基于高分五号DPC数据的细模态气溶胶光学厚度反演  被引量:2

Retrieval of Fine-mode Aerosol Optical Depth based on Multi-Angle Polarization Data of GF-5 Satellite

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作  者:王永前 何孟琦[2] 张洋 杨世琦[1] 高阳华 Wang Yongqian;He Mengqi;Zhang Yang;Yang Shiqi;Gao Yanghua(Chongqing Institute of Meteorological Sciences,Chongqing 401147,China;Chengdu University of Information Technology,College of Resources and Environment,Chengdu 610225,China)

机构地区:[1]重庆市气象科学研究所,重庆401147 [2]成都信息工程大学资源环境学院,四川成都610225

出  处:《遥感技术与应用》2022年第2期451-459,共9页Remote Sensing Technology and Application

基  金:国家自然科学基金项目(41901294);重庆市自然科学基金项目(cstc2019jcyj⁃msxm0726)。

摘  要:偏振遥感技术监测细模态气溶胶光学物理特性的优势,是监测大区域大气污染的有效手段。基于高分五号(GF-5)携带的多角度偏振成像仪(DPC)的多角度偏振观测数据开展全球陆地上空的细模态气溶胶光学厚度(AODf)反演研究。主要通过地表二向偏振反射(BPDF)模型估算出地表偏振反射率,结合评价函数得出了最优气溶胶模型以及AODf反演结果,将反演结果与AERONET地基观测数据进行了对比验证。结果显示:地基数据与反演结果相关性系数达到0.903,平均绝对误差,平均相对误差、均方根误差分别为0.026、0.43%、0.060,反演结果总体可靠,反演方法具备可行性。With the intensive study of global climate change,the monitoring of atmospheric aerosols have been gradually attracting people's attention.Polarization remote sensing technology has the advantage of observing aerosol microphysical characteristics on a large scale,which serves as an effective means of monitoring and man⁃aging aerosol pollution in large areas.Nowadays,this technique can obtain more dimensional aerosol informa⁃tion,which can solve the problem that traditional ground stations cannot monitor on a large scale.In this paper,the retrieval of fine-mode aerosol optical(AODf)is performed,based on the multi-angle,multi-band,polar⁃ization and intensity measurements from Directional Polarimetric Camera(DPC)onboard GF-5 satellite.The ground surface bidirectional polarization distribution function(BPDF)model was used to estimate the polarized ground surface reflectance,and the AODf is retrieved with the Look-Up Table(LUT)method.The compari⁃son between the retrieval results and the Aerosol Robotic Network(AERONET)ground-based observation da⁃ta produced a correlation coefficient(r)of 0.903,90%of the errors are concentrated between 0.0~0.3,the Mean Absolute Error(MAE),the Mean Relative Error(MRE)and the Root Mean Square Error(RMSE)are 0.026,0.43%and 0.060,respectively,which proves the retrieval results are generally reliable and the retrieval method is feasible.

关 键 词:偏振遥感 细模态气溶胶 多角度偏振成像仪 光学厚度 

分 类 号:P407[天文地球—大气科学及气象学]

 

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