利用GF-4 PMS数据反演城市地区气溶胶光学厚度
|
摘要
高分四号是我国发射的第一颗地球同步轨道卫星,具有较高的空间分辨率及快速重复成像能力,在城市大气环境的高动态监测方面拥有较大的应用潜力。针对城市地区地表反射率高、地表类型复杂,传统的单一算法较难实现大气气溶胶光学厚度有效反演等问题,以北京市为研究区,使用了一种暗目标法和地表反射率数据库相结合的方法,分别对2017年5月25日和10月5日两个时相的气溶胶光学厚度进行了估算。结果表明,该方法能够有效实现城市暗目标区和亮目标区的气溶胶反演,且与MODIS标准陆地气溶胶产品及AERONET站点地面观测数值较为一致,相关系数超过了0.9。
GF-4 is the first geosynchronous orbit satellite launched in China,which has high spatial resolution and fast repetitive imaging ability,and has great application potential in the high dynamic monitoring on urban atmospheric environment.Due to the high surface reflectivity and complex surface types in urban areas,it is difficult to implement the effective inversion of atmospheric aerosol optical depth(AOD) by a single algorithm.In this paper,a method of combining dark target algorithm with surface reflectence database was used for Beijing city to estimate the aerosol optical thickness on May 25 and October 5,2017,respectively.The results show that this method can effectively retrieve the urban AOD of dark target area and bright target area,the retrieved AOD has a good correlation with MODIS standard land aerosol products(MOD04) and AERONET ground observation data,and the correlation coefficients reach more than 0.9.
GF-4 is the first geosynchronous orbit satellite launched in China,which has high spatial resolution and fast repetitive imaging ability,and has great application potential in the high dynamic monitoring on urban atmospheric environment.Due to the high surface reflectivity and complex surface types in urban areas,it is difficult to implement the effective inversion of atmospheric aerosol optical depth(AOD) by a single algorithm.In this paper,a method of combining dark target algorithm with surface reflectence database was used for Beijing city to estimate the aerosol optical thickness on May 25 and October 5,2017,respectively.The results show that this method can effectively retrieve the urban AOD of dark target area and bright target area,the retrieved AOD has a good correlation with MODIS standard land aerosol products(MOD04) and AERONET ground observation data,and the correlation coefficients reach more than 0.9.
引文
[1] Fan Yida,Wu Wei.GF-4 Satellite Launches Succes and Helps Disaster Prevention and Mitigation[J].China Disaster Reduction,2016(3):20-51.[范一大,吴玮.“高分四号”发射成功助力防灾减灾事业[J].中国减灾,2016(3):50-51.]
[2] Ma Feng,Sun Xu,Gao Lianru,et al.Analysis of Orthorectification Accuracy of “High Score 4” Satellite[J].Aerospace Return and Remote Sensing,2019,40(1):74-82.[马冯,孙旭,高连如,付晨罡.“高分四号”卫星正射校正精度分析[J].航天返回与遥感,2019,40(1):74-82.]
[3] Tanré D,Deschamps P Y,Devaux C,et al.Estimation of Saharan Aerosol Optical Thickness from Blurring Effects in Thematic Mapper Data[J].Journal Geophys.Res,1988,93:15955-15964.
[4] Yoram J.Kaufman,Claudia Sendra.Algorithm for Automatic Atmospheric Corrections to Visible and Near-IR Satellite Imagery.[J]International Journal of Remote Sensing,1988,9:1357-1381.
[5] Liu Yujie.MODIS Remote Sensing Information Processing Principle and Algorithm[M].Beijing:Science Press,2001.[刘玉洁等编著.MODIS遥感信息处理原理与算法[M].北京:科学出版社,2001.]
[6] Li Chengcai.MODIS Remote Sensing Aerosol Optical Thickness and Its Application to Regional Atmosphericpollution[D].Beijing:Peking University,2002.[李成才.MODIS遥感气溶胶光学厚度及应用于区域环境大气污染研究[D].北京:北京大学,2002.]
[7] TanréD,Devaux C,Herman M,et al.Radiative Properties of Desert Aerosols by Optical Ground based Measurements at Solar Wavelengths[J].Journal Geophys Res,1988,93:14223-14231.
[8] Holben B,Vermote N E,Kaufman Y J,et al.Aerosol Retrieval over Land from AVHRR Data-Application for Atmospheric Correction[J].IEEE Transactions on Geoscience and Remote Sensing,1992,30:212-222.
[9] Hsu C N,Tsay S C,King M D,et al.Aerosol Properties over Brightreflecting[J].IEEE Transactions on Geoscience and Remote Sensing,2004,42(3):557-569.
