• DocumentCode
    3303259
  • Title

    Land Surface Temperatures From Meteosat-9 satellite in Minas Gerais state, Brazil

  • Author

    Dantas, A.A.A. ; Ferreira, E.

  • Author_Institution
    Univ. Fed. de Lavras, Lavras, Brazil
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    2241
  • Lastpage
    2243
  • Abstract
    The Meteosat-9 is a geostationary meteorological satellite of the EUMETSAT. The Spinning Enhanced Visible and Infra Red Imager (SEVIRI) of Meteosat-9 collects data in eleven bands, with nominal ground resolution of 3 km. An additional panchromatic band, with 1 km resolution totalizes 12 channels. One of the simplest applications of these data is the estimation of land surface temperatures (LST) from brightness temperatures. In this work the goal was to estimate the surface temperatures from Meteosat-9 images, corresponding to the data of the automatic ground weather stations of CPTEC/INPE, used to validate these temperatures in Minas Gerais State, Brazil. It was observed that for 18 days data, was only possible to estimate the temperatures to 12 days, because in this period, 6 days were contaminated with clouds. In cases of absence of clouds, for some sites, images could be used for the estimations of LSTs.
  • Keywords
    atmospheric boundary layer; atmospheric techniques; atmospheric temperature; infrared imaging; land surface temperature; remote sensing; Brazil; CPTEC-INPE; EUMETSAT; Meteosat-9 satellite; Minas Gerais state; SEVIRI; Spinning Enhanced Visible and Infra Red Imager; brightness temperature; geostationary meteorological satellite; ground weather station; land surface temperature; Clouds; Estimation; Land surface; Land surface temperature; Ocean temperature; Temperature distribution; Temperature sensors; LST; MSG-2; SEVIRI;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5649705
  • Filename
    5649705