基于Landsat 8 OLI可见光波段反演陆地气溶胶光学厚度
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摘要
为解决目前城市上空气溶胶光学厚度反演中城市地表复杂与卫星分辨率较低的问题,提出一种改进的反演算法。首先利用波段修正后的MODIS(moderate resolution imaging spectroradiometer)地表反射率产品探究了城市区与非城市区在红、蓝波段地表反射率的比值统计关系,然后运用6S辐射传输模型构建查找表反演获得北京及其周边地区的AOD分布。通过AERONET(aerosolrobotic network)观测数据验证算法的反演精度,利用相对平均偏差RMB、平均绝对误差MAE、平均相对误差MRE、均方根误差RMSE和相关系数R共5个指标进行衡量,结果表明:反演结果与AERONET观测数据具有较高的一致性,5个观测站点的R都大于0.95,MAE范围为0.037～0.065,MRE范围为24.08%～39.54%,RMSE范围为0.047～0.083,RMB范围为0.86～1.452,且所有观测点对中有超过84%满足MODIS气溶胶产品的误差精度要求,说明算法对获取高分辨率城市地区的AOD具有较好的可行性。
A modified retrieval algorithm was proposed to overcome low spatial resolutions and high reflectance during the process of aerosol optical depth(AOD) retrieval in urban areas. First, the ratio of reflectance between red and blue bands in urban and non-urban areas was studied using MODIS reflectance products following band correction. Then, the 6 S radiation transfer model was utilized to build lookup tables for the retrieval of AOD over Beijing and its surrounding areas. Ground-based AERONET observations from five sites(Beijing, Beijing_CAMS, Beijing_RADI, Beijing_PKU, and Xianghe) were used to validate the retrieved AOD. The results showed that the correlation coefficients were all above 0.95, the mean absolute error was from 0.037 to 0.065, the mean relative error was from 24.08% to 39.54%, the root mean square error was from 0.047 to 0.083, and the relative mean bias was from 0.86 to 1.452. In addition, more than 84% of the inversion results met the error accuracy requirements for MODIS aerosol products. The study concluded that the algorithm is effective at obtaining AOD in high-resolution urban areas
A modified retrieval algorithm was proposed to overcome low spatial resolutions and high reflectance during the process of aerosol optical depth(AOD) retrieval in urban areas. First, the ratio of reflectance between red and blue bands in urban and non-urban areas was studied using MODIS reflectance products following band correction. Then, the 6 S radiation transfer model was utilized to build lookup tables for the retrieval of AOD over Beijing and its surrounding areas. Ground-based AERONET observations from five sites(Beijing, Beijing_CAMS, Beijing_RADI, Beijing_PKU, and Xianghe) were used to validate the retrieved AOD. The results showed that the correlation coefficients were all above 0.95, the mean absolute error was from 0.037 to 0.065, the mean relative error was from 24.08% to 39.54%, the root mean square error was from 0.047 to 0.083, and the relative mean bias was from 0.86 to 1.452. In addition, more than 84% of the inversion results met the error accuracy requirements for MODIS aerosol products. The study concluded that the algorithm is effective at obtaining AOD in high-resolution urban areas
引文
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[16]孙林,于会泳,傅俏燕,等.地表反射率产品支持的GF-1PMS气溶胶光学厚度反演及大气校正[J].遥感学报,2016,20(2):216-228.SUN Lin,YU Huiyong,FU Qiaoyan,et al.Aerosol optical depth retrieval and atmospheric correction application for GF-1 PMSsupported by land surface reflectance data[J].Journal of Remote Sensing,2016,20(2):216-228.
[17]Kaufman Y J,TanréD,Remer L A,et al.Operational remote sensing of tropospheric aerosol over the land from EOS-MODIS[J].Journal of Geophysical Research Atmospheres,1997,102(27):17051-17067.
[18]Goloub P,TanréD,DeuzéJ L,et al.Validation of the first algorithm applied for deriving the aerosol properties over the ocean using the POLDER/ADEOS measurements[J].IEEE Transactions on Geoscience&Remote Sensing,1999,37(3):1586-1596.
[19]Liou K N.An Introduction to Atmospheric Radiation[M].Version2.USA:ACADEMIC PRESS,2002:55.
[2]李成才,毛节泰,刘启汉,等.MODIS卫星遥感气溶胶产品在北京市大气污染研究中的应用[J].中国科学(D辑:地球科学),2005(S1):177-186.LI Chencai,MAO Jietai,LIU Qihan,et al.Application of MODIS aerosol products in air pollution research in Beijing[J].Scientia Sinica(Terrae),2005(S1):177-186.
