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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
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 …
Map** 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 map** landslide causes …
from errors in landslide inventories, difficulty in identifying and map** landslide causes …
Map** 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 …
Landslide susceptibility map** 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 …
[HTML][HTML] Enhancing landslide susceptibility map** incorporating landslide typology via stacking ensemble machine learning in Three Gorges Reservoir, China
Different types of landslides exhibit distinct relationships with environmental conditioning
factors. Therefore, in regions where multiple types of landslides coexist, it is required to …
factors. Therefore, in regions where multiple types of landslides coexist, it is required to …
Integrating principal component analysis with statistically-based models for analysis of causal factors and landslide susceptibility map**: 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
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 …
[หนังสือ][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)
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 …