Skip to main content
AkademIndex

Products

For developers

AkademBaseOpen API for the ecosystem
← Back to work

Works citing this work

4 works

Work: 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

    ArticleCoastal wetland ecosystem dynamicsEnvironment Development and Sustainability20251 citations
    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

    ArticleCoastal wetland ecosystem dynamicsMarine Pollution Bulletin20260 citations
    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

    ArticleCoastal wetland ecosystem dynamicsMarine Pollution Bulletin20260 citations
    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

    ArticleCoastal wetland ecosystem dynamicsEnvironment Development and Sustainability20260 citations
    ABI