基于国产静止高分卫星GF4-MSS数据的浒苔灾害监测研究  

Study on Ulva prolifera disaster monitoring based on domestic geostationary satellite GF4-MSS data

作　　者：董京铭 石轩硕 张银意[1] 郝玲 马晨晨[1] DONG Jing-ming;SHI Xuan-shuo;ZHANG Yin-yi;HAO ling;MA Chen-chen(Lianyungang Meteorological Bureau,Lianyungang 222000,Jiangsu,China;School of Marine Sciences,Nanjing University of Information Science and Technology,Nanjing 210044,China)

机构地区：[1]连云港市气象局,江苏连云港222000 [2]南京信息工程大学海洋科学学院,南京210044

出　　处：《湖北农业科学》2022年第23期190-196,221,共8页Hubei Agricultural Sciences

基　　金：江苏省气象局面上项目(KM202210);连云港市市局自立课题(LG202001)。

摘　　要：基于国产静止卫星高分四号(GF4)MSS(Multi Spectral Scanner)传感器大气层顶反射率数据,采用缨帽变换得到的绿度指数实现了对中国近海浒苔(Ulva prolifera)灾害的准确监测。该算法无需大气校正和云掩膜环节,容易操作实施,同时可有效排除云像素干扰。将绿度指数应用到2019年多幅GF4-MSS遥感图像上,有效分析了浒苔范围的动态变化,为国产高分卫星系列监测浒苔灾害提供了新的技术支撑,同时推广国产光学卫星资料的使用率。Based on the top-of-atmosphere reflectance of the domestic geostationary satellite GF4-MSS(Multi-spectral Scanner)sensor,the greenness index obtained by tasseled cap transformation analysis was used to realize the accurate monitoring of Ulva prolifera disaster.The algorithm did not need atmospheric correction and cloud mask,which was easy to operate and implement,and could effectively eliminate cloud pixel interference.The greenness index was applied to multiple GF4-MSS remote sensing images in 2019 to effectively analyze the dynamic changes of Ulva prolifera bloom range,which provided new technical support for the monitoring of Ulva prolifera disasters by domestic high-resolution satellite series,and promoted the utilization rate of domestic optical satellite data.

关 键 词：浒苔(Ulva prolifera) 灾害监测 高分四号 绿度指数 

分 类 号：P76[天文地球—海洋科学]