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Application of Machine Learning and Remote Sensing in Hydrology

Author

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  • Babak Mohammadi

    (Department of Physical Geography and Ecosystem Science, Lund University, Sölvegatan 12, SE-223 62 Lund, Sweden)

Abstract

Water is vital to all life on earth, but its management is becoming more difficult owing to the behavior of water in nature such as water dynamics, water movements, and different forms of water in nature [...]

Suggested Citation

  • Babak Mohammadi, 2022. "Application of Machine Learning and Remote Sensing in Hydrology," Sustainability, MDPI, vol. 14(13), pages 1-2, June.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:13:p:7586-:d:844684
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    References listed on IDEAS

    as
    1. Abu Reza Md. Towfiqul Islam & Swapan Talukdar & Shumona Akhter & Kutub Uddin Eibek & Md. Mostafizur Rahman & Swades Pal & Mohd Waseem Naikoo & Atiqur Rahman & Amir Mosavi, 2022. "Assessing the Impact of the Farakka Barrage on Hydrological Alteration in the Padma River with Future Insight," Sustainability, MDPI, vol. 14(9), pages 1-26, April.
    2. José Luis Uc Castillo & José Alfredo Ramos Leal & Diego Armando Martínez Cruz & Adrián Cervantes Martínez & Ana Elizabeth Marín Celestino, 2021. "Identification of the Dominant Factors in Groundwater Recharge Process, Using Multivariate Statistical Approaches in a Semi-Arid Region," Sustainability, MDPI, vol. 13(20), pages 1-21, October.
    3. Seoro Lee & Jonggun Kim & Gwanjae Lee & Jiyeong Hong & Joo Hyun Bae & Kyoung Jae Lim, 2021. "Prediction of Aquatic Ecosystem Health Indices through Machine Learning Models Using the WGAN-Based Data Augmentation Method," Sustainability, MDPI, vol. 13(18), pages 1-20, September.
    4. Zhihui Yang & Jun Zhao & Jialiang Liu & Yuanyuan Wen & Yanqiang Wang, 2021. "Soil Moisture Retrieval Using Microwave Remote Sensing Data and a Deep Belief Network in the Naqu Region of the Tibetan Plateau," Sustainability, MDPI, vol. 13(22), pages 1-19, November.
    5. W. Y. Wang & J. T. Kang & Kai Li & Y. H. Fan & P. Lin, 2022. "A Novel Intelligent Inversion Method of Hydrogeological Parameters Based on the Disturbance-Inspired Equilibrium Optimizer," Sustainability, MDPI, vol. 14(6), pages 1-19, March.
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    Cited by:

    1. Rong Fu & Luze Xie & Tao Liu & Binbin Zheng & Yibo Zhang & Shuai Hu, 2023. "A Soil Moisture Prediction Model, Based on Depth and Water Balance Equation: A Case Study of the Xilingol League Grassland," IJERPH, MDPI, vol. 20(2), pages 1-18, January.

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