression tree, classification and regression tree, and general linear models and comparison of their performance at Wadi Tayyah Basin, Asir Region, Saudi Arabia by Youssef, Ahmed Mohamed, Pourghasemi, Hamid Reza, Pourtaghi, Zohre Sadat, Al-Katheeri, Mohamed M.

“…The purpose of the current study is to produce landslide susceptibility maps using different data mining models. Four modeling techniques, namely random forest…”
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Landslide detection from an open satellite imagery and digital elevation model dataset using attention boosted convolutional neural networks by Ji, Shunping, Yu, Dawen, Shen, Chaoyong, Li, Weile, Xu, Qiang

“…Convolution neural network (CNN) is an effective and popular deep learning method which automatically learns complicated non-linear mapping from original…”
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The Varnes classification of landslide types, an update by Hungr, Oldrich, Leroueil, Serge, Picarelli, Luciano

“…The goal of this article is to revise several aspects of the well-known classification of landslides, developed by Varnes ( 1978 ). The primary recommendation…”
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The Maoxian landslide as seen from space: detecting precursors of failure with Sentinel-1 data by Intrieri, Emanuele, Raspini, Federico, Fumagalli, Alfio, Lu, Ping, Del Conte, Sara, Farina, Paolo, Allievi, Jacopo, Ferretti, Alessandro, Casagli, Nicola

“…Post-event Interferometric Synthetic Aperture Radar (InSAR) analysis on a stack of 45 C-band SAR images acquired by the ESA Sentinel-1 satellites from 9…”
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Machine learning ensemble modelling as a tool to improve landslide susceptibility mapping reliability by Di Napoli, Mariano, Carotenuto, Francesco, Cevasco, Andrea, Confuorto, Pierluigi, Di Martire, Diego, Firpo, Marco, Pepe, Giacomo, Raso, Emanuele, Calcaterra, Domenico

“…Statistical landslide susceptibility mapping is a topic in complete and constant evolution, especially since the introduction of machine learning (ML) methods…”
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Detection and segmentation of loess landslides via satellite images: a two-phase framework by Li, Huajin, He, Yusen, Xu, Qiang, Deng, Jiahao, Li, Weile, Wei, Yong

“…Landslides are catastrophic natural hazards that often lead to loss of life, property damage, and economic disruption. Image-based landslide investigations are…”
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Failure mechanism and kinematics of the deadly June 24th 2017 Xinmo landslide, Maoxian, Sichuan, China by Fan, Xuanmei, Xu, Qiang, Scaringi, Gianvito, Dai, Lanxin, Li, Weile, Dong, Xiujun, Zhu, Xing, Pei, Xiangjun, Dai, Keren, Havenith, Hans-Balder

“…At 5:38 am on the 24th June, 2017, a catastrophic rock avalanche destroyed the whole village of Xinmo, in Maoxian County, Sichuan Province, China. About 4.3…”
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Landslide detection using deep learning and object-based image analysis by Ghorbanzadeh, Omid, Shahabi, Hejar, Crivellari, Alessandro, Homayouni, Saeid, Blaschke, Thomas, Ghamisi, Pedram

“…Recent landslide detection studies have focused on pixel-based deep learning (DL) approaches. In contrast, intuitive annotation of landslides from satellite…”
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Coseismic landslides triggered by the 8th August 2017 M s 7.0 Jiuzhaigou earthquake (Sichuan, China): factors controlling their spatial distribution and implications for the seismogenic blind fault identification by Fan, Xuanmei, Scaringi, Gianvito, Xu, Qiang, Zhan, Weiwei, Dai, Lanxin, Li, Yusheng, Pei, Xiangjun, Yang, Qin, Huang, Runqiu

“…On 8th August 2017, a magnitude Ms 7.0 earthquake struck the County of Jiuzhaigou, in Sichuan Province, China. It was the third Ms ≥ 7.0 earthquake in the…”
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Successive landsliding and damming of the Jinsha River in eastern Tibet, China: prime investigation, early warning, and emergency response by Fan, Xuanmei, Xu, Qiang, Alonso-Rodriguez, Andres, Subramanian, Srikrishnan Siva, Li, Weile, Zheng, Guang, Dong, Xiujun, Huang, Runqiu

“…Two successive landslides within a month started in October 11, 2018, and dammed twice the Jinsha River at the border between Sichuan Province and Tibet in…”
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Prediction of landslide displacement with step-like behavior based on multialgorithm optimization and a support vector regression model by Miao, Fasheng, Wu, Yiping, Xie, Yuanhua, Li, Yaonan

“…Landslide prediction is important for mitigating geohazards but is very challenging. In landslide evolution, displacement depends on the local geological…”
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Landslide detection in the Himalayas using machine learning algorithms and U-Net by Meena, Sansar Raj, Soares, Lucas Pedrosa, Grohmann, Carlos H., van Westen, Cees, Bhuyan, Kushanav, Singh, Ramesh P., Floris, Mario, Catani, Filippo

“…Event-based landslide inventories are essential sources to broaden our understanding of the causal relationship between triggering events and the occurring…”
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Prediction of a multi-hazard chain by an integrated numerical simulation approach: the Baige landslide, Jinsha River, China by Fan, Xuanmei, Yang, Fan, Siva Subramanian, Srikrishnan, Xu, Qiang, Feng, Zetao, Mavrouli, Olga, Peng, Ming, Ouyang, Chaojun, Jansen, John D., Huang, Runqiu

“…Successive major landslides during October and November 2018 in Baige village, eastern Tibet, dammed the Jinsha River on two occasions, and the subsequent dam…”
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Multitemporal UAV surveys for landslide mapping and characterization by Rossi, Guglielmo, Tanteri, Luca, Tofani, Veronica, Vannocci, Pietro, Moretti, Sandro, Casagli, Nicola

“…This paper presents the preliminary results of the IPL project 196 “Development and applications of a multi-sensor drone for geohazards monitoring and…”
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