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

Xuebing Wang; Difeng Wang; Fang Gong; Xianqiang He

doi:10.1117/12.2505668

12 December 2018 Remote sensing inversion of total suspended matter concentration in Oujiang River based on Landsat-8/OLI

Xuebing Wang, Difeng Wang, Fang Gong, Xianqiang He

Author Affiliations +

Proceedings Volume 10850, Ocean Optics and Information Technology; 108500X (2018) https://doi.org/10.1117/12.2505668
Event: International Symposium on Optoelectronic Technology and Application 2018, 2018, Beijing, China

Abstract

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.

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Xuebing Wang, Difeng Wang, Fang Gong, and Xianqiang He "Remote sensing inversion of total suspended matter concentration in Oujiang River based on Landsat-8/OLI", Proc. SPIE 10850, Ocean Optics and Information Technology, 108500X (12 December 2018); https://doi.org/10.1117/12.2505668

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KEYWORDS

Remote sensing

Reflectivity

Atmospheric corrections

Water

Data modeling

Earth observing sensors

Landsat

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