摘要
利用广东省86个气象站的观测数据为大气校正简化算法(Simplify Method for Atmospheric Correction,SMAC)提供校正参数,对中分辨率光谱成像仪(Medium Resolution Spectral Imager,MERSI)的250 m分辨率数据进行了大气校正处理研究。通过对各波段反射率直方图、归一化植被指数(Normalized Difference Vegetable Index,NDVI)直方图及气象站反射率的分布特征进行分析,检验SMAC算法进行MERSI数据大气校正的效果。结果表明:大气校正后MERSI各波段反射率区间变宽,站点反射率更接近实际,校正后的NDVI直方图曲线较平滑,NDVI峰值向高值移动,临近日期的NDVI直方图曲线更相近,说明本文采用的大气校正处理方法可得到合理的结果。
Observed data from 86 weather stations in Guangdong province were used to provide parameters of a simplify method for atmospheric correction（SMAC）algorithm,and then the SMAC algorithm was employed to conduct atmospheric correction for 250 m resolution data from medium resolution spectral imager（MERSI）.In or-der to validate effects of SMAC algorithm for MERSI data,the reflectance histogram of each band and the normal-ized difference vegetation index（NDVI）before and after atmospheric correction were compared,and the reflectivi-ty distribution characteristics in each meteorological station were analyzed.The results show that the reflectance in-terval of each band becomes wider and the reflectivity in the meteorological station is closer to the observation after atmospheric correction.Also,the histograms of NDVI are smoother and the peaks are higher after atmospheric cor-rection;the histograms of NDVI are more similar for the data with time closer.All these results suggest that this at-mospheric correction method is reasonable.
出处
《气象与环境学报》
2015年第2期15-20,共6页
Journal of Meteorology and Environment
基金
公益性行业(气象)科研专项(201306081)
广东省气象局科学技术研究项目(2011B08)共同资助
关键词
大气校正
FY-3卫星
中分辨率光谱成像仪
归一化植被指数
Atmospheric correction
FY-3 satellite
MERSI （ medium resolution spectral imager ）
Normalizeddifference vegetable index