[10] Sun Lin.Remote Sensing Retrieval of Atmospheric Aerosols in Urban Areas[D].Beijing:Graduate School of Chinese Academy of Sciences,2006.[孙林.城市地区大气气溶胶遥感反演研究[D].北京:中国科院研究生院,2006.]
[11] Hsu N C,Jeong M J,Betten Hausen C.Enhanced Deep Blue Aerosol Retrieval Algorithm:The Second Generation[J].Journal of Geophysical Research:Atmospheres,2013(118):9296-9315.
[12] Wang Zhongting,Li Qing,Wang Qiao,et al.HJ-1 Terrestrial Aerosols Data Retrieval Using Deep Blue Algorithm[J].Journal of Remote Sensing,2012,(3):596-610.[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,(3):596-610.]
[13] Sun Lin,Liu Qinhuo,Liu Qiang,et al.Aerosol Optical Depth Retrieving over Bright Surface:Progress and Prospect[J].Progress in Geography,2006(3):70-78.[孙林,柳钦火,刘强,等.高反射率地区气溶胶光学厚度遥感反演:现状及展望[J].地理科学进展,2006(3):70-78.]
[14] Cao Yongxing,Xue Zhihang.Review of the Urban Aerosol Retrieval Research based on High-resolution Images[J].Remote Sensing for Land and Resources,2016,28(3):1-6.[曹永兴,薛志航.基于高分辨率影像的城市地区气溶反演研究述评[J].国土资源遥感,2016,28(3):1-6.]
[15] Remer L A,Kaufman Y J,Tanre D,et al.The MODIS Aerosol Data Algorithm,Products,and Validation[J].Journal of Remote Sensing,2012,62:947-976.
[16] Levy R,Remer L,Tanre D,et al.Algorithm for Remote Sensing of Tropospheric Aerosol over Dark Target from MODIS:Collections 005 and 051:Revision 2[DB/OL].MODIS Algorithm Theoretical Basis Document,2009.
[17] Sun Lin,Yu Huiying,Fu Qiaoyan,et al.Aerosol Optical Depth Retrieval and Atmospheric Correction Application for GF-1 PMS Supported by Surface Reflectance Data[J].Journal of Remote Sensing,2016,20(2):216-228.[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.]
[18] Wang Mi,Cheng Yufeng,Chang Xueli,et al.High Accuracy Onorbit Geometric Calibration of High-resolution of Geostationary Satellites GF4[J].Acta Geodaeticaet Cartographica Sinica,2017,46(1):53-61.[王密,程宇峰,常学立,等.高分四号静止轨道卫星高精度在轨几何定标[J].测绘学报,2017,46(1):53-61.]
[19] Liu Y H.Ackerman S A,Maddux B C.et al.Errors in Cloud Detection over the Arctic Using a Satellite Imager and Implications for Observing Feedback Mechanisms[J].Journal of Climate,23(7):1894-1907.
[20] Remer L A,Mattoo S,Levy R C,et al.MODIS 3 km Aerosol Product:Algorithm and Global Perspective[J].Atmospheric Measurement Techniques Discussions,2013,6(1):69-112.
[21] Li Chengcai,Mao Jietai,Liu Qihan,et al.Research on the Air Pollution in Beijing and Its Surrounding with MODIS AOD Products[J].Chinese Journal of Atmospheric Sciences,2003(5):869-880,951-953.[李成才,毛节泰,刘启汉,等.利用MODIS光学厚度遥感产品研究北京及周边地区的大气污染[J].大气科学,2003(5):869-880,951-953.]
[22] Levy R,Remer L,Tanre D,et al.Algorithm for Remote Sensing of Tropospheric Aerosol over Dark Target from MODIS:Collections 005 and 051:Revision 2[DB/OL].Modis Algorithm Theoretical Basis Document,2009.
[2] Ma Feng,Sun Xu,Gao Lianru,et al.Analysis of Orthorectification Accuracy of “High Score 4” Satellite[J].Aerospace Return and Remote Sensing,2019,40(1):74-82.[马冯,孙旭,高连如,付晨罡.“高分四号”卫星正射校正精度分析[J].航天返回与遥感,2019,40(1):74-82.]
[3] Tanré D,Deschamps P Y,Devaux C,et al.Estimation of Saharan Aerosol Optical Thickness from Blurring Effects in Thematic Mapper Data[J].Journal Geophys.Res,1988,93:15955-15964.
[4] Yoram J.Kaufman,Claudia Sendra.Algorithm for Automatic Atmospheric Corrections to Visible and Near-IR Satellite Imagery.[J]International Journal of Remote Sensing,1988,9:1357-1381.
[5] Liu Yujie.MODIS Remote Sensing Information Processing Principle and Algorithm[M].Beijing:Science Press,2001.[刘玉洁等编著.MODIS遥感信息处理原理与算法[M].北京:科学出版社,2001.]
