Results 71 to 80 of about 18,543 (287)

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

A Novel Rule-Based Approach in Mapping Landslide Susceptibility [PDF]

open access: yesSensors, 2019
Despite recent advances in developing landslide susceptibility mapping (LSM) techniques, resultant maps are often not transparent, and susceptibility rules are barely made explicit. This weakens the proper understanding of conditioning criteria involved in shaping landslide events at the local scale.
Majid Roodposhti   +2 more
openaire   +4 more sources

Probabilistic approach to provide scenarios of earthquake-induced slope failures (PARSIFAL) applied to the Alcoy Basin (South Spain) [PDF]

open access: yes, 2018
The PARSIFAL (Probabilistic Approach to pRovide Scenarios of earthquake-Induced slope FAiLures) approach was applied in the basin of Alcoy (Alicante, South Spain), to provide a comprehensive scenario of earthquake-induced landslides.
Barton   +11 more
core   +4 more sources

Seasonal Variability of Precipitating Systems in Four Radar Domains of Northeast Brazil

open access: yesInternational Journal of Climatology, EarlyView.
This study analyzes the climatology and evaluates how the physical aspects of precipitating systems are influenced by the dry and wet seasons in Northeast Brazil, highlighting seasonal variations in the frequency, size, intensity, and duration of these systems in the regions of Natal, Maceió, Petrolina, and Salvador.
Amanda Carolina da Silva Queiroz   +1 more
wiley   +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

Earthquake induced landslide susceptibility mapping using an integrated ensemble frequency ratio and logistic regression models in West Sumatera Province, Indonesia [PDF]

open access: yes, 2014
An 8 Richter Scale (RS) earthquake struck West Sumatra on Wednesday, 30 September 2009, at 17.16 pm which led to huge number of landslides. Hence a comprehensive landslide susceptibility mapping (LSM) should be produced in order to reduce the damages to ...
Ahmad, Anuar   +4 more
core   +1 more source

Assessing Past and Future Temperature‐ and Precipitation‐Based Indicators in the Republic of Yemen

open access: yesInternational Journal of Climatology, EarlyView.
For the first time in the literature, this work assesses the past and future climatic trends over Yemen, a highly vulnerable country for which science‐based, high‐quality information for the development of climate change adaptation plans was not available until now.
Jorge Alvar‐Beltrán   +5 more
wiley   +1 more source

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

Predicting Landslides Using Locally Aligned Convolutional Neural Networks

open access: yes, 2020
Landslides, movement of soil and rock under the influence of gravity, are common phenomena that cause significant human and economic losses every year. Experts use heterogeneous features such as slope, elevation, land cover, lithology, rock age, and rock
Hajimoradlou, Ainaz   +2 more
core   +1 more source

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 [PDF]

open access: yes, 2016
Preparation of landslide susceptibility maps is considered as the first important step in landslide risk assessments, but these maps are accepted as an end product that can be used for land use planning.
Bui, Dieu Tien   +4 more
core   +1 more source

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