Перейти к основному содержанию
AkademIndex

Продукты

Для разработчиков

AkademBaseОткрытый API экосистемы
← Назад к работе

Работы, цитирующие эту работу

Работ: 7

Работа: A proposed method for landslide detection based on transfer learning and graph neural network

  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
    ABI

  2. Advancing real-time coastal data monitoring: Bio-optical property analysis (chlorophyll-a and TSM) in the Northern Bay of Bengal using Sentinel-3 OLCI, IRS Oceansat-3, and artificial neural networks

    Amlan De, A. C. DE, Prasanta Roy +8

    СтатьяMarine and coastal ecosystemsMarine Pollution Bulletin2026Цитирований: 0
    ABI

  3. 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
    ABI

  4. Assessing habitat risks of mangrove species in the sundarbans: A cloud-based earth observation and invest HRA approach

    Ismail Mondal, Shabiha Hossain, Papai Roy +7

    СтатьяCoastal wetland ecosystem dynamicsEnvironment Development and Sustainability2026Цитирований: 0
    ABI

  5. 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
    ABI

  6. Spatio-Temporal Assessment of Land Cover Change and Cropping Pattern Variation Using Cloud-Based Earth Observation Analytics

    Lal Mohammad, Jatisankar Bandyopadhyay, Ismail Mondal +3

    СтатьяRemote Sensing in AgricultureJournal of the Indian Society of Remote Sensing2026Цитирований: 0
    ABI

  7. 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
    ABI