• DocumentCode
    1553845
  • Title

    Morphological Database of Paris for Atmospheric Modeling Purposes

  • Author

    Tack, Andreas ; Koskinen, Jarkko ; Hellsten, Antti ; Sievinen, Pauli ; Esau, Igor ; Praks, Jaan ; Kukkonen, Jaakko ; Hallikainen, Martti

  • Author_Institution
    Dept. of Air Quality, Finnish Meteorol. Inst., Helsinki, Finland
  • Volume
    5
  • Issue
    6
  • fYear
    2012
  • Firstpage
    1803
  • Lastpage
    1810
  • Abstract
    This paper presents a morphological database, aimed to be applied as boundary data for atmospheric modeling. The database has been created from freely available sources and 13 ASAR images that were provided by European Space Agency (ESA) through Announcement of Opportunity (AO). Urban themes were extracted from optical data and digital maps by supervised spectral minimum distance to means classification. Urban topography was modeled using multibaseline Interferometric Synthetic Aperture Radar (InSAR) with phase unwrapping based on Maximum Likelihood (ML) estimation. In combining obtained InSAR height data with urban classification from optical images, additional features that are beyond the SAR resolution were added to the urban topography layer. The methods of retrieval of morphological data are discussed as well as the generation of the height model. The results are compared to the existing Shuttle Radar Topography Mission (SRTM) elevation model and the BDTopo Parisian database. We also address an example application of the database, a Large Eddy Simulation (LES) of urban canopy flow over the Paris area.
  • Keywords
    atmospheric boundary layer; atmospheric movements; height measurement; maximum likelihood estimation; radar interferometry; remote sensing by radar; synthetic aperture radar; terrain mapping; topography (Earth); ASAR images; BDTopo Parisian database; ESA; European Space Agency; France; InSAR height data; MLE based phase unwrapping; Paris morphological database; SRTM elevation model; Shuttle Radar Topography Mission; atmospheric modeling; boundary data; digital maps; interferometric synthetic aperture radar; large eddy simulation; maximum likelihood estimation; multibaseline InSAR; optical data; optical images; supervised spectral minimum distance to means classification; urban canopy flow; urban classification; urban themes; urban topography layer; Atmospheric modeling; Buildings; Computational modeling; Databases; Mathematical model; Surfaces; Vegetation mapping; Interferometry; database; morphology; urban areas;
  • fLanguage
    English
  • Journal_Title
    Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    1939-1404
  • Type

    jour

  • DOI
    10.1109/JSTARS.2012.2201134
  • Filename
    6232472