基于太湖气溶胶类型分区的环境一号卫星CCD大气校正

由两颗卫星组成的环境卫星星座系统所提供的CCD数据具有较高的时间分辨率,使其在内陆湖泊水环境遥感监测中具有较大的应用潜力,对其有效的大气校正方法的研究则是其定量化参数反演的前提.基于准同步的MODIS数据辅助,根据气溶胶的差异性,将太湖划分为北部湖区、其他湖区两块区域,利用辐射传输模型,研究太湖环境一号CCD数据大气校正的方法,并对2009年4月17、21、25日数据进行大气校正.研究结果表明,该大气校正方法直接使用较为成熟的MODIS各类产品,克服了传统大气校正中依赖于现场同步测量大气参数的缺陷,能够快速、有效地完成环境一号CCD数据的大气校正.基于气溶胶类型对太湖进行分区后,所求算的遥感反射率精度高于6S模型和暗像元等大气校正方法得到的结果.

Atmospheric correction of satelite HJ-1 CCD image based on aerosol distribution in Lake Taihu

HJ-1 satellite system has two optical CCD sensors, which can support real-time data for environment monitoring because of its high temporal resolution, so that there is great potential in inveraing inland lake water quality parameters by this system. To effectively monitoring water quality by CCD images, corresponding methods on atmospheric correction should be developed. Using quasi-synchronous MODIS images as an ancillary datum, Iake Taihu was divided into two parts, that is, northern part and the oth-er part. Then, radiative transfer model was used to develop the atmospheric correction method for satellite FJ-1 CCD images. The satellite HJ-1 CCD images on April 17th, 21st, and 25th of 2009 were processed through this atmospheric correction method. Re-salt shows that this method that is no longer depending on simultaneous measurement of atmospheric parameters, has overcome the defects of traditional atmosphere corrections by directly using MODIS products. Satellite FJ-I CCD image data can be processed more quickly and efficiently this method. Devised by aerosol types, the corrected remote sensing reflectance is more accurate than that by using other methods such as 6S model and dark-object method.