S
Sugata Hazra
Researcher at Jadavpur University
Publications - 149
Citations - 2537
Sugata Hazra is an academic researcher from Jadavpur University. The author has contributed to research in topics: Mangrove & Population. The author has an hindex of 23, co-authored 135 publications receiving 1697 citations. Previous affiliations of Sugata Hazra include University of California, Los Angeles.
Papers
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Journal Article
Sea level and associated changes in the sundarbans
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Application of Cellular automata and Markov-chain model in geospatial environmental modeling- A review
Pramit Ghosh,Anirban Mukhopadhyay,Abhra Chanda,Parimal Mondal,Anirban Akhand,Sandip Mukherjee,S.K. Nayak,Subhajit Ghosh,D. Mitra,Tuhin Ghosh,Sugata Hazra +10 more
TL;DR: The concepts of CA-Markov modeling and their backgrounds are discussed and is followed by a classification of the researches conducted in this domain into two broad groups, one being the development of concepts and the adopted methodologies, while the other discusses the application of these methods in solving and studying real world scenarios.
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Projected changes in area of the Sundarban mangrove forest in Bangladesh due to SLR by 2100
Andres Payo,Anirban Mukhopadhyay,Sugata Hazra,Tuhin Ghosh,Subhajit Ghosh,Sally Brown,Robert J. Nicholls,Lucy Bricheno,Judith Wolf,Susan Kay,Attila N. Lázár,Anisul Haque +11 more
TL;DR: This work illustrates how the Sea Level Affecting Marshes Model (SLAMM) is able to reproduce the observed area losses for the period 2000–2010 and suggests that erosion rather than inundation may remain the dominant loss driver to 2100 under certain scenarios of sea-level rise and net subsidence.
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Automatic shoreline detection and future prediction: A case study on Puri Coast, Bay of Bengal, India
Anirban Mukhopadhyay,Sandip Mukherjee,Samadrita Mukherjee,Subhajit Ghosh,Sugata Hazra,D. Mitra +5 more
TL;DR: In this paper, the authors conducted a study on the 142 km-long coastline of Puri district, India, where they used geoinformatics within the prediction models of the models.
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An index for discrimination of mangroves from non-mangroves using LANDSAT 8 OLI imagery.
Kaushik Gupta,Anirban Mukhopadhyay,Sandip Giri,Abhra Chanda,Sayani Majumdar,Sourav Samanta,D. Mitra,R. N. Samal,Ajit K. Pattnaik,Sugata Hazra +9 more
TL;DR: In this paper, the authors have attempted to develop an improved index, which utilizes the information from the Normalized Difference Vegetation Index (NDVI) and the normalized Difference Water Index(NDWI) of Bhitarkanika mangrove forest of Odisha, India.