主办单位：中国气象局沈阳大气环境研究所
国际刊号：ISSN 1673-503X
国内刊号：CN 21-1531/P
气象与环境学报

气象与环境学报 ›› 2015, Vol. 31 ›› Issue (2): 15-20.doi:

• 论文 • 上一篇    下一篇

珠江三角洲地区FY-3卫星MERSI影像的大气校正方法研究

张月维1，2 何全军1，2   黄江1，2   

  1. 1.广州气象卫星地面站，广州 广东 510640；2.中国气象局/广东省区域数值天气预报重点实验室，广州 广东 510080
  • 出版日期:2015-05-01 发布日期:2015-05-01

Study on atmospheric correction methods for FY-3 MERSI image over Pearl River Delta region

ZHANG Yue-wei1,2  HE Quan-jun1,2   HUANG Jiang1,2
   

  1. 1.Guangzhou Meteorological Satellite Ground Station, Guangzhou 510640, China; 2. Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, Chinese Meteorological Administration, Guangzhou 510080, China
  • Online:2015-05-01 Published:2015-05-01

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关键词: 大气校正, FY-3卫星, MERSI, 植被指数

Abstract:

 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 order to validate effects of SMAC algorithm for MERSI data, the reflectance histogram of each band and the normalized difference vegetation index (NDVI) before and after atmospheric correction were compared, and the reflectivity distribution characteristics in each meteorological station were analyzed. The results show that the reflectance interval 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 correction; the histograms of NDVI are more similar for the data with time closer. All these results suggest that this atmospheric correction method is reasonable.

Key words: Atmospheric correction, FY-3 satellite, MERSI (medium resolution spectral imager), Vegetable index