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5 ta ish

Ish: Climate change-induced vulnerability assessment for the Florida Coast using hybrid machine learning models

  1. Coastal vulnerability assessment for the Sundarbans mangrove ecosystem using InVEST and machine learning-based empirical models

    Anirjita Das, Ismail Mondal, SK Ariful Hossain +5

    MaqolaAgricultural and Environmental ManagementEnvironment Development and Sustainability20254 iqtibos
    ABI

  2. Assessing forest health of sundarbans biosphere reserve: a nature-based climate solutions using machine learning and multicriteria decision analysis

    Ismail Mondal, Jatisankar Bandyopadhyay, SK Ariful Hossain +5

    MaqolaCoastal wetland ecosystem dynamicsEnvironment Development and Sustainability20251 iqtibos
    ABI

  3. Predicting coastal subsidence and sea-level scenarios in the Sundarbans Delta using InSAR and artificial intelligence for sustainable coastal management

    Ismail Mondal, Rupa Ghosh, Jatisankar Bandyopadhyay +3

    MaqolaCoastal wetland ecosystem dynamicsMarine Pollution Bulletin20260 iqtibos
    ABI

  4. 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

    Ismail Mondal, Shabiha Hossain, Muhammad Tauhidur Rahman +2

    MaqolaCoastal wetland ecosystem dynamicsMarine Pollution Bulletin20260 iqtibos
    ABI

  5. Assessing habitat risks of mangrove species in the sundarbans: A cloud-based earth observation and invest HRA approach

    Ismail Mondal, Shabiha Hossain, Papai Roy +7

    MaqolaCoastal wetland ecosystem dynamicsEnvironment Development and Sustainability20260 iqtibos
    ABI