首页> 外文会议>2010 3rd International Conference on Biomedical Engineering and Informatics >Evaluation of topography effect on Evaporative Fraction from MODIS data in Taihu Basin, China
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Evaluation of topography effect on Evaporative Fraction from MODIS data in Taihu Basin, China

机译:利用MODIS资料评价太湖流域地形对蒸发率的影响。

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Evaporative Fraction (EF), defined as the ratio of ET and available energy, can be estimated directly from remote sensing. Though many studies have successfully estimated EF using a contextual interpretation of radiometric surface temperature (Ts) and normalized difference vegetation index (NDVI) based on remote sensing datasets. However, little research focused on influence of topography on triangle method application in complex topographic areas. In this study, we estimate EF by triangle method with topographic correction from MODIS datasets over Taihu Basin, China, and evaluate the effects of topography on EF estimation. Our results indicate that topographic correction improves to determine quantitatively the dry and wet edges of Ts-NDVI triangle space. The value of EF was overestimated before topographic correction over mountain area. After correction, the values of EF vary in different elevation and aspect of terrain. The EF ranges from 0.2 to 0.8 with a mean of 0.5, which become more reasonable than before correction.
机译:可以直接从遥感估计,定义为ET和可用能量的比例的蒸发级分(EF)。尽管使用基于遥感数据集的辐射表面温度(TS)和归一化差异植被指数(NDVI)的上下文解释,但许多研究已经成功地估计了EF。然而,很少研究专注于地形对复杂地形区域中三角形方法应用的影响。在这项研究中,我们通过Tiangle方法估算了具有来自SOMIS数据集的Triangle方法,通过Taihu Basin,中国的Modis Datasets进行地形校正,并评估地形对EF估计的影响。我们的结果表明,地形校正改善以定量地确定TS-NDVI三角形空间的干燥和湿边。在山区的地形校正之前,EF的值高估。纠正后,EF的值在地形的不同高度和方面变化。 EF的均值为0.2至0.8,平均值为0.5,这变得比校正前更合理。

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