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Estimation of evapotranspiration based on METRIC and TTME models from Landsat data over heterogeneous land surfaces in arid region of China

机译:基于公制和TTME模型的蒸发探测来自地图数据在中国干旱地区异质土地面积

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Estimating surface evapotranspiration (ET) is extremely important for managing water resources in arid region. Though a number of surface energy balance (SEB) models have been proposed for estimating ET from remote sensed data, there is still no clear guidance on which models are suitable for a specific arid region. In this study, a one-source SEB model named Mapping evapotranspiration at high Resolution with Internalized Calibration (MTRIC), and a two-source SEB model named Two-source Trapezoid Model for Evapotranspiration (TTME), were selected to estimate latent heat flux (LE) in a selected sub-region of the middle reaches of the Heihe River Basin, northwest China. Both METRIC and TTME algorithms, which were developed in MATLAB environment, were applied to retrieve LE from Landsat-8 and Landsat-7 data during the crop growth stage from April to September, 2013. The derived LE with METRIC and TTME were evaluated by observed LE from ECS. The experimental results indicate: 1) The spatial distributions of LE from METRIC and TTME models are similar, with the relative deviation values within 7%. It supposes that the two models are suitable for retrieving LE in this study area. 2) LE retrieval precisions of both METRIC and TTME models are affected by land use/cover types. In desert area, though both METRIC and TTME are suitable for retrieving LE, while METRIC obtained slightly higher accurate values than TTME; in farmland/wetland area, TTME achieved obviously higher LE precision than METRIC.
机译:估计表面蒸散(ET)对于管理干旱地区的水资源极为重要。虽然已经提出了许多表面能量平衡(SEB)模型来估计ET从遥感数据,但仍然没有明确的指导,其中模型适用于特定的干旱区域。在该研究中,选择具有以高分辨率映射蒸发的单源SEB模型,具有内化校准(MTRIC),以及命名为蒸散蒸腾(TTME)的双源梯形模型的双源SEB模型,以估计潜热通量( LE)在西北地区黑河流域中游的选定次区域。在Matlab环境中开发的度量标准和TTME算法都应用于从2013年4月到9月到9月的作物生长阶段中的Landsat-8和Landsat-7数据中的le。通过观察到的衍生le评估来自ECS的乐兆。实验结果表明:1)来自度量标准和TTME模型的LE的空间分布类似,具有7%的相对偏差值。它假设这两种模型适用于在本研究区域检索le。 2)公制和TTME模型的LE检索精度受土地使用/覆盖类型的影响。在沙漠地区,虽然度量标准和TTME都适用于检索LE,但是度量标准比TTME获得略高的准确值;在农田/湿地地区,TTME实现明显高的LE精度比公制。

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