• DocumentCode
    2859468
  • Title

    Evaluation of Near-UV/blue Aerosol Optical Thickness Retrieval from Airborne Hyperspectral Imagery

  • Author

    Seidel, Felix C. ; Nieke, Jens ; Schläpfer, Daniel ; Itten, Klaus I. ; Bowles, Jeffrey H.

  • Author_Institution
    Remote Sensing Labs., Zurich Univ., Zurich
  • fYear
    2006
  • fDate
    July 31 2006-Aug. 4 2006
  • Firstpage
    2247
  • Lastpage
    2250
  • Abstract
    An aerosol retrieval algorithm is currently under development in scope of the upcoming APEX hyperspectral imager. It will be able to close the gap between global remote sensing and one-dimensional in situ measurements of atmospheric particles. This paper presents a feasibility study of the proposed APEX aerosol retrieval approach for hyperspectral imagery with high spatial resolution. The extraction of a sample aerosol optical thickness is done by fitting radiation transfer model results to measured at-sensor radiances at two near-UV/blue bands (394 and 404 nm) from the PHILLS imager. The PHILLS hyperspectral data are used to simulate the APEX Visible Near- Infrared detector and comprehend a dark surface reference target to avoid most uncertainties from the surface reflection contribution.
  • Keywords
    aerosols; atmospheric optics; atmospheric techniques; radiative transfer; remote sensing; APEX hyperspectral imager; PHILLS hyperspectral data; PHILLS imager; aerosol retrieval algorithm; airborne hyperspectral imagery; at sensor radiance measurement; blue aerosol optical thickness retrieval; near UV aerosol optical thickness retrieval; radiation transfer model; wavelength 394 nm; wavelength 404 nm; Aerosols; Atmospheric measurements; Hyperspectral imaging; Hyperspectral sensors; Image retrieval; Optical sensors; Particle measurements; Remote sensing; Spatial resolution; Surface fitting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
  • Conference_Location
    Denver, CO
  • Print_ISBN
    0-7803-9510-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2006.581
  • Filename
    4241728