@COMMENT This file was generated by bib2html_grace.pl <https://sourceforge.net/projects/bib2html/> version 0.94
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@ARTICLE{2026HydSJ..71.2213H,
       author = {{Hosseinzadeh}, Ahmad and {Zand-Parsa}, Shahrokh},
        title = "{Assessment of actual evapotranspiration product accuracy using NDVI and GRACE-derived water balance in Fars, Iran}",
      journal = {Hydrological Sciences Journal},
     keywords = {water scarcity, remote sensing validation, data-sparse regions, hydrological assessment},
         year = 2026,
        month = aug,
       volume = {71},
       number = {11},
        pages = {2213-2231},
     abstract = "{Although several remote sensing products have been developed to estimate
        actual evapotranspiration (ET$_{a}$) in recent years,
        identifying a suitable product is still challenging due to the
        lack of validation data and the varying performance of ET$_{a}$
        products in different regions. This study evaluated the
        performance of six remote sensing products, namely WaPOR, EEFlux
        (hereafter referred to as METRIC), SSEBop, GLEAM, FLDAS, and
        TerraClimate, in arid and semi-arid regions of Fars Province,
        Iran. These products were evaluated using two indirect methods:
        the integrated normalized difference vegetation index (iNDVI)
        and the water balance estimates derived from the GRACE satellite
        data for the four water years 2018--2019 to 2021--2022. During
        2018--2019 and 2019--2020, METRIC showed the best performance,
        with mean annual ET$_{a}$ values of 370 and 372 mm/year,
        respectively. In 2020--2021 and 2021--2022, WaPOR performed
        best, with annual ET$_{a}$ values of 208 and 207 mm/year,
        respectively.}",
          doi = {10.1080/02626667.2026.2672733},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2026HydSJ..71.2213H},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}