Estimation of suspended particulate matter concentration based on Landsat 8 data in the Yellow River Estuary

doi:10.3969/j.issn.1001-909X.2018.01.004

Abstract

Abstract: Suspended particulate matter (SPM) plays an important role in determining the light field under water, which then affects the primary production and waters ecological environment. Therefore, SPM concentration is one of the important parameters for water quality and hydrographic environment monitoring.Based on a total of 89 in-situ SPM concentration and spectral data collected from June to July and from November to December 2011, the spectral characteristics of suspended matter in the Yellow River Estuary and its adjacent waters were analyzed. And an empirical inversion algorithms for SPM concentration with different combinations of bands or band ratios was established. The result showed that the algorithm with combining the R_rs655/R_rs560 and R_rs865 was the best, the APD of algorithm was 25.65%, and the correlation was 0.95. Using the R_rs retrieved from Landsat 8 OLI data and the SPM algorithm, 7 maps of the SPM concentration in the Yellow River Estuary and its adjacent waters from 2014 to 2016 were obtained. The result indicated that the SPM concentration reduced gradually from the coastal to offshore waters, and the value of SPM concentration had significant changes during different periods.

Key words: Yellow River Estuary, Landsat 8 OLI, suspended particulate matter, remote sensing inversion

CLC Number:

ZHOU Yuan, HAO Yan-ling, LIU Dong-wei, CUI Ting-wei, YU Rui-hong, ZHANG Zhi-lei. Estimation of suspended particulate matter concentration based on Landsat 8 data in the Yellow River Estuary[J]. Journal of Marine Sciences, 2018, 36(1): 35-45.

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