Работы, цитирующие эту работу

Работ: 5

Работа: Coastal vulnerability assessment of India's Purba Medinipur-Balasore coastal stretch: A comparative study using empirical models

1. Potential effects of projected global sea level rise on Sundarbans mangrove wetland ecosystem: insights from SLAMM and hybrid machine learning models

   Ismail Mondal, SK Ariful Hossain, Jatisankar Bandyopadhyay +5

   СтатьяCoastal wetland ecosystem dynamicsEnvironment Development and Sustainability2025Цитирований: 7

   ABIABI:AkademIndex/openalex/2025.article.000089

2. 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

3. 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

4. Freshwater aquaculture in the Indian Sundarbans: expansion, challenges, and climate change adaptation

   Avirup Ranjan Bar, Rahi Soren, Ismail Mondal +3

   СтатьяAgricultural Systems and PracticesEnvironmental Monitoring and Assessment2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.008818

5. 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