• Sorted by Date • Sorted by Last Name of First Author •
Hosseinzadeh, Ahmad and Zand–Parsa, Shahrokh, 2026. Assessment of actual evapotranspiration product accuracy using NDVI and GRACE–derived water balance in Fars, Iran. Hydrological Sciences Journal, 71(11):2213–2231, doi:10.1080/02626667.2026.2672733.
• from the NASA Astrophysics Data System • by the DOI System •
@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}
}
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