光学学报, 2016, 36 (6): 0601004, 网络出版: 2016-06-06
基于GF1-WFV和HJ-CCD数据的我国近海绿潮遥感监测算法研究
Remote Sensing Algorithm for Detecting Green Tide in China Coastal Waters Based on GF1-WFV and HJ-CCD Data
摘要
大面积绿潮爆发对海洋生态环境、渔业经济、滨海旅游业等造成严重的负面影响。利用遥感技术可对绿潮进行宏观、及时、动态的有效监测,也可进行及时治理和预防,以减少经济损失。从GF1-WFV和HJ-CCD影像数据提取我国沿海绿潮水体的反射光谱特征,分析与非绿潮水体的光谱特征的差异,进而面向环境一号和高分一号开发了多光谱绿潮指数(MGTI)-多波段差值耦合算法,并用该算法对绿潮进行遥感监测。同时与Landsat7-ETM+影像监测面积、归一化植被指数(NDVI)算法和增强型植被指数(EVI)算法提取绿潮面积进行比较验证。结果表明,所开发算法对绿潮发生位置和面积的监测效果较好,且精度达到94%,可有效地应用于我国沿海二类水体的绿潮监测,为利用国产卫星数据监测沿海绿潮提供理论依据和方法支撑。
Abstract
A large area outbreak of green tide poses serious negative impact on marine environment, fishery economy, and coastal tourism. Remote sensing technology has an advantage in macroscopic and dynamic monitoring of green tide in time, and is of significance for green tide treatment and prevention in time to reduce economic lost. We extract spectral reflectance characteristics of green tide from remote sensing data in coastal waters, and analyze spectral differences between green tide and normal waters. Towards the domestic satellite data of HJ-1 and GF-1, we develop a multispectral green tide index(MGTI)-multiband difference coupling algorithm that can be used to effectively detect green tide based on remote sensing technology. Meanwhile, remote sensing monitoring of green tide area by using Landsat7-ETM+ data is collected as reference, and also two conventional remote sensing algorithms, including normalized difference vegetation index(NDVI) and enhanced vegetation index(EVI), can be used for comparing with our developed algorithm. The obtained results demonstrate that the developed algorithm can be effectively applied into green tide monitoring in China coastal waters, and the monitoring accuracy is approximately 94%. This research can provide a theoretical basis and strategy for using domestic satellite data to monitor green tide in coastal waters.
张海龙, 孙德勇, 李俊生, 丘仲锋, 王胜强, 何宜军. 基于GF1-WFV和HJ-CCD数据的我国近海绿潮遥感监测算法研究[J]. 光学学报, 2016, 36(6): 0601004. Zhang Hailong, Sun Deyong, Li Junsheng, Qiu Zhongfeng, Wang Shengqiang, He Yijun. Remote Sensing Algorithm for Detecting Green Tide in China Coastal Waters Based on GF1-WFV and HJ-CCD Data[J]. Acta Optica Sinica, 2016, 36(6): 0601004.