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    Article

    Modeling flood susceptibility zones using hybrid machine learning models of an agricultural dominant landscape of India

    Flooding events are determining a significant amount of damages, in terms of economic loss and also casualties in Asia and Pacific areas. Due to complexity and ferocity of severe flooding, predicting flood-pro...

    Satish Kumar Saini, Susanta Mahato in Environmental Science and Pollution Resear… (2023)

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    Integration of satellite image–derived temperature and water depth for assessing fish habitability in dam controlled flood plain wetland

    The present study attempted to investigate the changes in temperature conducive to fish habitability during the summer months in a hydrologically modified wetland following damming over a river. Satellite imag...

    Sonali Kundu, Swades Pal, Swapan Talukdar in Environmental Science and Pollution Resear… (2022)

  3. Article

    Correction to: Machine learning algorithm-based risk assessment of riparian wetlands in Padma River basin of Northwest Bangladesh

    A Correction to this paper has been published: https://doi.org/10.1007/s11356-021-13480-x

    Abu Reza Md. Towfiqul Islam, Swapan Talukdar in Environmental Science and Pollution Resear… (2021)

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    Article

    Machine learning algorithm-based risk assessment of riparian wetlands in Padma River Basin of Northwest Bangladesh

    Wetland risk assessment is a global concern especially in develo** countries like Bangladesh. The present study explored the spatiotemporal dynamics of wetlands, prediction of wetland risk assessment. The we...

    Abu Reza Md. Towfiqul Islam, Swapan Talukdar in Environmental Science and Pollution Resear… (2021)