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Joy Sanyal
Joy Sanyal
Asst. Professor, Dept. of Geography, Presidency University, Kolkata
Verified email at presiuniv.ac.in - Homepage
Title
Cited by
Cited by
Year
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
6402004
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
2292005
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
1172014
Ideal location for flood shelter: a geographic information system approach
J Sanyal, XX Lu
Journal of flood risk management 2 (4), 262-271, 2009
432009
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
422013
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
362017
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
232014
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
172017
Examining the downstream geomorphic impact of a large dam under climate change
J Sanyal, JW Lauer, S Kanae
Catena 196, 104850, 2021
122021
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
92019
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
82014
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
72017
Flood Prediction and Mitigation in Data-Sparse Environments
J Sanyal
Durham University, 2013
52013
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
32020
Flood Inundation Modelling in Data-Sparse Flatlands: Challenges and Prospects
J Sanyal
Floods in the Ganga–Brahmaputra–Meghna Delta, 19-35, 2023
12023
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
12012
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
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