Работы, цитирующие эту работу

Работ: 4

Работа: Mixed Layer Depth Estimation From Multisource Remote Sensing Data Using Clustering-Machine Learning Method

1. 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

2. 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

3. Remote sensing and machine learning-based mapping of climatic stress impacts on vegetation and carbon sequestration

   Kaleem Mehmood, Shoaib Ahmad Anees, Fahad Shahzad +5

   СтатьяRemote Sensing and LiDAR ApplicationsGeocarto International2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.006779

4. Assessing the spatio-temporal variability of phytoplankton in Sundarban coastal waters using Sentinel 3 OLCI imagery based on C2RCC and neural network models

   A. C. DE, Ismail Mondal, SK Ariful Hossain +7

   СтатьяMarine and coastal ecosystemsAdvances in Space Research2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.021160