Fei Huang

Fei Huang


Research Focus & Metrics

Academic Career Length

1Year (2026-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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5 October 2026 in Agronomy
Verified
Journal Article
Open access
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LZLiudong Zhang
Liudong Zhang
HLHairui Li
Hairui Li
BLBojia Li
Bojia Li
FHFei Huang
Fei Huang
XHXi Huang
Xi Huang
Long-term evapotranspiration (ET) information is important for water-resource assessment in basins associated with large-scale water-transfer projects. This study characterized ET variability and ET–environment associations across grassland, cropland, and forestland in the Longchuan River Basin using multisource remote-sensing data from May to September during 2001–2020. Temporal ET variability was assessed using all MOD16 8-day composites overlapping this period, while 13 environmental variables were evaluated using pixel-wise Pearson correlations and land-use-specific ET estimation models were developed using selected predictors. Mean daily ET generally increased from May to August and declined in September. The long-term May–September mean daily ET was highest in forestland (3.12 mm d−1), followed by the basin average (2.24 mm d−1), cropland (1.87 mm d−1), and grassland (1.33 mm d−1). Gross primary productivity (GPP) was the predominant correlate across all three land-use types and remained predominant after removal of the monthly climatological cycle and further detrending. Validation R2, RMSE, and NRMSE were 0.84, 0.23 mm d−1, and 17.49% for grassland; 0.84, 0.32 mm d−1, and 16.94% for cropland; and 0.78, 0.41 mm d−1 and 13.22% for forestland, respectively. These findings provide a long-term baseline for land-use-specific ET assessment and water-resource management.