A bibliometric and content analysis of research trends on GIS-based landslide susceptibility from 2001 to 2020
J Huang, X Wu, S Ling, X Li, Y Wu, L Peng… - … Science and Pollution …, 2022 - Springer
To assess the status of hotspots and research trends on geographic information system
(GIS)–based landslide susceptibility (LS), we analysed 1142 articles from the Thomas …
(GIS)–based landslide susceptibility (LS), we analysed 1142 articles from the Thomas …
Combining geomorphometry, feature extraction techniques and Earth-surface processes research: The way forward
G Sofia - Geomorphology, 2020 - Elsevier
In recent years, the wealth of technological development revolutionised our ability to collect
data in geosciences. Due to the unprecedented level of detail of these datasets …
data in geosciences. Due to the unprecedented level of detail of these datasets …
Influence of DEM resolution on landslide simulation performance based on the Scoops3D model
H Qiu, Y Zhu, W Zhou, H Sun, J He… - … , Natural Hazards and …, 2022 - Taylor & Francis
Using the physical deterministic model to analyze landslide stability has become a hotspot
of landslide disasters research all over the world. The Digital Elevation Model (DEM) …
of landslide disasters research all over the world. The Digital Elevation Model (DEM) …
[HTML][HTML] Uncertainties of landslide susceptibility prediction: influences of random errors in landslide conditioning factors and errors reduction by low pass filter method
In the existing landslide susceptibility prediction (LSP) models, the influences of random
errors in landslide conditioning factors on LSP are not considered, instead the original …
errors in landslide conditioning factors on LSP are not considered, instead the original …
The influence of DEM spatial resolution on landslide susceptibility map** in the Baxie River basin, NW China
The selection of an appropriate map resolution is highly important for landslide susceptibility
assessment. No consistent objective criteria, however, are currently applied to the choice of …
assessment. No consistent objective criteria, however, are currently applied to the choice of …
The influence of the inventory on the determination of the rainfall-induced shallow landslides susceptibility using generalized additive models
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 …
susceptibility maps. The outputs of these models strictly depend on the type of landslide …
A Data-Driven model on Google earth engine for landslide susceptibility assessment in the Hengduan Mountains, the Qinghai–Tibetan Plateau
Amplifying landslide hazards in the backdrop of warming climate and intensifying human
activities calls for an integrated framework for accurately evaluating landslide susceptibility …
activities calls for an integrated framework for accurately evaluating landslide susceptibility …
A multi-criteria decision analysis (MCDA) approach for landslide susceptibility map** of a part of Darjeeling District in North-East Himalaya, India
Landslides are the nation's hidden disaster, significantly increasing economic loss and
social disruption. Unfortunately, limited information is available about the depth and extent of …
social disruption. Unfortunately, limited information is available about the depth and extent of …