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Sun Lu, Jiang Jin'gang, Zhu Weining. Remote sensing inversion and daily variation of CDOM based on GOCI in the Changjiang Estuary and adjacent waters[J]. Haiyang Xuebao, 2017, 39(9): 133-145. doi: 10.3969/j.issn.0253-4193.2017.09.013
Citation: Sun Lu, Jiang Jin'gang, Zhu Weining. Remote sensing inversion and daily variation of CDOM based on GOCI in the Changjiang Estuary and adjacent waters[J]. Haiyang Xuebao, 2017, 39(9): 133-145. doi: 10.3969/j.issn.0253-4193.2017.09.013

Remote sensing inversion and daily variation of CDOM based on GOCI in the Changjiang Estuary and adjacent waters

doi: 10.3969/j.issn.0253-4193.2017.09.013
  • Received Date: 2016-10-19
  • Rev Recd Date: 2017-03-01
  • GOCI satellite data is adopted to retrieve high concentrations of colored dissolved organic matter in coastal waters of Changjiang Estuary. The inversion model is based on QAA-CDOM algorithm and field measured data. The BP neural network was used to fit the relationship between bbp(555) and ap(443), which is used in QAA-CDOM and needs to be optimized for the water in the Changjiang Estuary. The results show that the inversion accuracy is excellent with mean relative error 0.35. Then based on advantage of GOCI's serial imaging, 8 images acquired in March 15, 2014 were inverted and analysed for CDOM daily variations in Changjiang Estuary and its adjacent seawater. The obtained the CDOM variation pattern is that CDOM in Changjiang Estuary and its adjacent seawater is mainly impacted by tides and the discharge of Changjiang. Inside the Changjiang Estuary, due to the effect of Changjiang diluted water, CDOM concentration in high tide is higher than that in the low tide, and it showed gradually decreasing trend from the estuary to the open sea.
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