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Landslide Susceptibility Mapping: A Technical Note [PDF]

open access: yes, 2015
The ‘Electronic journal of geotechnical engineering’ has recently published a high impact research in the field of landslide susceptibility mapping. This article has a great scientific value with considerable contribution to the knowledge.
Yusof, Ismaiel   +4 more
core   +3 more sources

Mapping Landform and Landslide Susceptibility Using Remote Sensing, GIS and Field Observation in the Southern Cross Road, Malang Regency, East Java, Indonesia

open access: yesGeosciences, 2020
There has been an increasing trend of land area being brought under human’s use over time. This situation has led the community to carry out land-use development activities in landslide hazard-prone areas.
Syamsul Bachri   +5 more
doaj   +1 more source

A talus rock glacier in Nantlle Valley, North Wales

open access: yesJournal of Quaternary Science, EarlyView.
ABSTRACT Landforms comprising mixtures of fine and coarse sediment and deposited during late glacial times are ubiquitous in the British mountains. In many cases, their interpretation has often proved contentious; as a result, the non‐generic term discrete debris accumulations (DDA) has been used to describe them and, over the last 50 years, some have ...
Stephan Harrison, Ed Anderson
wiley   +1 more source

Evaluation of Shannon Entropy and Weights of Evidence Models in Landslide Susceptibility Mapping for the Pithoragarh District of Uttarakhand State, India

open access: yesAdvances in Civil Engineering, 2022
Landslide susceptibility mapping is considered a useful tool for planning, disaster management, and natural hazard mitigation of a region. Although there are different methods for predicting landslide susceptibility, the bivariate statistical analysis ...
Nguyen Duc Dam   +6 more
doaj   +1 more source

Estimation Accuracy Obviously Increased of Soil Organic Carbon Content Based on Habitat Patches Scale Using Interpretable Machine Learning in Southwest China

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Although machine learning models have been successfully applied to estimate soil organic carbon (SOC), the lack of interpretability research has resulted in the absence of mechanistic explanations for these models. Therefore, in this study, we adopted the following workflow: first, we divided the whole study area into several subregions using ...
Wei Zhou   +4 more
wiley   +1 more source

Análise da suscetibilidade a deslizamentos por critérios topográficos : um estudo no alto da Bacia do Ribeirão Belchior, Gaspar - SC [PDF]

open access: yes, 2013
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Engenharia Civil, Florianópolis, 2013Em novembro de 2008 Santa Catarina foi palco de mais uma catástrofe, um evento pluvial intenso ...
Lima, Gabriel Muniz de Araujo
core  

Landslide modeling using Weight of Evidence-Information Value (WoE-IV) for disaster risk mitigation in the Amprong Sub-Watershed, East Java Province, Indonesia

open access: yesJournal of Geospatial Science and Analytics
Landslide disasters predominantly occur in the upstream sections of river basins due to the steeper slopes typically found in these areas compared to the middle and downstream sections of watersheds.
Miftakhul Firdauz   +3 more
doaj   +1 more source

Evaluation of the influence of source and spatial resolution of DEMs on derivative products used in landslide mapping

open access: yesGeomatics, Natural Hazards & Risk, 2016
Landslides are a major geohazard, which result in significant human, infrastructure, and economic losses. Landslide susceptibility mapping can help communities plan and prepare for these damaging events.
Rubini Mahalingam, Michael J. Olsen
doaj   +1 more source

Mapping of landslide potential in Pyeongchang-gun, South Korea, using machine learning meta-based optimization algorithms

open access: yesEgyptian Journal of Remote Sensing and Space Sciences, 2022
Landslides are geological hazards that can have severe impacts, threatening both the people and the local environment of highlands or mountain slopes.
Muhammad Fulki Fadhillah   +5 more
doaj   +1 more source

Synoptic and large‐scale drivers of extreme precipitation events in the Himalayas

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Months associated with maximum frequency of extreme precipitation events (EPEs). 6102 extreme precipitation days (i.e., exceeding 99th percentile for daily precipitation) occurred across the Karakoram, Western Himalayas (WH), Central Himalayas (CH) and Eastern Himalayas (EH) during 1979 to 2023.
Priya Bharati   +2 more
wiley   +1 more source

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