利用高分四号数据监测“京津冀”地区陆地气溶胶

摘要

GF-4 is Chinese new high resolution geostationary satellite of earth observing, and it has a wide prospect in air environment monitoring� In the paper, aimed to the characteristics of GF-4, based on the Dark Dense Vegetation method, the surface contribution is removed by the linear relation of surface reflectance between blue and red band, and the aerosol is retrieved, then the aerosol retrieving method is built for GF-4 data� Finally, the retrieving experiment is processed in May 10 and May 20 over over Beijing-Tianjin-Hebei region, and the result is validated by the measurements of ground-based CE318�The result shows that, our method can monitor the spatial distribution of aerosol, the correlation coefficient with CE318 is large, but our result is larger than CE318.%高分四号卫星是我国发射的新型高分辨率对地观测静止轨道卫星，在大气环境遥感监测方面有着广阔的前景。本文针对高分四号卫星的数据特点，以当前较为成熟的暗目标法为基础，利用浓密植被在红光和蓝光波段的线性关系，去除地表贡献，实现气溶胶光学厚度的反演，构建了应用于高分四号卫星数据的陆地气溶胶反演算法。在此基础上，利用2016年5月10日和20日过境“京津冀”地区的高分四号时间进行了反演试验，并利用地面CE318的观测结果进行了验证。结果表明，本算法能较好的反映气溶胶的空间分布，与地面结果有较高的相关性，但整体高于地面观测值。