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6 ta ish

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

  1. 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

  2. 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

  3. 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

  4. 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

  5. Spatiotemporal Evolution Characteristics and Ecological Restoration Effectiveness Assessment of Mangroves Based on Multi-Source Remote Sensing Data: A Case Study of Mangroves in Guangdong Province from 2000 to 2024

    Uzair Aslam Bhatti, Muhammad Asif, Bekzod Madaminov +4

    Maqola20260 iqtibos
    ABI

  6. 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

    Ismail Mondal, S.K. Ariful Hossain, Anirjita Das +3

    Maqola20260 iqtibos
    ABI