Remote sensing retrieval of chlorophyll-a and suspended matter in coastal waters of Golden Beach
GAI Yingying(), WANG Zhangjun(), YANG Lei, ZHOU Yan, GONG Jinlong
Institute of Oceanographic Instrumentation, Qilu University of Technology (Shandong Academy of Sciences), Shandong Provincial Key Laboratory of Marine Monitoring Instrument Equipment Technology, National Engineering and Technological Research Center of Marine Monitoring Equipment, Qingdao 266061, China
In view of the low precision of existing water quality element retrieval models applied to the coastal waters of Golden Beach, the authors, based on the statistical retrieval models of water color for case Ⅱ water body in Yellow Sea and East China Sea by Tang Junwu, established the retrieval models of chlorophyll-a and total suspended matter concentration for coastal waters of Golden Beach by using the spectral data obtained from airborne marine hyper-spectrometer. The spatial distribution of chlorophyll-a and total suspended matter concentration in the study area was obtained and the influence of hyper-spectrometer gain on model retrieval accuracy was analyzed. After the models were improved, the determination coefficients and average relative errors between the retrieval results from spectrometer measurements and the sampling measurements were respectively chlorophyll-a 0.65, 4.41%, and total suspended matter 0.80, 3.55%. Retrieval results from the same spectrometer at the same coordinates and approximate time but under different gains were compared. It is proved that retrieval average relative errors and root mean square errors of improved models are all increased and the retrieval accuracy is reduced if gain changes. However, the error is in the allowable range and the model stability is good overall.
盖颖颖, 王章军, 杨雷, 周燕, 龚金龙. 金沙滩近岸水体叶绿素a和悬浮物遥感反演研究[J]. 国土资源遥感, 2020, 32(3): 129-135.
GAI Yingying, WANG Zhangjun, YANG Lei, ZHOU Yan, GONG Jinlong. Remote sensing retrieval of chlorophyll-a and suspended matter in coastal waters of Golden Beach. Remote Sensing for Land & Resources, 2020, 32(3): 129-135.
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2020, Vol. 32 
), 王章军(
