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Study on Dynamic Model of Marine Ecosystem Based on Chlorophyll Concentration Distribution

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DOI: 10.23977/geors.2021.040106 | Downloads: 9 | Views: 1070


XiangGuang Zhang 1, YongSheng Xu 1


1 Institute of Oceanology, Chinese Academy of Sciences, Qingdao, Shandong 266071, China

Corresponding Author

YongSheng Xu


Marine ecosystem has two important basic characteristics, namely, nonlinearity and hierarchy. Non-linearity leads to high correlation between ecological parameters in marine ecosystem dynamics model, which leads to large errors in simulation results. This paper describes the monitoring and prediction technology of chlorophyll a concentration based on MODIS image data, and based on this, interprets and analyzes MODIS image data, and establishes a water ecological dynamic model. Firstly, MODIS image data are interpreted and analyzed, and the initial data are processed by projection transformation and region of interest clipping, and then atmospheric correction is performed. At the same time, the remote sensing inversion model of chlorophyll a concentration of marine algae is established by using BP neural network technology combined with optical and radar remote sensing. The research results show that the method described in this paper can overcome the disadvantage of low resolution of MODIS image data and provide fast and real-time monitoring results.


Chlorophyll concentration, Marine ecosystem, Dynamic model


XiangGuang Zhang, YongSheng Xu. Study on Dynamic Model of Marine Ecosystem Based on Chlorophyll Concentration Distribution. Geoscience and Remote Sensing (2021) Vol. 4: 54-61. DOI:


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