【摘要】 探索利用我国HJ-1卫星CCD数据,运用深蓝算法开展长江三角洲地区气溶胶光学厚度反演的可行性,并将结果与其他气溶胶光学厚度产品进行比较。针对HJ-1A和HJ-1B数据,反演结果分别与MODIS气溶胶光学厚度产品以及AERONET地基观测数据进行对比验证。结果表明:深蓝算法得到A星、B星的反演结果与MODIS气溶胶产品呈显著相关,但在数值上普遍高于MODIS产品;反演结果与AERONET站点数据之间的误差介于0.008~0.364之间,研究时段内站点数据缺乏,未对误差进行严格的统计分析。基于深蓝算法的HJ-1卫星数据反演结果虽然在数值上与MODIS气溶胶光学厚度产品存在系统性偏差,但在空间上能够较好地反映长江三角洲地区大气气溶胶分布状况,且具有空间分辨率高的优势。更多还原

【Abstract】 Aerosol Optical Depth is an important index in atmosphere monitoring.The distribution of AOD has a great practical significance for pollution control.Based on deep blue algorithm,AOD were retrieved from HJ-1/CCD over the Yangtze River Delta and validated by other AOD products.The retrieved results from HJ-1Aand HJ-1Bhave good correlations with MODIS AOD products,and the retrieved values are generally higher.Compared with ground-based measurements from AERONET,the differences were between 0.008 and 0.364.Due to a lack of corresponding AERONET data,rigorous statistical analysis of the differences between them were ignored.Although there were systematic bias between the retrieved AOD and MODIS AOD products,monitoring AOD with HJ-1/CCD using the deep blue algorithm has a good application prospect.The retrieved data can reflect the distribution of AOD over Yangtze River Delta very well,which has a higher spatial resolution than MODIS AOD products.更多还原