• DocumentCode
    3596055
  • Title

    Integration of remote sensing, meteorological and physiographic data for the delimitation of agrometeorological homogeneous zones

  • Author

    Paquet, France ; Viau, Alain A.

  • Author_Institution
    Centre de Recherche en Geomatique, Laval Univ., Que., Canada
  • Volume
    1
  • fYear
    34881
  • Firstpage
    303
  • Abstract
    The regionalization of agrometeorological parameters such as the air temperature, for a given region is limited by the meteorological network system. The Quebec meteorological network does not adequately satisfy the needs of the agro-food industry of the province. The number of stations is insufficient and some stations need to be resited to meet the needs of farmers. Interpolation of data collected at each station has always been used. Results thus obtained are not representative of real meteorological conditions. The authors have to recommend an other approach to increase the spatial resolution of the actual agrometeorological network. The integration of physiographical, agricultural and satellite data has allowed the identification of homogeneous agrometeorological zones. Each zone can have a better optimization and spatialization of agrometeorological data measured by the network. The regionalization of the air temperature at the stations in each zone is then possible
  • Keywords
    agriculture; atmospheric temperature; geophysical signal processing; geophysics computing; meteorology; remote sensing; Canada; Quebec; agriculture; agriculture farming; agrometeorological homogeneous zone; air temperature; atmosphere meteorology; data processing; interpolation; meteorological network system; physiographic data; physiographical; regionalization; remote sensing; Electronic mail; Information resources; Interpolation; Meteorology; Optimized production technology; Remote sensing; Satellites; Spatial resolution; Statistical analysis; Temperature measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
  • Print_ISBN
    0-7803-2567-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.1995.520265
  • Filename
    520265