Работы, цитирующие эту работу

Работ: 5

Работа: 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

   СтатьяAgricultural and Environmental ManagementEnvironment Development and Sustainability2025Цитирований: 4

   ABIABI:AkademIndex/openalex/2025.article.000216

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

   СтатьяCoastal wetland ecosystem dynamicsEnvironment Development and Sustainability2025Цитирований: 1

   ABIABI:AkademIndex/openalex/2025.article.002635

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

   СтатьяCoastal wetland ecosystem dynamicsMarine Pollution Bulletin2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.000116

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

   СтатьяCoastal wetland ecosystem dynamicsMarine Pollution Bulletin2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.000283

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

   СтатьяCoastal wetland ecosystem dynamicsEnvironment Development and Sustainability2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.004940