杨斌, 石静, 田力, 徐雯佳. 秦皇岛海域微微藻褐潮遥感监测方法初探[J]. 海洋环境科学, 2016, 35(4): 605-610. DOI: 10.13634/j.cnki.mes20160420
引用本文: 杨斌, 石静, 田力, 徐雯佳. 秦皇岛海域微微藻褐潮遥感监测方法初探[J]. 海洋环境科学, 2016, 35(4): 605-610. DOI: 10.13634/j.cnki.mes20160420
YANG Bin, SHI Jing, TIAN Li, XU Wen-jia. Preliminary study on brown tide of Picophytoplankton algal monitoring by remote sensing in Qinhuangdao coastal sea[J]. Chinese Journal of MARINE ENVIRONMENTAL SCIENCE, 2016, 35(4): 605-610. DOI: 10.13634/j.cnki.mes20160420
Citation: YANG Bin, SHI Jing, TIAN Li, XU Wen-jia. Preliminary study on brown tide of Picophytoplankton algal monitoring by remote sensing in Qinhuangdao coastal sea[J]. Chinese Journal of MARINE ENVIRONMENTAL SCIENCE, 2016, 35(4): 605-610. DOI: 10.13634/j.cnki.mes20160420

秦皇岛海域微微藻褐潮遥感监测方法初探

Preliminary study on brown tide of Picophytoplankton algal monitoring by remote sensing in Qinhuangdao coastal sea

  • 摘要: 微微藻褐潮在我国是一种新出现的海洋生态灾害。本文针对秦皇岛海域微微藻褐潮高发区,探讨利用卫星遥感技术监测微微藻褐潮的可行性。首先利用MODIS数据反演秦皇岛海域叶绿素a(Chl a)浓度和海面温度(SST)判别水色异常区域,然后通过HJ-1号卫星真彩色影像中褐潮水体与非褐潮水体之间的水色差异,综合判读褐潮,最后以2014年5月秦皇岛海域的卫星遥感数据为实验数据进行实例研究。结果表明,当Chl a≥2.5 mg/m3和15℃≤SST≤25℃时为海水水色异常阈值,并且褐潮水体在HJ-1号卫星真彩色影像中呈明显的黄绿色,该综合判别法用于微微藻褐潮监测是可行的,这为进一步开展微微藻褐潮业务化监测奠定了基础。

     

    Abstract: The brown tide of picophytoplankton algal was a new marine ecological disaster in China.It occurred frequently in Qinhuangdao coastal sea.A method of brown tide detection using remote sensing technology was discussed.The abnormal ocean color was extracted by retrieving chlorophyll-a (Chl a) and sea surface temperature (SST) with MODIS data.On this basis, the brown tide information was finally extracted by comparing the color difference between brown tide water and non-brown tide water in the true color composite image of HJ-1.The brown tide of picophytoplankton algal occurred in Qinhuangdao coastal sea during the May, 2014 was analyzed at last.The results showed that the abnormal ocean color would be happened when Chl a≥2.5 mg/m3 and 15℃≤SST≤25℃.The color of brown tide water was yellow-green in the true color satellite image.Therefore, this method was effective for monitoring the brown tide of picophytoplankton algal.It lays a good foundation for the operational monitoring brown tide in the future.

     

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