Dr Ismail Mondal

About

I, Dr. Ismail Mondal is a Physical Oceanographer and Guest Faculty, Dept. of Marine Science, Dept. of Environment Science, and Dept. of Geography at the University of Calcutta, Kolkata-700019, India. The nature of the said I am a Remote Sensing and GIS specialist highly motivated, according to my field experience of 10 years in environmental modeling in different applications, i.e., Climate Change in UN Sustainable Gol’s in Sea Level Rise in Marine Physical, Biological and Chemical Modelling (Storm Surge and Coastal Vulnerability), SLAMM, Forest Ecology, Carbon Sequestration (Blue Carbon) of Biomass estimation, Aerosol Dynamic and Air Quality, Agriculture, Soil, Coastal and Estuarine modeling using Remote Sensing and GIS techniques. Moreover, I have an excellent working knowledge of tools like Remote Sensing, Digital Image Processing, Geographical Information Systems, Spatial data analysis, Programming Language, and statistical analysis (Google Earth Engine, Matlab, Python, etc.). I have been involved in my teaching career in various Universities for various curriculum development i.e., Application of geo-informatics and Spatial Database Management, Research methodology, and project management. Physical Oceanography, Environment Science and Climate Change, Marine and Coastal Geomorphology; Fundamentals & physics of Remote Sensing and GIS, Photogrammetry, Surveying, and GPS, Computer fundamentals and programming, Digital image processing & information extraction, Microwave, Hyperspectral Remote Sensing, and Lidar, Application of geo-informatics and Spatial Database Management, Research methodology and project management

Employment

• Editorial Board Member: Discover Earth Observation, Springer Nature Editor
  2026 - Present
• University of Calcutta Faculty and Post Doctoral Fellow
  2021 - Present
• Indian Institute of Engineering Science and Technology Assistant Professor of Geoinformatics
  2020 - 2021
• Jadavpur University Assistant Professor
  2019 - 2020
• University of Calcutta Post Doctoral Fellow (DST NPDF)
  2017 - 2019
• Vidyasagar University Guest Faculty
  2013 - 2017

Education

• University of Calcutta DSC Ongoing
  2025 - 2027
• Vidyasagar University PhD
  2012 - 2017
• Vidyasagar University MSC
  2009 - 2011

Projects & Funding

Projects & funding information is unavailable.

Publications (77)

• Trait-to-landscape mapping of mangrove leaf organic carbon: a field-calibrated, species-resolved framework integrating Earth observation and machine learning in the western Sundarbans
  Physics and Chemistry of the Earth, Parts A/B/C 2026 DOI: 10.1016/j.pce.2026.104762
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• AI-driven ocean-colour prediction of potential fishing zones for blue-economy resource sustainability in the northern Bay of Bengal
  Physics and Chemistry of the Earth, Parts A/B/C 2026 DOI: 10.1016/j.pce.2026.104655
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• Predicting coastal subsidence and sea-level scenarios in the Sundarbans Delta using InSAR and artificial intelligence for sustainable coastal management
  Marine Pollution Bulletin 2026 DOI: 10.1016/j.marpolbul.2026.119386
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• Predicting blue carbon sequestration in Sundarban coastal mangroves: A spatially explicit approach with INVEST and machine learning to advance climate resilience and UN SDG-aligned nature-based climate solutions
  Marine Pollution Bulletin 2026 DOI: 10.1016/j.marpolbul.2026.119387
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• Corrigendum to “Predicting blue carbon sequestration in Sundarban coastal mangroves: A spatially explicit approach with INVEST and machine learning to advance climate resilience and UN SDG-aligned nature-based climate solutions”(Marine Pollution Bulletin…
  Marine Pollution Bulletin 2026 DOI: 10.1016/j.marpolbul.2026.119490
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• Assessing thermal power effluent-induced air quality and associated environmental stress on Blumea lacera and Phyla nodiflora using chemometric, remote sensing and machine learning approach
  Geology Ecology and Landscapes 2026 DOI: 10.1080/24749508.2024.2430042
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• Advancing real-time coastal data monitoring: Bio-optical property analysis (chlorophyll-a and TSM) in the Northern Bay of Bengal using Sentinel-3 OLCI, IRS Oceansat-3, and artificial neural networks
  Marine Pollution Bulletin 2026 DOI: 10.1016/j.marpolbul.2025.119199
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• AI-driven prediction of soil trace metal contamination and ecological health in the Sundarbans mangrove ecosystem: Implications for nature-based solutions and the UN SDGs
  Marine Pollution Bulletin 2026 DOI: 10.1016/j.marpolbul.2026.119849
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• Role of MODIS and Sentinel-5P in monitoring air pollution and its impact on vegetation health
  Advances in Space Research 2026 DOI: 10.1016/j.asr.2025.10.002
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• Exploring ML‐Driven Insights on the Impact of Rising Soil Salinity on Sundarbans Mangrove Ecosystems and Ecological Sustainability Through Nature‐Based Solutions
  Land Degradation & Development 2026 DOI: 10.1002/ldr.70105
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