Advanced Search
Impact Factor: 5.8

Volume 31 Issue 4

May  2014

Article Contents
Article >  ADVANCES IN ATMOSPHERIC SCIENCES  > 2014 >  31(4): 879-887

Retrieval of Aerosol Optical Properties over a Vegetation Surface Using Multi-angular, Multi-spectral, and Polarized data

  • 1.

    Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031

  • 2.

    Key Laboratory of Optical Calibration and Characterization, Chinese Academy of Sciences, Hefei 230031

  • 3.

    University of Chinese Academy of Sciences, Beijing 100049

Fund Project:

doi: 10.1007/s00376-013-3100-5

  • An algorithm to retrieve aerosol optical properties using multi-angular, multi-spectral, and polarized data without a priori knowledge of the land surface was developed. In the algorithm, the surface polarized reflectance was estimated by eliminating the atmospheric scattering from measured polarized reflectance at 1640 nm. A lookup table (LUT) and an iterative method were adopted in the algorithm to retrieve the aerosol optical thickness (AOT, at 665 nm) and theAngstrom exponent (computed between the AOTs at 665 and 865 nm). Experiments were performed in Tianjin to verify the algorithm. Data were provided by a newly developed airborne instrument, the Advanced Atmosphere Multi-angle Polarization Radiometer (AMPR). The AMPR measurements over the target field agreed well with the nearby ground-based sun photometer. An algorithm based on Research Scanning Polarimeter (RSP) measurements was introduced to validate the observational measurements along a flight path over Tianjin. The retrievals were consistent between the two algorithms. The AMPR algorithm shows potential in retrieving aerosol optical properties over a vegetation surface.
    摘要: An algorithm to retrieve aerosol optical properties using multi-angular, multi-spectral, and polarized data without a priori knowledge of the land surface was developed. In the algorithm, the surface polarized reflectance was estimated by eliminating the atmospheric scattering from measured polarized reflectance at 1640 nm. A lookup table (LUT) and an iterative method were adopted in the algorithm to retrieve the aerosol optical thickness (AOT, at 665 nm) and the ?ngstr?m exponent (computed between the AOTs at 665 and 865 nm). Experiments were performed in Tianjin to verify the algorithm. Data were provided by a newly developed airborne instrument, the Advanced Atmosphere Multi-angle Polarization Radiometer (AMPR). The AMPR measurements over the target field agreed well with the nearby ground-based sun photometer. An algorithm based on Research Scanning Polarimeter (RSP) measurements was introduced to validate the observational measurements along a flight path over Tianjin. The retrievals were consistent between the two algorithms. The AMPR algorithm shows potential in retrieving aerosol optical properties over a vegetation surface.
  • Bréon, F. M.,J. L. Deuzé,D. Tanré, and M. Herman, 1997: Validation of spaceborne estimates of aerosol loading from Sun photometer measurements with emphasis on polarization. J. Geophys. Res., 102, 17187-17195.
    Brunekreef, B., and S. T. Holgate, 2002: Air pollution and health. The Lancet, 360(9341),1233-1242.
    Bohren, C. F., and D. R. Huffman, 1983: Absorption and Scattering of Light by Small Particles. John Wiley, New York, 448 pp.
    Cairns, B.,L. D. Travis, and E. E. Russell, 1997: Polarization: Ground-based upward-looking and aircraft/satellite-based downward-looking measurements. Proc. SPIE, Vol. 3220, Satellite Remote Sensing of Clouds and the Atmosphere II, 103 (January 1, 1997), doi: 10.1117/12.301140.
