R
Rabin Chakrabortty
Researcher at University of Burdwan
Publications - 92
Citations - 2531
Rabin Chakrabortty is an academic researcher from University of Burdwan. The author has contributed to research in topics: Environmental science & Geology. The author has an hindex of 18, co-authored 58 publications receiving 826 citations.
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Modeling groundwater potential zones of Puruliya district, West Bengal, India using remote sensing and GIS techniques
TL;DR: In this article, an attempt has been made to delineate the groundwater potenstation in a remote sensing and geographical information system (RS-GIS) based model for modeling and mapping of groundwater resources.
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Flood susceptibility mapping by ensemble evidential belief function and binomial logistic regression model on river basin of eastern India
TL;DR: In this article, the effectiveness of EBF, binomial logistic regression (LR) and ensemble EBF and LR (EBF-LR) model with remote sensing and GIS techniques for flood susceptibility mapping and spatial prediction of flood-susceptible areas in the Koiya river basin of West Bengal, India.
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Flash Flood Susceptibility Modeling Using New Approaches of Hybrid and Ensemble Tree-Based Machine Learning Algorithms
Shahab S. Band,Saeid Janizadeh,Subodh Chandra Pal,Asish Saha,Rabin Chakrabortty,Assefa M. Melesse,Amirhosein Mosavi +6 more
TL;DR: Topographical and hydrological parameters, e.g., altitude, slope, rainfall, and the river’s distance, were the most effective parameters in the flash flood susceptibility modeling of Kalvan watershed.
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Novel Ensemble Approach of Deep Learning Neural Network (DLNN) Model and Particle Swarm Optimization (PSO) Algorithm for Prediction of Gully Erosion Susceptibility
Shahab S. Band,Shahab S. Band,Saeid Janizadeh,Subodh Chandra Pal,Asish Saha,Rabin Chakrabortty,Manouchehr Shokri,Amirhosein Mosavi +7 more
TL;DR: It can be concluded that the DLNN model and its ensemble with the PSO algorithm can be used as a novel and practical method to predict gully erosion susceptibility, which can help planners and managers to manage and reduce the risk of this phenomenon.
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Threats of climate and land use change on future flood susceptibility
Paramita Roy,Subodh Chandra Pal,Rabin Chakrabortty,Indrajit Chowdhuri,Sadhan Malik,Biswajit Das +5 more
TL;DR: In this paper, the authors presented flood susceptible areas in Ajoy River basin using Support Vector Machine (SVM), Random Forest (RF) and Biogeography Based Optimization (BBO) model in GIS environment.