基于GOCI影像的長(zhǎng)江口及其鄰近海域CDOM遙感反演及其日內(nèi)變化研究
[Abstract]:The geostationary orbit ocean color satellite (GOCI) data are used to retrieve the colored dissolved organic matter (CDOM) in the Yangtze Estuary and its adjacent waters. Based on the QAA-CDOM algorithm and according to the measured data, the BP neural network model is used to fit the relationship between the backscattering coefficient (bbp) and the absorption coefficient (ap) of suspended particles which need to be optimized for the Yangtze Estuary water body in the QAA-CDOM algorithm. Thus, the concentration of CDOM is estimated accurately. The results show that the accuracy of the inversion results is high, and the average relative error is 0.35. Based on the advantage of GOCI intraday continuous imaging, 8 GOCI images of March 15, 2014 were selected, and the intra-day variation of CDOM in the Yangtze Estuary and its adjacent waters was inversed and analyzed by using the optimized QAA-CDOM-BP algorithm. The rule of variation is as follows: the daily variation of CDOM in the Yangtze Estuary and its adjacent waters is mainly influenced by tidal current and runoff of the Yangtze River. The concentration of CDOM in the estuary of the Yangtze River is higher than that in the ebb stage. Due to the effect of the fresh water from the Yangtze River, the concentration of CDOM decreases gradually from the mouth to the outer sea area.
【作者單位】: 浙江大學(xué)海洋學(xué)院海島海岸帶研究所;
【基金】:國(guó)家自然科學(xué)基金面上項(xiàng)目(41471346) 國(guó)家自然科學(xué)青年基金項(xiàng)目(41401404) 海洋公益性行業(yè)科研專(zhuān)項(xiàng)經(jīng)費(fèi)項(xiàng)目(201005030-06)
【分類(lèi)號(hào)】:P715.7;P734
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