A
Asish Saha
Researcher at University of Burdwan
Publications - 87
Citations - 1659
Asish Saha is an academic researcher from University of Burdwan. The author has contributed to research in topics: Environmental science & Computer science. The author has an hindex of 12, co-authored 40 publications receiving 281 citations.
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Journal ArticleDOI
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.
Journal ArticleDOI
Flood Susceptibility Assessment Using Novel Ensemble of Hyperpipes and Support Vector Regression Algorithms
Asish Saha,Subodh Chandra Pal,Alireza Arabameri,Thomas Blaschke,Somayeh Panahi,Indrajit Chowdhuri,Rabin Chakrabortty,Romulus Costache,Aman Arora +8 more
TL;DR: In this paper, an ensemble approach of hyperpipes (HP) and support vector regression (SVR) machine learning algorithms was used for flood susceptibility mapping in the Koiya River basin, Eastern India.
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Decision Tree based ensemble machine learning approaches for landslide susceptibility mapping
Alireza Arabameri,Subodh Chandra Pal,Fatemeh Rezaie,Rabin Chakrabortty,Asish Saha,Thomas Blaschke,Mariano Di Napoli,Omid Ghorbanzadeh,Phuong Thao Thi Ngo +8 more
TL;DR: The concept of leveraging the predictive capacity of predisposing factors for landslide susceptibility (LS) modeling has been continuously improved in recent work focusing on computational and machining techniques.
Journal ArticleDOI
Changing climate and land use of 21st century influences soil erosion in India
Subodh Chandra Pal,Rabin Chakrabortty,Paramita Roy,Indrajit Chowdhuri,Biswajit Das,Asish Saha,Manisa Shit +6 more
TL;DR: The spatial extent and distribution of soil erosion due to land cover and climate change is the central theme of as discussed by the authors, which provides the first spatial distribution wise soil erosion map at small scale.