Results 21 to 30 of about 3,934,319 (276)

Environmental Impact of Silicic Magmatism in Large Igneous Province Events

open access: yesGeophysical Monograph Series, Page 133-151., 2021

Exploring the links between Large Igneous Provinces and dramatic environmental impact

An emerging consensus suggests that Large Igneous Provinces (LIPs) and Silicic LIPs (SLIPs) are a significant driver of dramatic global environmental and biological changes, including mass extinctions.
Scott E. Bryan
wiley  

+2 more sources

Modelling rainfall-induced landslides at a regional scale, a machine learning based approach

open access: yesLandslides, 2023
In Italy, rainfall represents the most common triggering factor for landslides; thus, many Italian Regional Departments of Civil Protection are setting up warning systems based on rainfall recordings.
S. Magri   +6 more
semanticscholar   +1 more source

Evaluation of a Tilt-Based Monitoring System for Rainfall-Induced Landslides: Development and Physical Modelling

open access: yesWater, 2023
Landslides in northern India are a frequently occurring risk during the rainy season resulting in human, animal, and property losses as well as obstructing transportation facilities.
A. Paswan, A. Shrivastava
semanticscholar   +1 more source

Framework for risk assessment of economic loss from structures damaged by rainfall-induced landslides using machine learning

open access: yesGeorisk: Assessment and Management of Risk for Engineered Systems and Geohazards, 2023
Given the increased frequency of extreme rainfall events, pre-disaster countermeasures against landslides triggered by heavy rainfall are important to enhance disaster resilience.
Hiroki Ishibashi
semanticscholar   +1 more source

Prediction of Shallow Rainfall-Induced Landslides Using Shear Strength of Unsaturated Soil [PDF]

open access: yes, 2021
Rainfall-induced landslides occur more often with climate change, resulting in destruction and loss of lives in many parts of the world. Predicting such landslides is paramount to maintain local infrastructure and the well-being of communities.
Ravindran, S   +3 more
core   +1 more source

Visualization analysis of rainfall-induced landslides hazards based on remote sensing and geographic information system-an overview

open access: yesInternational Journal of Digital Earth, 2023
In recent years, RS and GIS technologies have played an increasingly important role in various aspects of rainfall induced landslide research. In order to systematically understand their application situation, this paper extensively used various ...
Zheng-li Yang   +11 more
semanticscholar   +1 more source

Feature-Based Constraint Deep CNN Method for Mapping Rainfall-Induced Landslides in Remote Regions With Mountainous Terrain: An Application to Brazil

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Landslides have caused tremendous damage to human lives and property safety. However, the complex environment of mountain landslides and the vegetation coverage around landslides make it difficult to identify landslides quickly and efficiently using high-
Guosen Xu   +4 more
semanticscholar   +1 more source

Changes in the occurrence of rainfall-induced landslides in Calabria, southern Italy, in the 20th century [PDF]

open access: yesNatural Hazards and Earth System Sciences, 2015
Only a few studies have investigated the geographical and temporal variations in the frequency and distribution of rainfall-induced landslides, and the consequences of the variations on landslide risk.
S. L. Gariano, O. Petrucci, F. Guzzetti
doaj   +1 more source

Application of Machine Learning Classification Algorithm to Precipitation-induced Landslides Forecasting

open access: yes应用气象学报, 2022
To address the practical needs of objectively describing the uncertainty of rainfall-based landslides and the existing problems of single warning indicators and subjective forecasting methods in the meteorological disaster early warning business ...
Liu Haizhi   +6 more
doaj   +1 more source

Landslide Segmentation with Deep Learning: Evaluating Model Generalization in Rainfall-Induced Landslides in Brazil

open access: yesRemote Sensing, 2022
Automatic landslide mapping is crucial for a fast response in a disaster scenario and improving landslide susceptibility models. Recent studies highlighted the potential of deep learning methods for automatic landslide segmentation.
L. P. Soares   +3 more
semanticscholar   +1 more source

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