基于HJ-1卫星数据反演长江三角洲地区气溶胶光学厚度  

Retrieval of Aerosol Optical Depth Using HJ-1 Data over the Yangtze River Delta

作　　者：张璐[1,2] 施润和[1,2] 李龙[1,2] 

机构地区：[1]华东师范大学地理信息科学教育部重点实验室,上海200241 [2]华东师范大学环境遥感与数据同化联合实验室,上海200241

出　　处：《遥感技术与应用》2016年第2期290-296,共7页Remote Sensing Technology and Application

基　　金：上海市科委重点支撑项目(13231203804);国家自然科学基金项目(41201358)

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。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-1A and HJ-1B have good correlations with MODIS AOD products, and the retrieved values are generally higher. Compared with ground-based measurements from AERONET, the differences were be tween 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 ap plication 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.

关 键 词：气溶胶光学厚度 反演 HJ-1卫星 长江三角洲 

分 类 号：X513[环境科学与工程—环境工程] P407[天文地球—大气科学及气象学]