[6] Li Chengcai.MODIS Remote Sensing Aerosol Optical Thickness and Its Application to Regional Atmosphericpollution[D].Beijing:Peking University,2002.[李成才.MODIS遥感气溶胶光学厚度及应用于区域环境大气污染研究[D].北京:北京大学,2002.]
[7] TanréD,Devaux C,Herman M,et al.Radiative Properties of Desert Aerosols by Optical Ground based Measurements at Solar Wavelengths[J].Journal Geophys Res,1988,93:14223-14231.
[8] Holben B,Vermote N E,Kaufman Y J,et al.Aerosol Retrieval over Land from AVHRR Data-Application for Atmospheric Correction[J].IEEE Transactions on Geoscience and Remote Sensing,1992,30:212-222.
[9] Hsu C N,Tsay S C,King M D,et al.Aerosol Properties over Brightreflecting[J].IEEE Transactions on Geoscience and Remote Sensing,2004,42(3):557-569.
[10] Sun Lin.Remote Sensing Retrieval of Atmospheric Aerosols in Urban Areas[D].Beijing:Graduate School of Chinese Academy of Sciences,2006.[孙林.城市地区大气气溶胶遥感反演研究[D].北京:中国科院研究生院,2006.]
[11] Hsu N C,Jeong M J,Betten Hausen C.Enhanced Deep Blue Aerosol Retrieval Algorithm:The Second Generation[J].Journal of Geophysical Research:Atmospheres,2013(118):9296-9315.
[12] Wang Zhongting,Li Qing,Wang Qiao,et al.HJ-1 Terrestrial Aerosols Data Retrieval Using Deep Blue Algorithm[J].Journal of Remote Sensing,2012,(3):596-610.[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,(3):596-610.]
[13] Sun Lin,Liu Qinhuo,Liu Qiang,et al.Aerosol Optical Depth Retrieving over Bright Surface:Progress and Prospect[J].Progress in Geography,2006(3):70-78.[孙林,柳钦火,刘强,等.高反射率地区气溶胶光学厚度遥感反演:现状及展望[J].地理科学进展,2006(3):70-78.]
[14] Cao Yongxing,Xue Zhihang.Review of the Urban Aerosol Retrieval Research based on High-resolution Images[J].Remote Sensing for Land and Resources,2016,28(3):1-6.[曹永兴,薛志航.基于高分辨率影像的城市地区气溶反演研究述评[J].国土资源遥感,2016,28(3):1-6.]
[15] Remer L A,Kaufman Y J,Tanre D,et al.The MODIS Aerosol Data Algorithm,Products,and Validation[J].Journal of Remote Sensing,2012,62:947-976.
[16] Levy R,Remer L,Tanre D,et al.Algorithm for Remote Sensing of Tropospheric Aerosol over Dark Target from MODIS:Collections 005 and 051:Revision 2[DB/OL].MODIS Algorithm Theoretical Basis Document,2009.
[17] Sun Lin,Yu Huiying,Fu Qiaoyan,et al.Aerosol Optical Depth Retrieval and Atmospheric Correction Application for GF-1 PMS Supported by Surface Reflectance Data[J].Journal of Remote Sensing,2016,20(2):216-228.[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.]
[18] Wang Mi,Cheng Yufeng,Chang Xueli,et al.High Accuracy Onorbit Geometric Calibration of High-resolution of Geostationary Satellites GF4[J].Acta Geodaeticaet Cartographica Sinica,2017,46(1):53-61.[王密,程宇峰,常学立,等.高分四号静止轨道卫星高精度在轨几何定标[J].测绘学报,2017,46(1):53-61.]
[19] Liu Y H.Ackerman S A,Maddux B C.et al.Errors in Cloud Detection over the Arctic Using a Satellite Imager and Implications for Observing Feedback Mechanisms[J].Journal of Climate,23(7):1894-1907.
[20] Remer L A,Mattoo S,Levy R C,et al.MODIS 3 km Aerosol Product:Algorithm and Global Perspective[J].Atmospheric Measurement Techniques Discussions,2013,6(1):69-112.
[21] Li Chengcai,Mao Jietai,Liu Qihan,et al.Research on the Air Pollution in Beijing and Its Surrounding with MODIS AOD Products[J].Chinese Journal of Atmospheric Sciences,2003(5):869-880,951-953.[李成才,毛节泰,刘启汉,等.利用MODIS光学厚度遥感产品研究北京及周边地区的大气污染[J].大气科学,2003(5):869-880,951-953.]
[22] Levy R,Remer L,Tanre D,et al.Algorithm for Remote Sensing of Tropospheric Aerosol over Dark Target from MODIS:Collections 005 and 051:Revision 2[DB/OL].Modis Algorithm Theoretical Basis Document,2009.