    Cairns, B.,B. E. Carlson,R. X. Ying,A. A. Lacis, and V. Oinas, 2003: Atmospheric correction and its application to an analysis of Hyperion data. IEEE Trans. Geosci. Remote Sens., 41(6),1232-1245.
    Cheng, T. H.,X. F. Gu,D. H. Xie,Z. Q. Li,T. Yu, and X. F. Chen, 2011: Simultaneous retrieval of aerosol optical properties over the Pearl River Delta, China using multi-angular, multi-spectral, and polarized measurements. Remote Sens. Environ., 115, 1643-1652.
    Chowdhary, J.,B. Cairns, and L. Travis, 2002: Case studies of aerosol retrievals over the ocean from multiangle, multispectral photopolarimetric remote sensing data. J. Atmos. Sci., 59(3),383-397.
    Chowdhary, J., and Coauthors, 2005: Retrieval of aerosol scattering and absorption properties from photopolarimetric observations over the ocean during the CLAMS experiment. J. Atmos. Sci., 62, 1093-1117, doi: 10.1175/JAS3389.1.
    Dai, T.,D. Goto,N. A. J. Schutgens,X. Dong,G. Shi, and T. Nakajima, 2014: Simulated aerosol key optical properties over global scale using an aerosol transport model coupled with a new type of dynamic core. Atmos. Environ., 82, 71-82.
    Deuzé, J. L.,F. M. Bréon,P. Y. Deschamps,C. Devaux,M. Herman,A. Podaire, and J. L. Roujean, 1993: Analysis of POLDER (POLarization and Directionality of Earth's Reflectances) airborne instrument observations over land surfaces. Remote Sens. Environ., 45, 137-154.
    Deuzé, J. L., and Coauthors, 2001: Remote sensing of aerosols over land surfaces from POLDER-ADEOS-1 polarized measurements. J. Geophys. Res., 106, 4913-4926.
    Diner, D. J.,J. V. Martonchik,R. A. Kahn,B. Pinty,N. Gobron,D. L. Nelson, and B. N. Holben, 2005: Using angular and spectral shape similarity constraints to improve MISR aerosol and surface retrievals over land. Remote Sens. Environ., 94, 155-171.
    Duan, A. M.,G. X. Wu,Y. M. Liu,Y. M. Ma, and P. Zhao, 2012: Weather and climate effects of the Tibetan Plateau. Adv. Atmos. Sci., 29(5),978-992, doi: 10.1007/s00376-012-1220-y.
    Dubovik, O., and M. D. King, 2000: A flexible inversion algorithm for retrieval of aerosol optical properties from Sun and sky radiance measurements. J. Geophys. Res., 105, 20 673-20 696.
    Dubovik, O., and Coauthors, 2011: Statistically optimized inversion algorithm for enhanced retrieval of aerosol properties from spectral multi-angle polarimetric satellite observations. Atmospheric Measurement Techniques Discussions, 3, 4967-5077.
    Grainger, R. G.,J. Lucas,G. E. Thomas, and G. B. Ewen, 2004: Calculation of Mie derivatives. Appl. Opt., 43, 5386-5393.
    Hansen, J. E.,M. Sato,A. Lacis,R. Ruedy,I. Tegen, and E. Matthews, 1998: Climate forcings in the industrial era. Proceedings of the National Academy of Sciences of the United States of America, 95, 12 753-12 758.
    Hasekamp, O.,P. Litvinov, and B. André, 2011: Aerosol properties over the ocean from PARASOL multiangle photopolarimetric measurements. J. Geophys. Res., 116, D14204, doi: 10.1029/2010JD015469.
    Hauser, A.,D. Oesch,N. Foppa, and S. Wunderle, 2005: NOAA AVHRR derived aerosol optical depth over land. J. Geophys. Res., 110, D08204. doi: 10.1029/2004JD005439.
    Haywood, J. and O. Boucher, 2000: Estimates of the direct and indirect radiative forcing due to tropospheric aerosols: a review. Rev. Geophys., 38, 513-544.
    Knobelspiesse, K. D.,B. Cairns,B. Schmid,M. O. Román, and C. B. Schaaf, 2008: Surface BRDF estimation from an aircraft compared to MODIS and ground estimates at the Southern Great Plains site. J. Geophys. Res., 113, D20105, doi: 10.1029/2008JD010062.
    Lafrance, B., 1997: Simplified model of the polarized light emerging from the atmosphere. Correction of the stratospheric aerosol impact on POLDER measurements. Ph. D. dissertation,Université des Sciences et Techniques de Lille,France. (in French)
