激光与光电子学进展, 2018, 55 (8): 080101, 网络出版: 2018-08-13   

基于6S模型NPP VIIRS数据快速大气校正及精度评估 下载: 958次

NPP VIIRS Data Fast Atmospheric Correction and Accuracy Evaluation Based on 6S Model
作者单位
1 辽宁工程技术大学测绘与地理科学学院, 辽宁 阜新 123000
2 国家测绘地理信息局第二大地测量队(黑龙江第一测绘工程院), 黑龙江 哈尔滨 150000
摘要
运用一种快速大气校正方法以消除大气气溶胶粒子散射对电磁波传输的影响。基于大气辐射传输模型构建了气溶胶反演及大气校正查找表,采用暗像元算法实现了气溶胶光学厚度(AOD)反演,基于逐像元计算了大气校正参数。实验利用新一代的极轨运行环境卫星上的可见光红外成像辐射仪(VIIRS)数据,分析了大气校正前后植被与水体的反射率差异以及大气校正前后归一化植被指数的变化;利用实测光谱数据与中等分辨率成像光谱仪(MODIS)地表反射率数据对大气校正结果进行验证。结果表明,经过大气校正后的地物光谱曲线更接近实测光谱曲线,与MODIS地表反射率产品相比,快速大气校正结果具有较高的精度和较小误差(±0.04以内),扩大了遥感数据定量化的应用范围。
Abstract
A fast atmospheric correction method is used to eliminate the effects of the atmosphere on electromagnetic wave transmission. Aerosol retrieval and atmospheric correction look-up tables are constructed based on the atmospheric radiation transmission model. Aerosol optical depth (AOD) is derived by the dark target algorithm. The atmospheric correction parameters are calculated by the pixels. Using the visible infrared imaging radiometer suite (VIIRS) data on a new polar-orbiting operational environmental satellite, we analyze the difference of vegetation reflectance and water reflectance, and the change of normalized difference vegetation index before and after atmospheric correction. In addition, the results of the fast atmospheric correction are also verified by the measured spectral data and moderate resolution imaging spectroradiometer (MODIS)surface albedo data. The verified results show that the spectral curve of ground object after the atmospheric correction is closer to the measured spectral curve. Compared with MODIS surface reflectance products, the fast atmospheric correction is of high accuracy, and the error is less than ±0.04, so it has more quantitative applications of remote sensing data.

吉长东, 孙道中, 马传宁. 基于6S模型NPP VIIRS数据快速大气校正及精度评估[J]. 激光与光电子学进展, 2018, 55(8): 080101. Ji Changdong, Sun Daozhong, Ma Chuanning. NPP VIIRS Data Fast Atmospheric Correction and Accuracy Evaluation Based on 6S Model[J]. Laser & Optoelectronics Progress, 2018, 55(8): 080101.

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