【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。更多还原

【Abstract】 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.更多还原