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    Joint retrieval of aerosol optical depth and surface reflectance over land using geostationary satellite data.

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    Authors
    She, Lu cc
    Xue, Yong cc
    Yang, Xihua cc
    Leys, John
    Guang, Jie cc
    Che, Yahui
    Fan, Cheng
    Xie, Yanqing cc
    Li, Ying
    Affiliation
    University of Derby
    Chinese Academy of Sciences
    New South Wales Office of Environment and Heritage
    Issue Date
    2018-09-26
    
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    Abstract
    The advanced Himawari imager (AHI) aboard the Himawari-8 geostationary satellite provides high-frequency observations with broad coverage, multiple spectral channels, and high spatial resolution. In this paper, AHI data were used to develop an algorithm for joint retrieval of aerosol optical depth (AOD) over land and land surface bidirectional reflectance. Instead of performing surface reflectance estimation before calculating AOD, the AOD and surface bidirectional reflectance were retrieved simultaneously using an optimal estimation method. The algorithm uses an atmospheric radiative transfer model coupled with a surface bidirectional reflectance factor (BRF) model. Based on the assumption that the surface bidirectional reflective properties are invariant during a short time period (i.e., a day), multiple temporal AHI observations were combined to calculate the AOD and surface BRF. The algorithm was tested over East Asia for year 2016, and the AOD retrieval results were validated against the aerosol robotic network (AERONET) sites observation and compared with the Moderate Resolution Imaging Spectroradiometer Collection 6.0 AOD product. The validation of the retrieved AOD with AERONET measurements using 14 713 colocation points in 2016 over East Asia shows a high correlation coefficient: R = 0.88, root-mean-square error = 0.17, and approximately 69.9% AOD retrieval results within the expected error of ± 0.2· AODAERONET± 0.05. A brief comparison between our retrieval and AOD product provided by Japan Meteorological Agency is also presented. The comparison and validation demonstrates that the algorithm has the ability to estimate AOD with considerable accuracy over land.
    Citation
    She, L. et al. (2018) ‘Joint retrieval of aerosol optical depth and surface reflectance over land using geostationary satellite data’, IEEE Transactions on Geoscience and Remote Sensing. doi: 10.1109/TGRS.2018.2867000
    Publisher
    IEEE
    Journal
    IEEE Transactions on Geoscience and Remote Sensing
    URI
    http://hdl.handle.net/10545/623053
    DOI
    10.1109/TGRS.2018.2867000
    Additional Links
    https://ieeexplore.ieee.org/document/8472284/
    Type
    Article
    Language
    en
    ISSN
    0196-2892
    EISSN
    1558-0644
    ae974a485f413a2113503eed53cd6c53
    10.1109/TGRS.2018.2867000
    Scopus Count
    Collections
    Department of Electronics, Computing & Maths

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