    Lenoble, J.,M. Herman,J. L. Deuzé,B. Lafrance,R. Santer, and D. Tanré, 2007: A successive order of scattering code for solving the vector equation of transfer in the earth's atmosphere with aerosols. Journal of Quantitative Spectroscopy and Radiative Transfer, 107(3),479-507.
    Li,Z. Q,P. Golouba,C. Devaux,X. F. Gu,J. L. Deuzé,Y. L. Qiao, and F. S. Zhao, 2006: Retrieval of aerosol optical and physical properties from ground-based spectral, multi-angular, and polarized sun-photometer measurements. Remote Sens. Environ., 101(4),519-533.
    Mishchenko, M. I., and L. D. Travis, 1997: Satellite retrieval of aerosol properties over the ocean using polarization as well as intensity of reflected sunlight. J. Geophys. Res., 102, 16 989-17 013.
    Nadal, F., and F. M. Bréon, 1999: Parameterization of surface polarized reflectance derived from POLDER spaceborne measurements. IEEE Trans. Geosci. Remote Sens., 37, 1709-1718.
    Remer, L. A., and Coauthors, 2005: The MODIS aerosol algorithm, products, and validation. J. Atmos. Sci., 62(4),947-973.
    Song, M. X.,B. Sun,X. B. Sun, and J. Hong, 2012: Polarization calibration of airborne multi-angle polarimetric radiometer. Optics and Precision Engineering, 20(6),1153-1158. (in Chinese)
    Wang, X. H.,J. Hong,Y. L. Qiao,F. G. Meng,Y. J. Zhang, and P. Gong, 2005: Retrieval of aerosol optical thickness with dual-angle multispectral means. High Technology Letters, 15(9),101-105. (in Chinese)
    Waquet, F.,J. F. Léon,P. Goloub,J. Pelon,D. Tanré, and J. L. Deuzé, 2005: Maritime and dust aerosol retrieval from polarized and multispectral active and passive sensors. J. Geophys. Res., 110, D10S10, doi: 10.1029/2004JD004839.
    Waquet, F.,P. Goloub,J. L. Deuzé,J. F. Léon,F. Auriol,C. Verwaerde,J. Y. Balois, and P. François, 2007: Aerosol retrieval over land using a multiband polarimeter and comparison with path radiance method. J. Geophys. Res, 112, D11214, doi: 10.1029/2006JD008029.
    Waquet, F.,B. Cairns,K. Knobelspiesse,J. Chowdhary,L. D. Travis,B. Schmid, and M. I. Mishchenko, 2009a: Polarimetric remote sensing of aerosols over land. J. Geophys. Res., 114, D01206, doi: 10.1029/2008JD010619.
    Waquet, F.,J. F. Léon,B. Cairns,P. Goloub,J. L. Deuzé, and F. Auriol, 2009b: Analysis of the spectral and angular response of the vegetated surface polarization for the purpose of aerosol remote sensing over land. Appl. Opt., 48(6),1228-1236.
  • [1] FAN Xuehua, CHEN Hongbin, LIN Longfu, HAN Zhigang, Philippe GOLOUB, 2009: Retrieval of Aerosol Optical Properties over the Beijing Area Using POLDER/PARASOL Satellite Polarization Measurements, ADVANCES IN ATMOSPHERIC SCIENCES, 26, 1099-1107.  doi: 10.1007/s00376-009-8103-x
    [2] HAN Xiao, ZHANG Meigen, ZHU Lingyun, and XU Liren, 2013: Model analysis of influences of aerosol mixing state upon its optical properties in East Asia, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 1201-1212.  doi: 10.1007/s00376-012-2150-4
    [3] CHE Huizheng, ZHANG Xiaoye, Stephane ALFRARO, Bernadette CHATENET, Laurent GOMES, ZHAO Jianqi, 2009: Aerosol Optical Properties and Its Radiative Forcing over Yulin, China in 2001 and 2002, ADVANCES IN ATMOSPHERIC SCIENCES, 26, 564-576.  doi: 10.1007/s00376-009-0564-4
    [4] DAI Tie, SHI Guangyu, Teruyuki NAKAJIMA, 2015: Analysis and Evaluation of the Global Aerosol Optical Properties Simulated by an Online Aerosol-coupled Non-hydrostatic Icosahedral Atmospheric Model, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 743-758.  doi: 10.1007/s00376-014-4098-z
    [5] YU Xingna, ZHU Bin, YIN Yan, FAN Shuxian, CHEN Aijun, 2011: Seasonal Variation of Columnar Aerosol Optical Properties in Yangtze River Delta in China, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 1326-1335.  doi: 10.1007/s00376-011-0158-9
