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Multi-Scale Evaluation of the TSEB Model over a Complex Agricultural Landscape in Morocco
Remote Sensing ( IF 5 ) Pub Date : 2020-04-07 , DOI: 10.3390/rs12071181
Jamal Elfarkh , Jamal Ezzahar , Salah Er-Raki , Vincent Simonneaux , Bouchra Ait Hssaine , Said Rachidi , Aurore Brut , Vincent Rivalland , Said Khabba , Abdelghani Chehbouni , Lionel Jarlan

An accurate assessment of evapotranspiration (ET) is crucially needed at the basin scale for studying the hydrological processes and water balance especially from upstream to downstream. In the mountains, this term is poorly understood because of various challenges, including the vegetation complexity, plant diversity, lack of available data and because the in situ direct measurement of ET is difficult in complex terrain. The main objective of this work was to investigate the potential of a Two-Source-Energy-Balance model (TSEB) driven by the Landsat and MODIS data for estimating ET over a complex mountain region. The complexity is associated with the type of the vegetation canopy as well as the changes in topography. For validating purposes, a large-aperture scintillometer (LAS) was set up over a heterogeneous transect of about 1.4 km to measure sensible (H) and latent heat (LE) fluxes. Additionally, two towers of eddy covariance (EC) systems were installed along the LAS transect. First, the model was tested at the local scale against the EC measurements using multi-scale remote sensing (MODIS and Landsat) inputs at the satellite overpasses. The obtained averaged values of the root mean square error (RMSE) and correlation coefficient (R) were about 72.4 Wm−2 and 0.79 and 82.0 Wm−2 and 0.52 for Landsat and MODIS data, respectively. Secondly, the potential of the TSEB model for evaluating the latent heat fluxes at large scale was investigated by aggregating the derived parameters from both satellites based on the LAS footprint. As for the local scale, the comparison of the latent heat fluxes simulated by TSEB driven by Landsat data performed well against those measured by the LAS (R = 0.69, RMSE = 68.0 Wm−2), while slightly more scattering was observed when MODIS products were used (R = 0.38, RMSE = 99.8 Wm−2). Based on the obtained results, it can be concluded that (1) the TSEB model can be fairly used to estimate the evapotranspiration over the mountain regions; and (2) medium- to high-resolution inputs are a better option than coarse-resolution products for describing this kind of complex terrain.

中文翻译:

摩洛哥复杂农业景观下TSEB模型的多尺度评估

为了研究水文过程和水平衡,特别是从上游到下游,在流域尺度上,迫切需要准确的蒸散量评估。在山区,由于各种挑战,包括植被的复杂性,植物多样性,缺乏可用数据,以及在复杂的地形中难以直接进行ET的现场测量,因此对该术语的理解不多。这项工作的主要目的是研究由Landsat和MODIS数据驱动的两源能量平衡模型(TSEB)在估计复杂山区的ET方面的潜力。复杂性与植被冠层的类型以及地形的变化有关。为了进行验证,在约1的异质样断面上建立了大孔径闪烁仪(LAS)。4公里以测量显热(H)和潜热(LE)通量。此外,沿LAS横断面安装了两个涡动协方差(EC)系统塔。首先,使用卫星立交桥上的多尺度遥感(MODIS和Landsat)输入在本地尺度上针对EC测量对模型进行了测试。对于Landsat和MODIS数据,获得的均方根误差(RMSE)和相关系数(R)的平均值分别约为72.4 Wm-2和0.79和82.0 Wm-2和0.52。其次,通过汇总基于LAS足迹的两颗卫星的推导参数,研究了TSEB模型在大规模评估潜热通量方面的潜力。至于地方规模 用Landsat数据驱动的TSEB模拟的潜热通量与LAS测得的潜热通量比较好(R = 0.69,RMSE = 68.0 Wm-2),而使用MODIS产品时观察到的散射略多(R = 0.38 ,RMSE = 99.8 Wm-2)。根据获得的结果,可以得出以下结论:(1)TSEB模型可以合理地用于估计山区的蒸散量;(2)在描述这种复杂地形方面,中分辨率至高分辨率输入比粗分辨率产品更好。
更新日期:2020-04-07
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