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Water surface temperature profiles for the Rhine River derived from Landsat ETM+ data

机译:来自Landsat ETM +数据的莱茵河水面温度曲线

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Water temperature influences physical and chemical parameters of rivers and streams and is an important parameter for water quality. It is a crucial factor for the existence and the growth of animal and plant species in the river ecosystem. The aim of the research project " Remote sensing of water surface temperature" at the Federal Institute of Hydrology (BfG), Germany, is to supplement point measurements of water temperature with remote sensing methodology. The research area investigated here is the Upper and Middle Rhine River, where continuous measurements of water temperature are already available for several water quality monitoring stations. Satellite imagery is used to complement these point, measurements and to generate longitudinal temperature profiles for a better systematic understanding of the changes in river temperature along its course. Several products for sea surface temperature derived from radiances in the thermal infrared are available, but for water temperature from rivers less research has been carried out. Problems arise from the characteristics of the river valley and morphology and the proximity to the riverbank. Depending on the river width, a certain spatial resolution of the satellite images is necessary to allow for an accurate identification of the river surface and the calculation of water temperature. The bands from the Landsat ETM+ sensor in the thermal infrared region offer a possibility to extract the river surface temperatures (RST) of a sufficiently wide river such as the Rhine. Additionally, problems such as cloud cover, shadowing effects, georeferencing errors, different emissivity of water and land, scattering of thermal radiation, adjacency and mixed pixel effects had to be accounted for and their effects on the radiance temperatures will be discussed. For this purpose, several temperature data sets derived from radiance and in situ measurements were compared. The observed radiance temperatures are strongly influenced by the atmosphere. Without atmospheric correction, the absolute mean difference between RST and in situ measurements was 1.1℃ with a standard deviation of 1.3℃. Thus, a correction of atmospheric influences on radiances measured at the top of the atmosphere was necessary and two different methods for atmospheric correction (ATCOR2 and the Atmospheric Correction Parameter Calculator) were applied. The correction results showed that for both methods, the correct choice of atmospheric profiles is very important. With the calculator, an absolute mean difference of 0.8 ± 1.0℃, with ATCOR2 an absolute mean difference of 1.3 ± 1.7℃ and with the selected best corrections, an absolute mean difference of 0.5 ± 0.7℃ was achieved. The selected corrected RST can be used to interpolate between in situ measurements available only for a limited number of points along the river course and longitudinal example profiles of the surface water temperature in the Upper and Middle Rhine could be calculated for different seasons. On the basis of these profiles, increasing temperatures along the Upper Rhine could be identified and the possibility to detect heat or cooling discharge from tributaries and other sources is evaluated.
机译:水温影响河流和河流的物理和化学参数,并且是水质的重要参数。它是河流生态系统中动植物物种生存和生长的关键因素。德国联邦水文学研究所(BfG)的“水面温度遥感”研究项目的目的是用遥感方法补充水温的点测量。这里研究的研究区域是莱茵河中上游和莱茵河中部,几个水质监测站已经可以对水温进行连续测量。卫星图像用于补充这些点,测量值并生成纵向温度曲线,以便更好地系统了解河道中的温度变化。目前有几种用于从热红外辐射得出的海面温度产品,但是对于河流中的水温却很少进行研究。问题来自于河谷的特征和形态以及与河岸的距离。根据河流的宽度,必须有一定的卫星图像空间分辨率,才能准确识别河流表面并计算水温。来自Landsat ETM +传感器在红外热区的波段提供了提取足够宽的河流(如莱茵河)的河面温度(RST)的可能性。另外,必须考虑诸如云层覆盖,阴影效应,地理参考误差,水陆发射率不同,热辐射散射,邻接和混合像素效应等问题,并将讨论它们对辐射温度的影响。为此,比较了从辐射度和原位测量得出的几个温度数据集。观测到的辐射温度受到大气的强烈影响。如果不进行大气校正,RST和现场测量之间的绝对平均差为1.1℃,标准偏差为1.3℃。因此,必须校正大气对在大气顶部测得的辐射的影响,并且应用了两种不同的大气校正方法(ATCOR2和大气校正参数计算器)。校正结果表明,对于这两种方法,正确选择大气剖面非常重要。使用计算器,绝对平均差为0.8±1.0℃,使用ATCOR2的绝对平均差为1.3±1.7℃,并且通过选择最佳校正,可以获得0.5±0.7℃的绝对平均差。所选校正后的RST可用于在仅沿河道有限数量的点可用的原位测量之间进行插值,并且可以针对不同季节计算上莱茵河中部和中部地表水温度的纵向示例剖面。根据这些特征,可以确定上莱茵河沿岸的温度升高,并评估检测支流和其他来源的热量或冷却排放的可能性。

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