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Chiara Martinello, Claudio Mercurio, Chiara Cappadonia, Viviana Bellomo, Andrea Conte, Giampiero Mineo, Giulia Di Frisco, Grazia Azzara, Margherita Bufalini, Marco Materazzi and Edoardo Rotigliano
In statistical landslide susceptibility evaluation, the quality of the model and its prediction image heavily depends on the quality of the landslide inventories used for calibration. However, regional-scale inventories made available by public territori...
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Sotiris Valkaniotis, George Papathanassiou, Vassilis Marinos, Charalampos Saroglou, Dimitrios Zekkos, Vasileios Kallimogiannis, Efstratios Karantanellis, Ioannis Farmakis, Georgios Zalachoris, John Manousakis and Olga-Joan Ktenidou
Medicanes, a type of strong hurricanes/cyclones occurring in the Mediterranean, can be the source of major geohazard events in Mediterranean coastal and inland areas. Medicane Ianos that hit Greece during 17?19 September 2020 caused widespread damage, wi...
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Sandeep Panchal and Amit K. Shrivastava
Landslide susceptibility maps are very important tools in the planning and management of landslide prone areas. Qualitative and quantitative methods each have their own advantages and dis-advantages in landslide susceptibility mapping. The aim of this st...
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Carla Iadanza, Alessandro Trigila, Paolo Starace, Alessio Dragoni, Tommaso Biondo and Marco Roccisano
The new national IdroGEO web platform allows the navigation, social sharing and download of data, maps, reports of the Italian Landslide Inventory, national hazard maps, and risk indicators. It is a tool for communication and dissemination of information...
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Giacomo Titti, Cees van Westen, Lisa Borgatti, Alessandro Pasuto and Luigi Lombardo
Mapping existing landslides is a fundamental prerequisite to build any reliable susceptibility model. From a series of landslide presence/absence conditions and associated landscape characteristics, a binary classifier learns how to distinguish potential...
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Cheng-Chien Liu, Ming-Hsun Ko, Huei-Lin Wen, Kuei-Lin Fu and Shu-Ting Chang
Watersheds represent natural units of social?ecological systems and affect crop productivity. Extreme weather events accelerate the natural erosion process by triggering more landslides in watersheds. To achieve the land degradation neutrality set up by ...
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Cheng-Chien Liu, Wei Luo, Hsiao-Wei Chung, Hsiao-Yuan Yin and Ke-Wei Yan
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Christos Polykretis, Antigoni Faka and Christos Chalkias
The main purpose of this study is to explore the impact of analysis scale on the performance of a quantitative model for landslide susceptibility assessment through empirical analyses in the northern Peloponnese, Greece. A multivariate statistical model ...
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Omid Ghorbanzadeh, Khalil Didehban, Hamid Rasouli, Khalil Valizadeh Kamran, Bakhtiar Feizizadeh and Thomas Blaschke
In this study, we used Sentinel-1 and Sentinel-2 data to delineate post-earthquake landslides within an object-based image analysis (OBIA). We used our resulting landslide inventory map for training the data-driven model of the frequency ratio (FR) for l...
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Michele Licata, Victor Buleo Tebar, Francesco Seitone and Giandomenico Fubelli
Landslides triggered by heavy rainfall pose significant threats to human settlements and infrastructure in temperate and equatorial climate regions. This study focuses on the development of the Open Landslide Project (OLP), an open source landslide inven...
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Amit Kumar Batar and Teiji Watanabe
The Himalayan region and hilly areas face severe challenges due to landslide occurrences during the rainy seasons in India, and the study area, i.e., the Rudraprayag district, is no exception. However, the landslide related database and research are stil...
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Aspasia Litoseliti, Ioannis K. Koukouvelas, Konstantinos G. Nikolakopoulos and Vasiliki Zygouri
Assessment of landslide hazard across mountains is imperative for public safety. Pre- and post-earthquake landslide mapping envisage that landslides show significant size changes during earthquake activity. One of the purposes of earthquake-induced lands...
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Raffaele Albano and Aurelia Sole
In the last decade, real-time access to data and the use of high-resolution spatial information have provided scientists and engineers with valuable information to help them understand risk. At the same time, there has been a rapid growth of novel and cu...
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Sunmin Lee, Won-Kyung Baek, Hyung-Sup Jung and Saro Lee
In recent years, the incidence of localized heavy rainfall has increased as abnormal weather events occur more frequently. In densely populated urban areas, this type of heavy rain can cause extreme landslide damage, so that it is necessary to estimate a...
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Jhe-Syuan Lai, Shou-Hao Chiang and Fuan Tsai
This study explores two modeling issues that may cause uncertainty in landslide susceptibility assessments when different sampling strategies are employed. The first issue is that extracted attributes within a landslide inventory polygon can vary if the ...
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Mustafa Ridha Mezaal, Biswajeet Pradhan, Maher Ibrahim Sameen, Helmi Zulhaidi Mohd Shafri and Zainuddin Md Yusoff
An accurate inventory map is a prerequisite for the analysis of landslide susceptibility, hazard, and risk. Field survey, optical remote sensing, and synthetic aperture radar techniques are traditional techniques for landslide detection in tropical regio...
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Nuno Lapa, Fernando M. F. S. Marques and Aurora Rodrigues
Mass wasting events are the main processes of sedimentary dynamics that affect the marine environment and which, due to their spatial and temporal variability, are difficult to study and evaluate. Affecting the marine floor, between the coastline and the...
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Isidro Cantarino, Miguel Angel Carrion, Víctor Martínez-Ibáñez and Eric Gielen
Two methods are proposed here to improve the reliability of landslide susceptibility maps in risk assessment: (1) Frequency Ratio uses clusters/regression from inventory data, instead of standard intervals and (2) Diagnostic tests improve conventional cl...
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Ananta Man Singh Pradhan and Yun-Tae Kim
Landslides impact on human activities and socio-economic development, especially in mountainous areas. This study focuses on the comparison of the prediction capability of advanced machine learning techniques for the rainfall-induced shallow landslide su...
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Cristina Gordo, José Luís Zêzere and Rui Marques
The hydrographic basin of Ribeira Grande (S. Miguel Island, Azores) has a set of characteristics that enhance the occurrence of shallow slides that have been triggered by rainfall and earthquakes. Two landslide inventories were built according to the lan...
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