GIS-based landslide susceptibility map** and assessment using bivariate statistical methods in Simada area, northwestern Ethiopia

T Mersha, M Meten - Geoenvironmental disasters, 2020 - Springer
Simada area is found in the South Gondar Zone of Amhara National Regional State and it is
780Km far from Addis Ababa. Physiographically, it is part of the northwestern highlands of …

GIS-based groundwater potential map** in Shahroud plain, Iran. A comparison among statistical (bivariate and multivariate), data mining and MCDM approaches

A Arabameri, K Rezaei, A Cerda, L Lombardo… - Science of the total …, 2019 - Elsevier
In arid and semi-arid areas, groundwater resource is one of the most important water
sources by the humankind. Knowledge of groundwater distribution over space, associated …

GIS-based landslide susceptibility map** using logistic regression, random forest and decision and regression tree models in Chattogram District, Bangladesh

MS Chowdhury, MN Rahman, MS Sheikh, MA Sayeid… - Heliyon, 2024 - cell.com
The frequency of landslides and related economic and environmental damage has
increased in recent decades across the hilly areas of the world, no exception is Bangladesh …

Landslide susceptibility map** using statistical methods in Uatzau catchment area, northwestern Ethiopia

A Wubalem - Geoenvironmental Disasters, 2021 - Springer
Uatzau basin in northwestern Ethiopia is one of the most landslide-prone regions, which
characterized by frequent high landslide occurrences causing damages in farmlands, non …

Landslide susceptibility map** using information value and logistic regression models in Goncha Siso Eneses area, northwestern Ethiopia

A Wubalem, M Meten - SN Applied Sciences, 2020 - Springer
Abstract Goncha Siso Eneses area of East Gojam Zone in northwestern Ethiopia is one of
the most landslide-prone regions, which is characterized by frequent landslide occurrences …

Comparative assessment using boosted regression trees, binary logistic regression, frequency ratio and numerical risk factor for gully erosion susceptibility modelling

A Arabameri, B Pradhan, L Lombardo - Catena, 2019 - Elsevier
The initiation and development of gullies as worldwide features in landscape have resulted
in land degradation, soil erosion, desertification, flooding and groundwater level decrease …

A comparative study of regional landslide susceptibility map** with multiple machine learning models

Y Wang, L Wang, S Liu, P Liu, Z Zhu… - Geological …, 2024 - Wiley Online Library
The purpose of this study is to utilize three machine learning models—random forest, logistic
regression and extreme gradient boosting—to assess the landslide susceptibility of Wushan …

Weights of evidence modeling for landslide susceptibility map** of Kabi-Gebro locality, Gundomeskel area, Central Ethiopia

N Getachew, M Meten - Geoenvironmental Disasters, 2021 - Springer
Abstract Kabi-Gebro locality of Gundomeskel area is located within the Abay Basin at Dera
District of North Shewa Zone in the Central highland of Ethiopia and it is about 320Km from …

GIS-based forest fire susceptibility modeling in Pauri Garhwal, India: a comparative assessment of frequency ratio, analytic hierarchy process and fuzzy modeling …

A Tiwari, M Shoab, A Dixit - Natural hazards, 2021 - Springer
This study performs a comparative evaluation of Frequency Ratio (FR), Analytic Hierarchy
Process (AHP), and Fuzzy AHP (FAHP) modeling techniques for forest fire susceptibility …

[HTML][HTML] A comparative study of frequency ratio, Shannon's entropy and analytic hierarchy process (AHP) models for landslide susceptibility assessment

S Panchal, AK Shrivastava - ISPRS International Journal of Geo …, 2021 - mdpi.com
Landslide susceptibility maps are very important tools in the planning and management of
landslide prone areas. Qualitative and quantitative methods each have their own …