    [6] Qiu Jinhuan, 1995: Two-wavelength Lidar Measurement of Cloud-aerosol Optical Properties, ADVANCES IN ATMOSPHERIC SCIENCES, 12, 177-186.  doi: 10.1007/BF02656830
    [7] Yang Shu, Zhou Xiuji, Zhao Yanzeng, 1986: A THEORETICAL STUDY OF MULTI-WAVELENGTH LIDAR EXPLORATION OF OPTICAL PROPERTIES OF ATMOSPHERIC AEROSOLS, ADVANCES IN ATMOSPHERIC SCIENCES, 3, 23-38.  doi: 10.1007/BF02680043
    [8] Xingmin LI, Yan DONG, Zipeng DONG, Chuanli DU, Chuang CHEN, 2016: Observed Changes in Aerosol Physical and Optical Properties before and after Precipitation Events, ADVANCES IN ATMOSPHERIC SCIENCES, 33, 931-944.  doi: 10.1007/s00376-016-5178-z
    [9] WANG Hong, SHI Guangyu, LI Shuyan, LI Wei, WANG Biao, HUANG Yanbin, 2006: The Impacts of Optical Properties on Radiative Forcing Due to Dust Aerosol, ADVANCES IN ATMOSPHERIC SCIENCES, 23, 431-441.  doi: 10.1007/s00376-006-0431-5
    [10] FAN Xuehua, XIA Xiang'ao, CHEN Hongbin, 2015: Comparison of Column-Integrated Aerosol Optical and Physical Properties in an Urban and Suburban Site on the North China Plain, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 477-486.  doi: 10.1007/s00376-014-4097-0
    [11] Boru MAI, Xuejiao DENG, Zhanqing LI, Jianjun LIU, Xiang'ao XIA, Huizheng CHE, Xia LIU, Fei LI, Yu ZOU, Maureen CRIBB, 2018: Aerosol Optical Properties and Radiative Impacts in the Pearl River Delta Region of China during the Dry Season, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 195-208.  doi: 10.1007/s00376-017-7092-4
    [12] XIN Jinyuan, DU Wupeng, WANG Yuesi, GAO Qingxian, Zhanqing LI, WANG Mingxing, 2010: Aerosol Optical Properties Affected by a Strong Dust Storm over Central and Northern China, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 562-574.  doi: 10.1007/s00376-009-9023-5
    [13] G. Pandithurai, P.C.S. Devara, 1997: Solar Multi-Spectral Radiometric Observations of Atmospheric Optical Thickness over Pasarlapudi Gas Well Blow-Out Site in India, ADVANCES IN ATMOSPHERIC SCIENCES, 14, 417-424.  doi: 10.1007/s00376-997-0061-6
    [14] ZHU Bin, WANG Honglei, SHEN Lijuan, KANG Hanqing, YU Xingna, 2013: Aerosol Spectra and New Particle Formation Observed in Various Seasons in Nanjing, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 1632-1644.  doi: 10.1007/s00376-013-2202-4
    [15] Wang Hongqi, Zhao Gaoxiang, 2002: Parameterization of Longwave Optical Properties for Water Clouds, ADVANCES IN ATMOSPHERIC SCIENCES, 19, 25-34.  doi: 10.1007/s00376-002-0031-y
    [16] ZHANG Renjian, HAN Zhiwei, SHEN Zhenxing, CAO Junji, 2008: Continuous Measurement of Number Concentrations and Elemental Composition of Aerosol Particles for a Dust Storm Event in Beijing, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 89-95.  doi: 10.1007/s00376-008-0089-2
    [17] ZHENG Xiangdong, WAN Guojiang, CHEN Zunyu, TANG Jie, 2008: Measurement and Meteorological Analysis of 7Be and 210Pb in Aerosol at Waliguan Observatory, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 404-416.  doi: 10.1007/s00376-008-0404-y
    [18] Michael Edgeworth McINTYRE, 2017: On Multi-Level Thinking and Scientific Understanding, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 1150-1158.  doi: 10.1007/s00376-017-6283-3
    [19] Zhong Wenyi, Yang Peicai, 1986: THE TRANSITION OF A MULTI-DIMENSIONAL LORENZ SYSTEM, ADVANCES IN ATMOSPHERIC SCIENCES, 3, 289-301.  doi: 10.1007/BF02678650
    [20] Jianguo LIU, Binghao JIA, Zhenghui XIE, Chunxiang SHI, 2016: Ensemble Simulation of Land Evapotranspiration in China Based on a Multi-Forcing and Multi-Model Approach, ADVANCES IN ATMOSPHERIC SCIENCES, 33, 673-684.  doi: 10.1007/s00376-016-5213-0
PDF

