基于改进算法的HJ-1气溶胶厚度反演研究  

Study on HJ-1 Aerosol Thickness Inversion Based on the Improved Algorithm

作　　者：金健 JIN Jian(Guangxi Institute of Natural Resources Survey and Monitoring,Nanning 530023,China)

机构地区：[1]广西自然资源调查监测院,广西南宁530023

出　　处：《地理空间信息》2022年第3期55-58,共4页Geospatial Information

摘　　要：提出了在HJ-1 CCD自带卫星观测角度数据的基础上,结合卫星自带几何解算参数推算连续像元的太阳天顶角、方位角,并将原始卫星观测角度、推算几何角度数据生成对应四波段合成数据的改进算法,以提高反演数据的精度。结合Kaufman暗目标法和改进算法后对应连续像元几何数据的6S模型调用表,对南宁市中心城区2018年8月、9月、10月的HJ-1CCD数据进行了气溶胶光学厚度反演。研究结果表明:经过改进算法的HJ-1 CCD数据具有较高的气溶胶反演精度,与ARONET地面监测数据的相关系数为0.779;与同时段的MODIS气溶胶反演结果相比,其具有更高的反演精度;与南宁市环境监测站的PM_(2.5)观测数据进行相关性分析,线性相关系数与多项式相关系数均为0.937,初步表明可利用HJ-1CCD数据反演的气溶胶成果对PM_(2.5)的时空分布进行研究。We proposed an improved algorithm based on the HJ-1 CCD satellite observation angle data to calculate the solar zenith angle and azi⁃muth angle of continuous image elements in combination with satellite geometric solution parameters,and used original satellite observation angle and computed geometric angle data to generate the corresponding four-band composite data,which could improve inversion data accuracy.Combin⁃ing Kaufman dark target method and 6S model call table corresponding to continuous image element geometry data after the improved algorithm,we carried out aerosol optical thickness inversion on the HJ-1 CCD data of the central Nanning urban area in August,September and October 2018.The results show that①the HJ-1 CCD data with improved algorithm has high aerosol inversion accuracy and the correlation coefficient is 0.779.②The MODIS aerosol inversion result is higher than that of the same period.③The correlation analysis was conducted with PM_(2.5) observation data from Nanning Environmental Monitoring Station.The linear and polynomial correlation coefficients are both 0.937.The aerosol inversion results from HJ-1CCD data can be used to study PM_(2.5) spatio-temporal distribution.

关 键 词：HJ-1CCD 连续像元 改进算法 气溶胶光学厚度反演 

分 类 号：P237[天文地球—摄影测量与遥感]