Application of remote sensing in flood management with special reference to monsoon Asia: a review J Sanyal, XX Lu Natural Hazards 33, 283-301, 2004 | 637 | 2004 |
Remote sensing and GIS‐based flood vulnerability assessment of human settlements: a case study of Gangetic West Bengal, India J Sanyal, XX Lu Hydrological Processes: An International Journal 19 (18), 3699-3716, 2005 | 228 | 2005 |
GIS‐based flood hazard mapping at different administrative scales: A case study in Gangetic West Bengal, India J Sanyal, XX Lu Singapore Journal of Tropical Geography 27 (2), 207-220, 2006 | 183* | 2006 |
Analysing the effect of land-use/cover changes at sub-catchment levels on downstream flood peaks: A semi-distributed modelling approach with sparse data J Sanyal, AL Densmore, P Carbonneau Catena 118, 28-40, 2014 | 117 | 2014 |
Hydraulic routing of extreme floods in a large ungauged river and the estimation of associated uncertainties: a case study of the Damodar River, India J Sanyal, P Carbonneau, AL Densmore Natural hazards 66, 1153-1177, 2013 | 42 | 2013 |
Ideal location for flood shelter: a geographic information system approach J Sanyal, XX Lu Journal of flood risk management 2 (4), 262-271, 2009 | 42 | 2009 |
Predicting possible effects of dams on downstream river bed changes of a Himalayan river with morphodynamic modelling J Sanyal Quaternary International 453, 48-62, 2017 | 36 | 2017 |
Low-cost inundation modelling at the reach scale with sparse data in the Lower Damodar River basin, India J Sanyal, P Carbonneau, AL Densmore Hydrological Sciences Journal 59 (12), 2086-2102, 2014 | 23 | 2014 |
Uncertainty in levee heights and its effect on the spatial pattern of flood hazard in a floodplain J Sanyal Hydrological sciences journal 62 (9), 1483-1498, 2017 | 17 | 2017 |
Examining the downstream geomorphic impact of a large dam under climate change J Sanyal, JW Lauer, S Kanae Catena 196, 104850, 2021 | 11 | 2021 |
Impact of different types of meteorological data inputs on predicted hydrological and erosive responses to projected land use changes S Bhattacharyya, J Sanyal Journal of Earth System Science 128 (3), 60, 2019 | 9 | 2019 |
2D finite element inundation modelling in anabranching channels with sparse data: examination of uncertainties J Sanyal, AL Densmore, P Carbonneau Water resources management 28, 2351-2366, 2014 | 8 | 2014 |
Tracking the relationship between changing skyline and population growth of an Indian megacity using earth observation technology J Sanyal, K Roychowdhury Geocarto international 32 (12), 1421-1435, 2017 | 7 | 2017 |
Flood Prediction and Mitigation in Data-Sparse Environments J Sanyal Durham University, 2013 | 5 | 2013 |
Predicting dam‐related downstream geomorphic response with widely available stream gauge data: A case study of the Godavari River Basin, India J Sanyal, P Dasgupta, S Kanae Singapore Journal of Tropical Geography 41 (2), 284-298, 2020 | 2 | 2020 |
Flood Inundation Modelling in Data-Sparse Flatlands: Challenges and Prospects J Sanyal Floods in the Ganga–Brahmaputra–Meghna Delta, 19-35, 2023 | 1 | 2023 |
Low-cost, open access flood inundation modelling with sparse data: A case study of the Lower Damodar River Basin, India J Sanyal, P Carbonneau EGU General Assembly Conference Abstracts, 436, 2012 | 1 | 2012 |
Assessing the Influence of Upstream Basin and Climatic Characteristics on Post-Dam Downstream Streamflow Changes: Empirical Insights from Peninsular India J Sanyal Water Resources 50 (6), 842-856, 2023 | | 2023 |
Reassessment of Reservoir Sedimentation Rates under a Monsoon Climate with Combined Optical and Microwave Remote Sensing: A Case Study of Three Reservoirs in the Upper Godavari … J Sanyal, A Chowdhury Journal of Hydrologic Engineering 28 (11), 05023022, 2023 | | 2023 |
REFEREES FOR JULY 2018–JUNE 2019 V Antoneli, A Aritenang, I Baird, AB Baki, M Barbesgaard, F Bart, ... Singapore Journal of Tropical Geography 40, 345, 2019 | | 2019 |