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Ismail Mondal
Researcher at University of Calcutta
Publications - 42
Citations - 638
Ismail Mondal is an academic researcher from University of Calcutta. The author has contributed to research in topics: Environmental science & Shore. The author has an hindex of 9, co-authored 32 publications receiving 241 citations. Previous affiliations of Ismail Mondal include Indian Institute of Engineering Science and Technology, Shibpur & Vidyasagar University.
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Comparative analysis of statistical methods for landslide susceptibility mapping in the Bostanlik District, Uzbekistan.
TL;DR: The spatial relationships between the landslides and the predictor layers confirmed the results of previous studies conducted in other areas, whereas model performance was slightly higher than in some earlier studies - possibly a benefit of the polygon-based landslide inventory.
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Assessment of changes in land use, land cover, and land surface temperature in the mangrove forest of Sundarbans, northeast coast of India
Sandeep Thakur,Debapriya Maity,Ismail Mondal,Ismail Mondal,Ganesh Basumatary,Phani Bhushan Ghosh,Papita Das,Tarun Kumar De +7 more
TL;DR: In this paper, the impacts of changing land use on the land surface temperature (LST) and normalized differential vegetation index (NDVI) distribution in the Indian part of the Sundarbans Biosphere Reserve by utilizing remote sensing and geographical information system were investigated.
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Shoreline changes and its impact on the mangrove ecosystems of some islands of Indian Sundarbans, North-East coast of India
Sandeep Thakur,Ismail Mondal,Somnath Bar,Subhanil Nandi,Phani Bhusan Ghosh,Papita Das,Tarun Kumar De +6 more
TL;DR: In this article, the authors have analyzed the shoreline oscillations of three estuarine islands in Sundarban delta and its impact on mangrove forests around the Islands.
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Assessing the oscillation of channel geometry and meander migration cardinality of Bhagirathi River, West Bengal, India
TL;DR: In this article, the authors have looked into its migration tendency and unpredictability for past 238 years and then predicted the lateral shifting of river centerline using temporal satellite imageries.
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A review of the application of multispectral remote sensing in the study of mangrove ecosystems with special emphasis on image processing techniques
TL;DR: This work reviews previous works on mangrove forests using remote sensing techniques with an aim to identify the best combinations of sensors, methods of image processing and vegetation indices for future studies and observed that higher accuracies were directly related to sensor resolution and expertise of the authors.