[3]仲波.大气气溶胶光学厚度遥感反演与遥感图像大气校正[D].北京:中国科学院研究生院(遥感应用研究所),2004.ZHONG Bo.Atmospheric Aerosol optical depth remote sensing inversion algorithm and remote sensing image atmospheric correction[D].Beijing:Institute of remote sensing and digital earth Chinese academy of sciences,2004.
[4]陈良富,李莘莘,陶金花,等.气溶胶遥感定量反演研究与应用[M].北京:科学出版社,2011:11,16-17.CHEN Liangfu,LI Zizi,TAO Jinhua,et al.Quantitative Inversion and Application of Aerosol Remote Sensing[M].Beijing:Science Press,2011:11,16-17.
[5]Kaufman Y J,Sendra C.Algorithm for automatic atmospheric corrections to visible and near-IR satellite imagery[J].International Journal of Remote Sensing,1988,9(8):1357-1381.
[6]TanréD,Devaux C,Herman M,et al.Radiative properties of desert aerosols by optical ground‐based measurements at solar wavelengths[J].Journal of Geophysical Research Atmospheres,1988,93(D11):14223-14231.
[7]Herman M,Deuzé,J L,Devaux C,et al.Remote sensing of aerosols over land surfaces including polarization measurements and application to POLDER measurements[J].Journal of Geophysical Research Atmospheres,1997,102(D14):17039-17049
[8]Hsu N C,Tsay S C,King M D,et al.Aerosol properties over bright-reflecting source regions[J].IEEE Transactions on Geoscience and Remote Sensing,2004,42(3):557-569.
[9]郭强,唐家奎,何文通,等.利用MODIS可见光波段反演陆地气溶胶光学厚度[J].地理与地理信息科学,2015,31(2):38-43,127.GUO Qiang,TANG Jiakui,HE Wentong,et al.Aerosol optical depth retrieval over land using MODIS visible bands imagery[J].Geography and Geo-Information Science,2015,31(2):38-43,127.
[10]田信鹏,孙林,刘强,等.北京地区Landsat 8 OLI高空间分辨率气溶胶光学厚度反演[J].遥感学报,2018,22(1):51-63.TIAN Xinpeng,SUN Lin,LIU Qiang,et al.Retrieval of high-resolution aerosol optical depth using Landsat 8 OLI data over land[J].Journal of Remote Sensing,2018,22(1):51-63.
[11]Flowerdew,R J,Haigh J D.An approximation to improve accuracy in the derivation of surface reflectances from multi-look satellite radiometers[J].Geophysical Research Letters,1995,22(13):1693-1696.
[12]Levy R C,Remer L A,TanréD,et al.Algorithm for remote sensing of tropospheric aerosol over dark targets from MODIS Collection 005 and051[M].MODIS Algorithm Theoretical Basis Document,2009:43.
[13]Vermote E F,TanréD,DeuzéJ L,et al.Second Simulation of the Satellite Signal in the Solar Spectrum,6S:an overview[J].IEEETransactions on Geoscience&Remote Sensing,1997,35(3):675-686.
[14]SUN L,SUN C K,LIU Q H,et al.Aerosol optical depth retrieval by HJ-1/CCD supported by MODIS surface reflectance data[J].Science China Earth Sciences,2010,53(1):74-80.
[15]王中挺,厉青,王桥,等.利用深蓝算法从HJ-1数据反演陆地气溶胶[J].遥感学报,2012,16(3):596-610.WANG Zhongting,LI Qing,WANG Qiao,et al.HJ-1 terrestrial aerosol data retrieval using deep blue algorithm[J].Journal of Remote Sensing,2012,16(3):596-610.
[16]孙林,于会泳,傅俏燕,等.地表反射率产品支持的GF-1PMS气溶胶光学厚度反演及大气校正[J].遥感学报,2016,20(2):216-228.SUN Lin,YU Huiyong,FU Qiaoyan,et al.Aerosol optical depth retrieval and atmospheric correction application for GF-1 PMSsupported by land surface reflectance data[J].Journal of Remote Sensing,2016,20(2):216-228.
[17]Kaufman Y J,TanréD,Remer L A,et al.Operational remote sensing of tropospheric aerosol over the land from EOS-MODIS[J].Journal of Geophysical Research Atmospheres,1997,102(27):17051-17067.
[18]Goloub P,TanréD,DeuzéJ L,et al.Validation of the first algorithm applied for deriving the aerosol properties over the ocean using the POLDER/ADEOS measurements[J].IEEE Transactions on Geoscience&Remote Sensing,1999,37(3):1586-1596.
[19]Liou K N.An Introduction to Atmospheric Radiation[M].Version2.USA:ACADEMIC PRESS,2002:55.
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