首页> 外文会议>SPIE Conference on Remote Sensing for Agriculture, Ecosystems, and Hydrology >Monitoring evapotranspiration at landscape scale in Mexico: applying the energy balance model using remotely-sensed data.
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Monitoring evapotranspiration at landscape scale in Mexico: applying the energy balance model using remotely-sensed data.

机译:监测墨西哥横向规模的蒸散量:使用远程感测数据应用能量平衡模型。

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Thermal and spectral remotely sensed data make the monitoring from flux energy variables in the land atmosphere interface possible. Therefore, remotely sensed data can be used as an alternative to estimate actual evapotranspiration (ET) by applying the energy balance equation. In order to test the applicability of this approach in Mexico, MODIS (Moderate Resolution Imaging Spectroradiometer) estimations from land surface variables are used at 16-day intervals of composite data. Ancillary information is collected from 2000 ground stations. The methodology includes the Simplified Surface Energy Balance model (SSEB) and its intercomparison with a combined model from the Surface Energy Balance Algorithm (SEBAL) and the Two Source Energy Balance (TSEB) procedures. Preliminary results applied to one 16-day interval during winter, 2002, showed that ET is spatially structured at a landscape level. The most significant discrepancies between estimations are found due to the general assumptions applied to each model. Secondly, the use of interpolated ancilliary data from local observations, along with remote sensing data, provides a better representation of spatial variations of ET with SEBAL-TSEB model for the study period. There is not enough evidence to asses objectively the performance of both applied procedures. Further testing is required to evaluate at a local scale the reliability from estimations.
机译:热敏和光谱传感数据使得在可能的土地大气界面中的磁通能变量进行监测。因此,通过应用能量平衡方程,远程感测数据可以用作估计实际蒸发(ET)的替代方案。为了测试这种方法在墨西哥的适用性,陆地变量的MODIS(适度分辨率成像光谱仪)以16天的复合数据的间隔使用。从2000个地站收集了辅助信息。该方法包括简化的表面能量平衡模型(SSEB)及其与来自表面能平衡算法(SEBAL)和两个源能量平衡(TSEB)程序的组合模型的相互作用。 2002年冬季应用于一个16天间隔的初步结果表明ET在景观水平上进行空间结构。由于应用于每个模型的一般假设,发现了估计之间最显着的差异。其次,使用来自局部观测的内插辅助数据以及遥感数据,为研究时期的Sebal-TSEB模型提供了更好的等空间变化。没有足够的证据可以客观地判断应用程序的表现。需要进一步的测试来评估估计的可靠性。

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