Retrieval models of total suspended matter and chlorophyll <em>a</em> concentration in Yellow Sea based on HJ-1 CCD data and evolutionary modeling method

Qin Ping; Shen Yue; Mu Bing; Hao Yanling; Zhu Jianhua; Cui Tingwei

doi:10.3969/j.issn.0253-4193.2014.11.016

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Qin Ping, Shen Yue, Mu Bing, Hao Yanling, Zhu Jianhua, Cui Tingwei. Retrieval models of total suspended matter and chlorophyll a concentration in Yellow Sea based on HJ-1 CCD data and evolutionary modeling method[J]. Haiyang Xuebao, 2014, 36(11): 142-149. doi: 10.3969/j.issn.0253-4193.2014.11.016

Citation:

Qin Ping, Shen Yue, Mu Bing, Hao Yanling, Zhu Jianhua, Cui Tingwei. Retrieval models of total suspended matter and chlorophyll a concentration in Yellow Sea based on HJ-1 CCD data and evolutionary modeling method[J]. Haiyang Xuebao, 2014, 36(11): 142-149. doi: 10.3969/j.issn.0253-4193.2014.11.016

Citation:

Qin Ping, Shen Yue, Mu Bing, Hao Yanling, Zhu Jianhua, Cui Tingwei. Retrieval models of total suspended matter and chlorophyll a concentration in Yellow Sea based on HJ-1 CCD data and evolutionary modeling method[J]. Haiyang Xuebao, 2014, 36(11): 142-149. doi: 10.3969/j.issn.0253-4193.2014.11.016

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Retrieval models of total suspended matter and chlorophyll a concentration in Yellow Sea based on HJ-1 CCD data and evolutionary modeling method

doi: 10.3969/j.issn.0253-4193.2014.11.016

1.
Information Science and Engineering College, Ocean University of China, Qingdao 266100, China
2.
First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China;College of Environment & Resources, Inner Mongolia University, Hohhot 010021, China
3.
National Ocean Technology Center, Tianjin 300112, China
4.
First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China

Received Date: 2012-12-09

Abstract

Abstract

By using the in-situ measuring data, this study developed retrieval models of chlorophyll a (Chl a) and total suspended matter (TSM) for HJ-1 CCD data in the Yellow Sea based on the evolutionary modeling method. The terminal and function set of the evolutionary modeling method were designed to be adapted to retrieval of water constituents, and the transgene operator was employed to insert and maintain the prior knowledge. The average percentage difference (APD) for TSM was 31% (the correlation coefficient R²=0.96), and that for Chla was 33% (R²=0.88). The error sensitivity of the retrieval models was analyzed, and the output errors were generally less than ±10% when introducing ±5% error of remote sensing reflectance. Compared with neural network method, the evolutionary models have higher accuracy and simpler structures. In addition, in-situ data with different seasons was employed to validate the accuracy of the retrieval models. This study shows that the evolutionary modeling method is applicable for retrieval of water constituents from ocean color remote sensed data. Many explicit models with well accuracy and different structures could be obtained automatically, and they are of potential applications for hyperspectral data. Finally, we discussed how to improve the method in the near future.
- HJ-1 CCD,
- total suspended matter,
- chlorophyll a,
- evolutionary modeling,
- the Yellow Sea

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References(16)

References

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