Estimation and validation of high-resolution evapotranspiration products for an arid river basin using multi-source remote sensing data

作者：Jing Xiao, Fubao Sun, Tingting Wang, Hong Wang · 发表于：Agricultural Water Management · 年份：2024 · DOI：10.1016/j.agwat.2024.108864 · 被引用次数：30 · 研究领域：Plant Water Relations and Carbon Dynamics、Climate variability and models、Hydrology and Drought Analysis

Accurate estimation of evapotranspiration (ET) at high spatial resolution is crucial for drought monitoring and water resources management, but currently available remote sensing ET products generally have coarse spatial resolution (≥1000 m). To estimate ET at a high spatial resolution, Landsat images, Global Land Surface Satellite (GLASS), Moderate Resolution Imaging Spectroradiometer (MODIS), and meteorological forcing data were integrated, and the surface energy balance (SEBS) model was employed to calculate the 16-day average ET at 30 m resolution for China’s Tarim River Basin, spanning from 2009 to 2018. The results indicated that the average 16-day ET estimates correlated well with ground observations for land and water surfaces (root mean square error (RMSE) for land = 0.92 mm day−1, RMSE for water = 1.63 mm day−1, mean bias for land = 0.3 mm day−1, mean bias for water = 0.52 mm day−1). Cross validation with GLASS, ETMonitor, and Penman-Monteith-Leuning (PML_V2) ET datasets revealed an overall increasing trend for all four products (PML_V2 = 6.277 mm year−1, GLASS = 2.185 mm year−1, ETMonitor = 3.258 mm year−1, SEBS = 1.441 mm year−1), demonstrating good spatial consistency. The consistent increasing pixels were primarily distributed in the northern, southwestern, and southeastern mountainous regions, accounting for 22.8%, while 0.29% of the consistent decreasing pixels were mainly concentrated in the central desert and mountain-front oasis areas. Inconsistent pixels a...