Publications related to the GRACE Missions (no abstracts)

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Land Use and Water Storage Dynamics in the Krishna River Basin: Insights from Satellite Observations and Machine Learning

Sridhar, Venkataramana, Kumar, Kuruva Satish, Zobel, Christopher, Tyagi, Aditya, Keesara, Venkata Reddy, and Padmanabhan, Myoor, 2025. Land Use and Water Storage Dynamics in the Krishna River Basin: Insights from Satellite Observations and Machine Learning. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, 1052:657–663, doi:10.5194/isprs-annals-X-5-W2-2025-657-2025.

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BibTeX

@ARTICLE{2025ISPAn1052..657S,
       author = {{Sridhar}, Venkataramana and {Kumar}, Kuruva Satish and {Zobel}, Christopher and {Tyagi}, Aditya and {Keesara}, Venkata Reddy and {Padmanabhan}, Myoor},
        title = "{Land Use and Water Storage Dynamics in the Krishna River Basin: Insights from Satellite Observations and Machine Learning}",
      journal = {ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences},
         year = 2025,
        month = dec,
       volume = {1052},
        pages = {657-663},
     abstract = "{Water scarcity and recurrent droughts threaten agricultural productivity
        and water security in the semi-arid Krishna River Basin of
        southern India. This study integrates satellite observations and
        machine learning techniques to assess long-term terrestrial
        water storage (TWS) and drought dynamics from 1992 to 2022. The
        Extreme Gradient Boosting (XGBoost) algorithm was employed to
        reconstruct GRACE-based Terrestrial Water Storage Anomalies
        (TWSA) using precipitation, temperature, evapotranspiration, and
        soil moisture as predictors. The reconstructed TWSA showed
        strong consistency with GRACE/GRACE-FO data (R2 = 0.92, RMSE =
        43.18 mm), extending the GRACE record to earlier decades. The
        GRACE Drought Severity Index (GRACE-DSI), applied at a 3-month
        scale, identified 15 major drought events during 1992─2022, with
        the most severe occurring in 2015─2017 (minimum DSI =
        {\ensuremath{-}}2.0) and 2018─2019 (minimum DSI =
        {\ensuremath{-}}2.63). Droughts typically recurred every 5─7
        years, showing increased intensity after 2010. Land use and land
        cover (LULC) analysis from ESA-CCI data revealed declining
        agricultural areas and shrublands, alongside expansion of
        forests and urban land. Correlation between LULC changes and
        TWSA was weak, indicating stronger climatic control on basin
        water storage. The study underscores the value of fusing remote
        sensing, statistical tools, and hydrological indices to support
        better monitoring and governance of land and water systems in
        drought-prone basins.}",
          doi = {10.5194/isprs-annals-X-5-W2-2025-657-2025},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2025ISPAn1052..657S},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

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