引用本文:	徐福祥,高志强,尚伟涛,宁吉才,姜晓鹏,宋德彬.基于无人机的海滨景区绿潮监测.海洋与湖沼,2018,49(5):1061-1067.

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基于无人机的海滨景区绿潮监测
徐福祥^1,2,3, 高志强¹, 尚伟涛¹, 宁吉才¹, 姜晓鹏¹, 宋德彬^1,2
1.中国科学院烟台海岸带研究所烟台 264003;2.中国科学院大学北京 100049;3.山东工商学院公共管理学院烟台 264005

摘要:

基于无人机航拍数据，利用四种颜色指数，结合无人机RGB影像对海阳市海滨景区绿潮进行特征统计和监测识别，验证不同空间位置绿潮的适宜监测指数。结果表明：海滨景区G波段高于其他波段的特征使其可以利用颜色指数进行监测；对于不同位置的绿潮灾害，NGBDI指数较适用于海滨景区漂浮绿潮的监测，而GLI指数则更适用于海滨景区海滩绿潮的监测。

关键词: 绿潮海滨景区无人机颜色指数

DOI：10.11693/hyhz20171200325

分类号:X87

基金项目:国家自然科学基金项目，41876107号；山东省联合基金项目，U1706219号；科技部基础支撑项目，2014FY210600号；青岛海洋科学与技术国家实验室鳌山科技创新计划项目，2016ASKJ02号。

附件

DRONE-BASED MONITORING ON green tide ALONG coastal TOURISM AREA

XU Fu-xiang^1,2,3, GAO Zhi-qiang¹, SHANG Wei-tao¹, NING Ji-cai¹, JIANG Xiao-peng¹, SONG De-bin^1,2

1.Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China;2.University of Chinese Academy of Sciences, Beijing 100049, China;3.School of Public Administration, Shandong Technology and Business University, Yantai 264005, China

Abstract:

RGB images were taken by a drone-borne camera and analyzed using four-color indices to monitor and identify green tide in the coastal scenic area in Haiyang, Shandong. Monitoring indices in different locations were specified. The results show that the characteristic values of G-band are greater than the other bands' and the color indices could be used for green tide monitoring. For different places of the green tide outbreak, NGBDI (normalized green-blue difference) index is applicable for monitoring floating green tide at sea, and GLI (green leaf index) index for green tide monitoring on beach.

Key words: green tide monitoring coastal scenic area drone color index