基于GOCI影像的長江口及其鄰近海域CDOM遙感反演及其日內(nèi)變化研究
發(fā)布時間:2019-04-22 19:41
【摘要】:采用靜止軌道海洋水色衛(wèi)星(GOCI)數(shù)據(jù)對長江口及其鄰近海域有色溶解有機物(CDOM)反演。以QAA-CDOM算法為基礎(chǔ),根據(jù)實測數(shù)據(jù),利用BP神經(jīng)網(wǎng)絡(luò)模型來擬合QAA-CDOM算法中需要針對長江口水體進行優(yōu)化的懸浮顆粒后向散射系數(shù)bbp與吸收系數(shù)ap的關(guān)系,從而準確估算CDOM的濃度。結(jié)果表明,反演結(jié)果準確度較高,平均相對誤差為0.35;贕OCI日內(nèi)連續(xù)成像的優(yōu)勢,選取2014年3月15日8景GOCI影像,利用優(yōu)化后的QAA-CDOM-BP算法,對長江口及其鄰近海域CDOM的日內(nèi)變化進行反演和分析,得到的變化規(guī)律如下:長江口及其鄰近海域的CDOM日變化主要受潮流、長江徑流等共同影響。長江口內(nèi)CDOM濃度在漲潮期高于退潮期,由于受長江沖淡水的作用,CDOM從口外往外海區(qū)呈現(xiàn)逐漸遞減趨勢。
[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】:國家自然科學(xué)基金面上項目(41471346) 國家自然科學(xué)青年基金項目(41401404) 海洋公益性行業(yè)科研專項經(jīng)費項目(201005030-06)
【分類號】:P715.7;P734
[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】:國家自然科學(xué)基金面上項目(41471346) 國家自然科學(xué)青年基金項目(41401404) 海洋公益性行業(yè)科研專項經(jīng)費項目(201005030-06)
【分類號】:P715.7;P734
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