Alireza Arabameri
Alireza Arabameri
Department of Geomorphology, Tarbiat Modares University
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A comparison of statistical methods and multi-criteria decision making to map flood hazard susceptibility in Northern Iran
A Arabameri, K Rezaei, A Cerdą, C Conoscenti, Z Kalantari
Science of the Total Environment 660, 443-458, 2019
Erodibility prioritization of sub-watersheds using morphometric parameters analysis and its mapping: A comparison among TOPSIS, VIKOR, SAW, and CF multi-criteria decision …
AA Ameri, HR Pourghasemi, A Cerda
Science of the Total Environment 613, 1385-1400, 2018
GIS-based groundwater potential mapping in Shahroud plain, Iran. A comparison among statistical (bivariate and multivariate), data mining and MCDM approaches
A Arabameri, K Rezaei, A Cerda, L Lombardo, J Rodrigo-Comino
Science of the total environment 658, 160-177, 2019
GIS-based gully erosion susceptibility mapping: a comparison among three data-driven models and AHP knowledge-based technique
A Arabameri, K Rezaei, HR Pourghasemi, S Lee, M Yamani
Environmental earth sciences 77, 1-22, 2018
A novel ensemble approach for landslide susceptibility mapping (LSM) in Darjeeling and Kalimpong districts, West Bengal, India
J Roy, S Saha, A Arabameri, T Blaschke, DT Bui
Remote Sensing 11 (23), 2866, 2019
Gully erosion zonation mapping using integrated geographically weighted regression with certainty factor and random forest models in GIS
A Arabameri, B Pradhan, K Rezaei
Journal of environmental management 232, 928-942, 2019
Landslide susceptibility evaluation and management using different machine learning methods in the Gallicash River Watershed, Iran
A Arabameri, S Saha, J Roy, W Chen, T Blaschke, D Tien Bui
Remote Sensing 12 (3), 475, 2020
Optimization of state-of-the-art fuzzy-metaheuristic ANFIS-based machine learning models for flood susceptibility prediction mapping in the Middle Ganga Plain, India
A Arora, A Arabameri, M Pandey, MA Siddiqui, UK Shukla, DT Bui, ...
Science of the Total Environment 750, 141565, 2021
GIS-based landslide susceptibility mapping using numerical risk factor bivariate model and its ensemble with linear multivariate regression and boosted regression tree algorithms
A Arabameri, B Pradhan, K Rezaei, M Sohrabi, Z Kalantari
Journal of Mountain Science 16 (3), 595-618, 2019
Spatial modelling of gully erosion using GIS and R programing: A comparison among three data mining algorithms
A Arabameri, B Pradhan, HR Pourghasemi, K Rezaei, N Kerle
Applied sciences 8 (8), 1369, 2018
Comparison of machine learning models for gully erosion susceptibility mapping
A Arabameri, W Chen, M Loche, X Zhao, Y Li, L Lombardo, A Cerda, ...
Geoscience Frontiers 11 (5), 1609-1620, 2020
Assessment of landslide susceptibility using statistical-and artificial intelligence-based FR–RF integrated model and multiresolution DEMs
A Arabameri, B Pradhan, K Rezaei, CW Lee
Remote Sensing 11 (9), 999, 2019
Gully erosion susceptibility mapping using GIS-based multi-criteria decision analysis techniques
A Arabameri, B Pradhan, K Rezaei, C Conoscenti
Catena 180, 282-297, 2019
Spatial modelling of gully erosion using evidential belief function, logistic regression, and a new ensemble of evidential belief function–logistic regression algorithm
A Arabameri, B Pradhan, K Rezaei, M Yamani, HR Pourghasemi, ...
Land Degradation & Development 29 (11), 4035-4049, 2018
Flood susceptibility assessment using novel ensemble of hyperpipes and support vector regression algorithms
A Saha, SC Pal, A Arabameri, T Blaschke, S Panahi, I Chowdhuri, ...
Water 13 (2), 241, 2021
Novel ensembles of COPRAS multi-criteria decision-making with logistic regression, boosted regression tree, and random forest for spatial prediction of gully erosion susceptibility
A Arabameri, M Yamani, B Pradhan, A Melesse, K Shirani, DT Bui
Science of the total environment 688, 903-916, 2019
Predicting the deforestation probability using the binary logistic regression, random forest, ensemble rotational forest, REPTree: A case study at the Gumani River Basin, India
S Saha, M Saha, K Mukherjee, A Arabameri, PTT Ngo, GC Paul
Science of the Total Environment 730, 139197, 2020
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 183, 104223, 2019
Flash flood susceptibility modelling using functional tree and hybrid ensemble techniques
A Arabameri, S Saha, W Chen, J Roy, B Pradhan, DT Bui
Journal of Hydrology 587, 125007, 2020
Identification of erosion-prone areas using different multi-criteria decision-making techniques and GIS
A Arabameri, B Pradhan, HR Pourghasemi, K Rezaei
Geomatics, Natural Hazards and Risk 9 (1), 1129-1155, 2018
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