Literature review and bibliometric analysis on data-driven assessment of landslide susceptibility
In recent decades, data-driven landslide susceptibility models (DdLSM), which are based on
statistical or machine learning approaches, have become popular to estimate the relative …
statistical or machine learning approaches, have become popular to estimate the relative …
Landslide hazard assessment: recent trends and techniques
SD Pardeshi, SE Autade, SS Pardeshi - SpringerPlus, 2013 - Springer
Landslide hazard assessment is an important step towards landslide hazard and risk
management. There are several methods of Landslide Hazard Zonation (LHZ) viz. heuristic …
management. There are several methods of Landslide Hazard Zonation (LHZ) viz. heuristic …
Mapping landslide susceptibility using data-driven methods
Most epistemic uncertainty within data-driven landslide susceptibility assessment results
from errors in landslide inventories, difficulty in identifying and mapping landslide causes …
from errors in landslide inventories, difficulty in identifying and mapping landslide causes …
Landslide susceptibility mapping using analytic hierarchy process and information value methods along a highway road section in Constantine, Algeria
This research work deals with the landslide susceptibility assessment using Analytic
hierarchy process (AHP) and information value (IV) methods along a highway road section …
hierarchy process (AHP) and information value (IV) methods along a highway road section …
Mapping landslide susceptibility and types using Random Forest
Landslides are one of the most destructive natural hazards; they can drastically alter
landscape morphology, destroy man-made structures, and endanger people's life. Landslide …
landscape morphology, destroy man-made structures, and endanger people's life. Landslide …
Integrating principal component analysis with statistically-based models for analysis of causal factors and landslide susceptibility mapping: A comparative study from …
Y Tang, F Feng, Z Guo, W Feng, Z Li, J Wang… - Journal of Cleaner …, 2020 - Elsevier
Landslide susceptibility assessment is an important task in urban planning and risk
management. For mountainous areas where multiple types of landslides occur, the …
management. For mountainous areas where multiple types of landslides occur, the …
An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps
HA Nefeslioglu, C Gokceoglu, H Sonmez - Engineering Geology, 2008 - Elsevier
The main purpose of this study is to highlight the conceptual differences of produced
susceptibility models by applying different sampling strategies: from all landslide area with …
susceptibility models by applying different sampling strategies: from all landslide area with …
[图书][B] Landslide risk assessment
EM Lee, DKC Jones - 2023 - icevirtuallibrary.com
See also specific Asian countries asphyxiation, 287–288 Assam (India) earthquake, 39
assets fixed, 81, 82, 254, 255f, 264 Hong Kong example, 118 market value, 337–339, 338t …
assets fixed, 81, 82, 254, 255f, 264 Hong Kong example, 118 market value, 337–339, 338t …
Prediction of landslide susceptibility using rare events logistic regression: a case-study in the Flemish Ardennes (Belgium)
M Van Den Eeckhaut, T Vanwalleghem, J Poesen… - Geomorphology, 2006 - Elsevier
In this article a statistical multivariate method, ie, rare events logistic regression, is evaluated
for the creation of a landslide susceptibility map in a 200 km2 study area of the Flemish …
for the creation of a landslide susceptibility map in a 200 km2 study area of the Flemish …
Landslide susceptibility mapping for a part of tectonic Kelkit Valley (Eastern Black Sea region of Turkey)
HA Nefeslioglu, TY Duman, S Durmaz - Geomorphology, 2008 - Elsevier
Considering damage to man-made structures by natural hazards in Turkey, landslides are
the second most important hazard after earthquakes. For this reason, a large-scale study …
the second most important hazard after earthquakes. For this reason, a large-scale study …