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Remote sensing inversion of total suspended matter concentration in Oujiang River based on Landsat-8/OLI

机译:基于Landsat-8 / Oli的瓯江全悬浮物集中遥感反演

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Human activities and discharged river pollution affect the marine ecological environment. Therefore, it is very important to study how human activities affect the offshore ecological environment by monitoring the fluxes of terrestrial materials from rivers over long-times sequence. Landsat satellite data, which began in the 1970s, are of great value for monitoring changes in water quality in many small and medium-size rivers in China, which lacked field observation data in the early years. Because river water is usually turbid and the composition of water is complex, there is no uniform precise atmospheric correction. In addition, components of inland riverine water are different, so we need to build regional high-precision total suspended matter (TSM) inversion model. Based on Landsat-8/OLI (Operational Land Imager) data, we evaluate the applicability of different atmospheric correction methods (Fast Line-of-sight Atmospheric Analysis of Hypercubes-FLAASH, Dark Subtraction-DS and Quick Atmospheric Correction-QUAC) to Oujiang River. The results show that FLAASH gives good atmospheric correction, with the mean relative error of each band being around 15%. We collected three occurrences of measured data synchronized with the Landsat-8 satellite. Based on the measured TSM and remote sensing reflectance spectrum data, we analyze the correlation between different band combinations and TSM. The results show that the equivalent remote sensing reflectance ratio of OLI (482nm)/OLI (865nm) is highly correlated. Finally, we apply the established regional TSM inversion model to the OLI data in Oujiang River basin and comprehensively analyze the long-term changes of TSM concentration in the Oujiang River.
机译:人类活动和排放的河流污染影响海洋生态环境。因此,研究人类活动如何通过监测从长期序列的河流从河流的群体助流来影响近海生态环境。始于20世纪70年代的Landsat卫星数据,对于中国许多中小河中的水质变化具有很大的价值,这在初期缺乏现场观测数据。因为河水通常是浑浊,水的组成复杂,没有均匀的精确大气校正。此外,内陆河滨水的组成部分不同,因此我们需要建立区域高精度总悬挂物质(TSM)反转模型。基于Landsat-8 / Oli(运营土地成像仪)数据,我们评估了不同大气校正方法的适用性(超速闪烁,黑暗减法-DS和快速大气校正 - Quac的快速视线大气分析)到欧江河。结果表明,鞭挞提供了良好的大气校正,每个频段的平均相对误差约为15%。我们收集了与Landsat-8卫星同步的三个测量数据。基于测量的TSM和遥感反射谱数据,我们分析了不同频带组合与TSM之间的相关性。结果表明,Oli(482nm)/ Oli(865nm)的等效遥感反射比率高度相关。最后,我们将已建立的区域TSM反转模型应用于瓯江流域的OLI数据,并综合分析了瓯江TSM集中的长期变化。

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