基于无人机的海滨景区绿潮监测  

DRONE-BASED MONITORING ON GREEN TIDE ALONG COASTAL TOURISM AREA

作　　者：徐福祥[1,2,3] 高志强 尚伟涛[1] 宁吉才 姜晓鹏[1] 宋德彬[1,2] XU Fu-Xiang;GAO Zhi-Qiang;SHANG Wei-Tao;NING Ji-Cai;JIANG Xiao-Peng;SONG De-Bin(Yantai Institute of Coastal Zone Research,Chinese Academy of Sciences,Yantai 264003,China;University of Chinese Academy of Sciences,Beijing 100049,China;School of Public Administration,Shandong Technology and Business University,Yantai 264005, China)

机构地区：[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

出　　处：《海洋与湖沼》2018年第5期1061-1067,共7页Oceanologia Et Limnologia Sinica

基　　金：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

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。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.

关 键 词：绿潮 海滨景区 无人机 颜色指数 

分 类 号：X87[环境科学与工程—环境工程]