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XU Xiaohui,PAN Delu,MAO Zhihua,TAO Bangyi. 2014. A new algorithm based on the background field for red tide monitoring in the East China Sea. Acta Oceanologica Sinica, 33(5):62-71
A new algorithm based on the background field for red tide monitoring in the East China Sea
基于背景场的一种新的赤潮监测算法
Received:March 04, 2013  Revised:April 18, 2013
DOI:10.1007/s13131-014-0404-y
Key words:red tide  remote sensing  background field  East China Sea
中文关键词:  赤潮,遥感,背景场,东海
基金项目:The National High Technology Research and Development Program (863 Program) of China under contract No. 2007AA092002; the National Basic Research Program (973 Program) of China under contract No. 2013CB956503.
Author NameAffiliationE-mail
XU Xiaohui South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China
State Key Laboratory of Satellite Ocean Environment Dynamics, the Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China
University of Chinese Academy of Sciences, Beijing 100049, China 
 
PAN Delu State Key Laboratory of Satellite Ocean Environment Dynamics, the Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China pandelu@sio.org.cn 
MAO Zhihua State Key Laboratory of Satellite Ocean Environment Dynamics, the Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China  
TAO Bangyi State Key Laboratory of Satellite Ocean Environment Dynamics, the Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China  
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Abstract:
      Remote sensing has been proven to be an effective means of monitoring red tides. The spectral information is an important basis for establishing a model to monitor red tides. The spectral curves of red tide events are analyzed and compared with multiyear monthly averaged spectral curves based on MODIS data from July 2002 to June 2012, as well as spectral differences at the same location during red tide presence and absence. A red tide monitoring algorithm is developed based on the background field to extract the red tide information of the East China Sea (ECS). With the application of the algorithm in the ECS, the results reveal that the developed model can effectively determine the location of red tides, with good correspondence to the results from an official bulletin. This demonstrates that the algorithm can effectively extract the red tide information.
中文摘要:
      遥感是赤潮监测的一种有效的手段。赤潮水体的光谱信息是建立赤潮遥感监测模型、提取赤潮信息的重要依据。本文在分析比较赤潮事件光谱曲线和2002年7月到2012年6月十年月平均光谱曲线的差异,以及同一个位置赤潮发生时和赤潮未发生时的光谱差异的基础上,发展了一种基于背景场的赤潮提取算法,用以提取东海水体赤潮信息。将算法应用于东海赤潮历史事件中,进行赤潮水体信息提取,发现该算法能有效地确定赤潮发生的位置,和公报的结果吻合得较好,表明本文提出的算法可有效地确定赤潮发生的位置及提取赤潮信息。
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