| Application of the GIS-based probabilistic models for mapping the flood susceptibility in Bansloi sub-basin of Ganga-Bhagirathi river and their comparison GC Paul, S Saha, TK Hembram Remote Sensing in Earth Systems Sciences 2, 120-146, 2019 | 90 | 2019 |
| Prioritization of sub-watersheds for soil erosion based on morphometric attributes using fuzzy AHP and compound factor in Jainti River basin, Jharkhand, Eastern India TK Hembram, S Saha Environment, Development and Sustainability 22 (2), 1241-1268, 2020 | 86 | 2020 |
| Impact of COVID-19 induced lockdown on environmental quality in four indian megacities using landsat 8 OLI and TIRS-derived data and mamdani fuzzy logic modelling approach S Ghosh, A Das, TK Hembram, S Saha, B Pradhan, AM Alamri Sustainability 12 (13), 5464, 2020 | 75 | 2020 |
| Hybrid ensemble machine learning approaches for landslide susceptibility mapping using different sampling ratios at East Sikkim Himalayan, India S Saha, J Roy, B Pradhan, TK Hembram Advances in Space Research 68 (7), 2819-2840, 2021 | 65 | 2021 |
| Evaluating the performance of individual and novel ensemble of machine learning and statistical models for landslide susceptibility assessment at Rudraprayag District of … S Saha, A Saha, TK Hembram, B Pradhan, AM Alamri Applied Sciences 10 (11), 3772, 2020 | 59 | 2020 |
| Application of phenology-based algorithm and linear regression model for estimating rice cultivated areas and yield using remote sensing data in Bansloi River Basin, Eastern India GC Paul, S Saha, TK Hembram Remote Sensing Applications: Society and Environment 19, 100367, 2020 | 44 | 2020 |
| Spatial prediction of susceptibility to gully erosion in Jainti River basin, Eastern India: a comparison of information value and logistic regression models T Hembram, GC Paul, S Saha Modeling Earth Systems and Environment 5, 689-708, 2019 | 35 | 2019 |
| Comparative analysis between morphometry and geo-environmental factor based soil erosion risk assessment using weight of evidence model: a study on Jainti river basin, eastern … TK Hembram, GC Paul, S Saha Environmental processes 6 (4), 883-913, 2019 | 33 | 2019 |
| Measuring landslide vulnerability status of Chukha, Bhutan using deep learning algorithms S Saha, R Sarkar, J Roy, TK Hembram, S Acharya, G Thapa, D Drukpa Scientific reports 11 (1), 16374, 2021 | 31 | 2021 |
| Modelling of gully erosion risk using new ensemble of conditional probability and index of entropy in Jainti River basin of Chotanagpur Plateau Fringe Area, India TK Hembram, GC Paul, S Saha Applied Geomatics 12 (3), 337-360, 2020 | 26 | 2020 |
| Classification of terrain based on geo-environmental parameters and their relationship with land use/land cover in Bansloi River basin, Eastern India: RS-GIS approach S Saha, GC Paul, TK Hembram Applied Geomatics 12 (1), 55-71, 2020 | 25 | 2020 |
| Robustness analysis of machine learning classifiers in predicting spatial gully erosion susceptibility with altered training samples TK Hembram, S Saha, B Pradhan, KN Abdul Maulud, AM Alamri Geomatics, Natural Hazards and Risk 12 (1), 794-828, 2021 | 23 | 2021 |
| Comparison between deep learning and tree-based machine learning approaches for landslide susceptibility mapping S Saha, J Roy, TK Hembram, B Pradhan, A Dikshit, KN Abdul Maulud, ... Water 13 (19), 2664, 2021 | 21 | 2021 |
| Prediction of spatial landslide susceptibility applying the novel ensembles of CNN, GLM and random forest in the Indian Himalayan region S Saha, A Saha, TK Hembram, K Mandal, R Sarkar, D Bhardwaj Stochastic Environmental Research and Risk Assessment 36 (10), 3597-3616, 2022 | 19 | 2022 |
| Novel ensemble of deep learning neural network and support vector machine for landslide susceptibility mapping in Tehri region, Garhwal Himalaya S Saha, A Saha, TK Hembram, B Kundu, R Sarkar Geocarto International 37 (27), 17018-17043, 2022 | 18 | 2022 |
| Geo-environmental evaluation for exploring potential soil erosion areas of Jainti River basin using AHP model, eastern India. S Saha Universal Journal of Environmental Research & Technology 7 (1), 2018 | 9 | 2018 |
| Integrating deep learning neural network and M5P with conventional statistical models for landslide susceptibility modelling S Saha, A Saha, M Santosh, B Kundu, R Sarkar, TK Hembram Bulletin of Engineering Geology and the Environment 83 (1), 12, 2024 | 1 | 2024 |
Sunil SahaAssistant Professor of Geography, University of Gour BangaVerified email at ugb.ac.in
Sunil SahaAssistant Professor of Geography, University of Gour BangaVerified email at ugb.ac.in