• DocumentCode
    142878
  • Title

    A novel topographic correction for high and medium resolution images by using combined solar radiation

  • Author

    Notarnicola, C. ; Callegari, M. ; De Gregorio, L. ; Sonnenschein, R. ; Remelgado, R. ; Ventura, B.

  • Author_Institution
    Inst. for Appl. Remote Sensing, EURAC, Bolzano, Italy
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    1053
  • Lastpage
    1056
  • Abstract
    On mountain areas, one main important pre-processing step for optical satellite imagery is the topographic correction. The illumination condition strongly depends on the area topography, sun elevation and azimuth and acquisition geometry of the sensor. These elements generate unequal light distribution over the observed surface. This effect needs to be corrected to improve classification and parameters retrieval performances. In this paper, a novel empirical approach for topographic correction is presented using the combined (direct and diffuse) solar radiation. The combined solar radiation has the advantage to take into account the brightening effect of topography on scene radiance. The approach aims at defining correction coefficients depending on the different land cover. We tested our approach using both high and medium resolution images and terrain effects in both data sets were considerably reduced.
  • Keywords
    geophysical image processing; image classification; image resolution; image retrieval; land cover; terrain mapping; topography (Earth); acquisition geometry; area topography; brightening effect; combined solar radiation; correction coefficients; high resolution images; illumination condition; medium resolution images; mountain areas; optical satellite imagery; parameters retrieval performances; scene radiance; solar radiation; sun elevation; terrain effects; topographic correction; Image resolution; MODIS; Reflectivity; Remote sensing; Satellites; Snow; Solar radiation; classification; mountain; solar radiation; topography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6946609
  • Filename
    6946609