Get Citation+

shu
Export:  

Share Article

Article Metrics

Article Views: 687 Times

PDF downloads: 211 Times

Cited by: Times
  • 加载中

    • Manuscript History

    Manuscript received: 13 May 2013
    Manuscript revised: 22 September 2013
    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Retrieval of Aerosol Optical Properties over a Vegetation Surface Using Multi-angular, Multi-spectral, and Polarized data

      Corresponding author: WANG Han; 
    • 1. Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031
    • 2. Key Laboratory of Optical Calibration and Characterization, Chinese Academy of Sciences, Hefei 230031
    • 3. University of Chinese Academy of Sciences, Beijing 100049
    • Manuscript received: 2013-05-13
    • Manuscript revised: 2013-09-22
    Fund Project:  This research was supported by the Chinese Airborne Remote Sensing System, the Major National Science and Technology Infrastructure Construction Projects, and the Key Programs of the Chinese Academy of Sciences (Grant No. KGFZD-125-13-006). The authors are grateful for the helpful suggestions of researcher LI Zhengqiang and his team from the Institute of Remote Sensing Applications.

    Abstract: An algorithm to retrieve aerosol optical properties using multi-angular, multi-spectral, and polarized data without a priori knowledge of the land surface was developed. In the algorithm, the surface polarized reflectance was estimated by eliminating the atmospheric scattering from measured polarized reflectance at 1640 nm. A lookup table (LUT) and an iterative method were adopted in the algorithm to retrieve the aerosol optical thickness (AOT, at 665 nm) and theAngstrom exponent (computed between the AOTs at 665 and 865 nm). Experiments were performed in Tianjin to verify the algorithm. Data were provided by a newly developed airborne instrument, the Advanced Atmosphere Multi-angle Polarization Radiometer (AMPR). The AMPR measurements over the target field agreed well with the nearby ground-based sun photometer. An algorithm based on Research Scanning Polarimeter (RSP) measurements was introduced to validate the observational measurements along a flight path over Tianjin. The retrievals were consistent between the two algorithms. The AMPR algorithm shows potential in retrieving aerosol optical properties over a vegetation surface.

    摘要: An algorithm to retrieve aerosol optical properties using multi-angular, multi-spectral, and polarized data without a priori knowledge of the land surface was developed. In the algorithm, the surface polarized reflectance was estimated by eliminating the atmospheric scattering from measured polarized reflectance at 1640 nm. A lookup table (LUT) and an iterative method were adopted in the algorithm to retrieve the aerosol optical thickness (AOT, at 665 nm) and the ?ngstr?m exponent (computed between the AOTs at 665 and 865 nm). Experiments were performed in Tianjin to verify the algorithm. Data were provided by a newly developed airborne instrument, the Advanced Atmosphere Multi-angle Polarization Radiometer (AMPR). The AMPR measurements over the target field agreed well with the nearby ground-based sun photometer. An algorithm based on Research Scanning Polarimeter (RSP) measurements was introduced to validate the observational measurements along a flight path over Tianjin. The retrievals were consistent between the two algorithms. The AMPR algorithm shows potential in retrieving aerosol optical properties over a vegetation surface.

      HTML

    Reference

    Catalog

      Publish with AAS

      Contact us

      Links

      Copyright © 2018-2028 ADVANCES IN ATMOSPHERIC SCIENCES 京ICP备14024088号-7

      Supported by: Beijing Renhe Information Technology Co. Ltd  support: info@rhhz.net  

      /

      DownLoad:  Full-Size Img  PowerPoint
      Return