Работы, цитирующие эту работу

Работ: 4

Работа: ECA-MobileNetV3(Large)+SegNet Model for Binary Sugarcane Classification of Remotely Sensed Images

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. Enhanced groundwater vulnerability assessment in urban landscapes: An adaptive AHP-GIS modified DRASTIC approach for Kolkata metropolitan area

   Kazi Hamidul Islam, Reshmi Das, Ismail Mondal +2

   СтатьяGroundwater and Watershed AnalysisEnvironment Development and Sustainability2025Цитирований: 1

   ABIABI:AkademIndex/openalex/2026.other.344436

3. Remote sensing and GIS techniques for investigating air pollution’s impact on major crop yields

   Lal Mohammad, Jatisankar Bandyopadhyay, Imran Hussain +4

   СтатьяAtmospheric chemistry and aerosolsEnvironment Development and Sustainability2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.001238

4. Urban growth and environmental impact assessment in Malda: A comprehensive study using Shannon's entropy and remote sensing

   Lal Mohammad, Jatisankar Bandyopadhyay, Ismail Mondal +4

   СтатьяUrban Heat Island MitigationPhysics and Chemistry of the Earth Parts A/B/C2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.002117