• DocumentCode
    3371625
  • Title

    Spectral signature of leaves of amazon rainforest tree species

  • Author

    Arai, Egidio ; Pereira, Gabriel ; Coura, Samuel M C ; Cardozo, Francielle S. ; Silva, Fabrício B. ; Shimabukuro, Yosio E. ; Moraes, Elisabete C. ; Freitas, Ramon M. ; Espirito-Santo, Fernando D B

  • Author_Institution
    Nat. Inst. for Space Res., São José dos Campos, Brazil
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    4788
  • Lastpage
    4791
  • Abstract
    Remote sensing is based on the interaction of electromagnetic radiation with the portion of the electromagnetic radiation that interacts with Earth surface targets. Studies to analyze the spectrum of reflectance of surface targets by sensor systems could be done by terrestrial (laboratory and field), aerial and orbital acquisitions. Consequently, for vegetation studies through remote sensing observations is necessary to know the physiology of the plant studied and the reflectance spectrum, considering that the solar radiation reaches the earth´s surface and results in three fractions: one part is absorbed, another is reflected and a third part is transmitted. The leaves are the principal absorber of electromagnetic radiation in a canopy and represents the element that more contribute to the signal detected by orbital sensors. The present work has as its main goal the analysis of the spectral signature responses of common species of several forest functional types in a tropical forest area in the Amazon.
  • Keywords
    atmospheric boundary layer; atmospheric optics; reflectivity; remote sensing; vegetation; Earth surface target; amazon rainforest tree species; electromagnetic radiation; leaves spectral signature; reflectance; remote sensing; Absorption; Electromagnetic radiation; Extraterrestrial measurements; Radiometry; Reflectivity; Remote sensing; Amazon forest; leaves; remote sensing; spectral reflectance;
  • 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.2010.5653859
  • Filename
    5653859