基于光谱差异的东海赤潮提取算法

海洋学研究 ›› 2013, Vol. 31 ›› Issue (2): 26-34.

基于光谱差异的东海赤潮提取算法

徐晓晖^1,2,3, 毛志华^*2, 陶邦一²

1.中国科学院南海海洋研究所,广东广州 510301;
2.国家海洋局第二海洋研究所,浙江杭州 310012;
3.中国科学院大学,北京 100049

收稿日期:2012-09-10 修回日期:2013-03-06 出版日期:2013-06-15 发布日期:2022-11-29
通讯作者: *毛志华,研究员,E-mail:mao@sio.org.cn
作者简介:徐晓晖(1985-),女,天津市人,博士研究生,主要从事海洋遥感研究。E-mail:xuxiaohui_2008@126.com
基金资助:
国家“863”计划重点资助项目(2007AA092002)

A new algorithm of red tide monitoring based on the spectral differences in the East China Sea

XU Xiao-hui^1,2,3, MAO Zhi-hua^*2, TAO Bang-yi²

1. South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China;
2. The Second Institute of Oceanography, Hangzhou 310012, China;
3. University of Chinese Academy of Sciences, Beijing 100049, China

Received:2012-09-10 Revised:2013-03-06 Online:2013-06-15 Published:2022-11-29

摘要/Abstract

摘要： 赤潮是最严重的海洋灾害之一,它不仅破坏海洋渔业生产、恶化海洋环境、影响滨海旅游业,而且还会影响人类健康。东海是我国赤潮灾害的“高发区”,赤潮发生次数和面积均明显高于其它海区。遥感是赤潮监测的最有效的手段之一,从光谱曲线可以看出,赤潮水体和非赤潮水体光谱曲线有明显的区别,前者呈现出2个吸收峰和2个反射峰,而后者不具备该特征。基于光谱差异,本文提出了1种新的赤潮提取算法:R_rs555/R_rs488>1.5且R_rs678-R_rs667>0。该算法能有效地确定卫星数据中赤潮的位置,与公报的赤潮位置吻合得较好。因此,该算法适用于卫星数据的东海赤潮信息提取。

关键词: 光谱, 赤潮, MODIS, 东海

Abstract: Red tide is one of the most serious marine hazards. It not only destroys marine fishery production, deteriorates the marine environment, affects coastal tourist industry, but also causes human health problems. The East China Sea is the region of the “high incidence” of the red tide disaster in China: both in the frequency and the area are significantly higher than others. Remote sensing technology has been proved to be one of the most effective means of red tide monitoring. From the spectral curves, we can see that the spectral of the red tide water and non-red tide water has significant difference: there are two peaks and two valleys in red tide water, while there are no these two peaks and two valleys in non-red tide water. Based on the spectral differences, a new algorithm was developed with conditions of R_rs 555/ R_rs 488> 1.5, and R_rs 678- R_rs 667 > 0 to extract the red tide information. The algorithm can determine effectively the locations from satellite data of red tide, and it is good corresponding to the results in the official bulletin. Therefore, this algorithm is suitable to monitor the red tide from satellite data in the East China Sea.

Key words: spectrum, red tide, MODIS, the East China Sea

中图分类号:

TP753

徐晓晖, 毛志华, 陶邦一. 基于光谱差异的东海赤潮提取算法[J]. 海洋学研究, 2013, 31(2): 26-34.

XU Xiao-hui, MAO Zhi-hua, TAO Bang-yi. A new algorithm of red tide monitoring based on the spectral differences in the East China Sea[J]. Journal of Marine Sciences, 2013, 31(2): 26-34.

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