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    | Titel | 
    Synergistic angular and spectral estimation of aerosol properties using CHRIS/PROBA-1 and simulated Sentinel-3 data | 
   
  
    | VerfasserIn | 
    W. H. Davies, P. R. J. North | 
   
  
    | Medientyp | 
    Artikel
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    | Sprache | 
    Englisch
  | 
   
  
    | ISSN | 
    1867-1381
  | 
   
  
    | Digitales Dokument | 
    URL | 
   
  
    | Erschienen | 
    In: Atmospheric Measurement Techniques ; 8, no. 4 ; Nr. 8, no. 4 (2015-04-10), S.1719-1731 | 
   
  
    | Datensatznummer | 
    250116296
  | 
   
  
    | Publikation (Nr.) | 
     copernicus.org/amt-8-1719-2015.pdf | 
   
  
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        | Zusammenfassung | 
       
      
        | We develop a method to derive aerosol properties  over
  land surfaces using combined spectral and angular information, such as available from ESA  Sentinel-3 mission, to be launched in 2015.
  A method of estimating aerosol optical depth (AOD) using only angular retrieval has previously been
  demonstrated on data from the ENVISAT and PROBA-1 satellite
  instruments, and is extended here to the synergistic spectral and
  angular sampling of Sentinel-3. The method aims to
  improve the estimation of AOD,
  and to explore the estimation of fine mode fraction (FMF) and single scattering albedo (SSA) over
  land surfaces by
  inversion of a coupled surface/atmosphere radiative transfer model. The surface model
   includes a general physical model of angular and spectral surface
  reflectance. An iterative process is used to determine the optimum
  value of the aerosol properties providing the best fit of the
  corrected reflectance values to the physical model. The method is tested using hyperspectral, multi-angle
  Compact High Resolution Imaging Spectrometer (CHRIS) images. The
  values obtained from these CHRIS observations are validated using
  ground-based sun photometer measurements. Results from 22 image sets
  using the synergistic retrieval and improved aerosol models show an
  RMSE of 0.06 in AOD, reduced to 0.03 over vegetated targets. | 
       
    
  
  
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