The Potential Role of Tree Diversity in Reducing Shallow Landslide Risk
Sign Up to like & getrecommendations! Published in 2017 at "Environmental Management"
DOI: 10.1007/s00267-017-0820-9
Abstract: Recently, interest in utilizing ecosystems for disaster risk reduction has increased, even though there remains considerable uncertainty regarding the role of ecosystems in buffering against natural hazards. This ecosystem role can be considered an ecosystem… read more here.
Keywords: risk; shallow landslide; ecosystem; role ... See more keywords
The influence of the inventory on the determination of the rainfall-induced shallow landslides susceptibility using generalized additive models
Sign Up to like & getrecommendations! Published in 2020 at "Catena"
DOI: 10.1016/j.catena.2020.104630
Abstract: Abstract Data-driven methodologies are widely used for the reconstruction of shallow landslide susceptibility maps. The outputs of these models strictly depend on the type of landslide inventories used for the modelling. Thus, this work performed… read more here.
Keywords: susceptibility; shallow landslide; area; rainfall ... See more keywords
Applicability of an interferometric optical fibre sensor for shallow landslide monitoring – Experimental tests
Sign Up to like & getrecommendations! Published in 2021 at "Engineering Geology"
DOI: 10.1016/j.enggeo.2021.106128
Abstract: Abstract Optical fibre-based sensors have found a variety of applications throughout engineering and science in the measurement of strain and temperature. Current commercially available sensing technologies are able to provide strain measurements in the order… read more here.
Keywords: optical fibre; landslide monitoring; geology; shallow landslide ... See more keywords
Modeling probabilistic-based reliability assessment of gridded rainfall thresholds for shallow landslide occurrence due to the uncertainty of rainfall in time and space
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Hydroinformatics"
DOI: 10.2166/hydro.2023.124
Abstract: This study aims to model a probabilistic-based reliability assessment of the gridded rainfall thresholds for shallow landslide occurrence (RA_GRTE_LS) to quantify the effect of the uncertainty of rainfall in time and space on the rainfall… read more here.
Keywords: shallow landslide; time; thresholds shallow; landslide occurrence ... See more keywords
A Novel GIS-Based Random Forest Machine Algorithm for the Spatial Prediction of Shallow Landslide Susceptibility
Sign Up to like & getrecommendations! Published in 2020 at "Forests"
DOI: 10.3390/f11010118
Abstract: This study developed and verified a new hybrid machine learning model, named random forest machine (RFM), for the spatial prediction of shallow landslides. RFM is a hybridization of two state-of-the-art machine learning algorithms, random forest… read more here.
Keywords: machine; shallow landslide; forest machine; random forest ... See more keywords
Introducing SlideforMap; a probabilistic finite slope approach for modelling shallow landslide probability in forested situations
Sign Up to like & getrecommendations! Published in 2021 at "Natural Hazards and Earth System Sciences"
DOI: 10.5194/nhess-2021-140
Abstract: Abstract. Worldwide, shallow landslides repeatedly pose a risk to infrastructure and residential areas. To analyse and predict the risk posed by shallow landslides, a wide range of scientific methods and tools to model shallow landslide… read more here.
Keywords: root; landslide probability; soil; approach ... See more keywords
Investigating Causal Factors of Shallow Landslides in Grassland Regions of Switzerland
Sign Up to like & getrecommendations! Published in 2021 at "Natural Hazards and Earth System Sciences"
DOI: 10.5194/nhess-2021-198
Abstract: Abstract. Mountainous grassland slopes can be severely affected by soil erosion. To better understand the regional differences of soil erosion patterns, we determine the locations of shallow landslides across different sites and aim at identifying… read more here.
Keywords: shallow landslides; explanatory variables; site; causal factors ... See more keywords