@COMMENT This file was generated by bib2html_grace.pl <https://sourceforge.net/projects/bib2html/> version 0.94
@COMMENT written by Patrick Riley <https://sourceforge.net/users/patstg/>
@COMMENT This file was prepared using the NASA Astrophysics Data System (ADS)
@COMMENT https://ui.adsabs.harvard.edu/
@ARTICLE{2026JARS...20a1205K,
       author = {{Kumari}, Neha and {Mustafi}, Abhijit and {Anwar}, Shamama},
        title = "{SAINT-REG: a deep learning framework for enhancing GRACE data resolution to predict groundwater storage variation with low-volume constraint data}",
      journal = {Journal of Applied Remote Sensing},
     keywords = {liquid water equivalent, Gravity Recovery and Climate Experiment, Self-Attention Inspired Network Transformer for Resolution-Enhanced GRACE Prediction, Global Land Data Assimilation System, mean absolute error},
         year = 2026,
        month = jan,
       volume = {20},
          eid = {011205},
        pages = {011205},
          doi = {10.1117/1.JRS.20.011205},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2026JARS...20a1205K},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}