Работы, цитирующие эту работу

Работ: 5

Работа: Super-Resolution Reconstruction of SMOS Sea Surface Salinity from Multivariate Satellite Observations Based on Deep Learning

1. Remote sensing analysis of forest fire impacts on ecosystem productivity, greenhouse gas emissions, and fire risk in Pakistan

   Fahad Shahzad, Kaleem Mehmood, Shoaib Ahmad Anees +5

   СтатьяFire effects on ecosystemsCarbon Balance and Management2026Цитирований: 1

   ABIABI:AkademIndex/openalex/2026.article.000033

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

   СтатьяCoastal wetland ecosystem dynamicsMarine Pollution Bulletin2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.000116

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. Estimation of lithium adsorption in brine via robust machine learning algorithms

   Farag M. A. Altalbawy, Ahmad Almalkawi, Anupam Yadav +7

   СтатьяExtraction and Separation ProcessesChemical Papers2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.007619

5. 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