Работы, цитирующие эту работу

Работ: 5

Работа: Coastal Wetland Modeling Using Geoinformatics Technology of Namkhana Island, South 24 Parganas, W.B, India

1. Habitat quality and degradation change analysis for the Sundarbans mangrove forest using invest habitat quality model and machine learning

   Ismail Mondal, Pijush Kanti Naskar, Saleh Alsulamy +8

   СтатьяCoastal wetland ecosystem dynamicsEnvironment Development and Sustainability2024Цитирований: 7

   ABIABI:AkademIndex/openalex/2024.article.000118

2. 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

3. Mitigating coastal flood risks in the Sundarbans: A combined InVEST and machine learning approach

   Ismail Mondal, Vahnishikha Mishra, SK Ariful Hossain +3

   СтатьяFlood Risk Assessment and ManagementPhysics and Chemistry of the Earth Parts A/B/C2025Цитирований: 6

   ABIABI:AkademIndex/openalex/2025.article.000075

4. Evaluating the effects of rapid urbanization on the encroachment of the east Kolkata Wetland ecosystem: a remote sensing and hybrid machine learning approach

   Ismail Mondal, Jatisankar Bandyopadhyay, SK Ariful Hossain +5

   СтатьяLand Use and Ecosystem ServicesEnvironment Development and Sustainability2024Цитирований: 5

   ABIABI:AkademIndex/openalex/2024.article.000272

5. 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