• DocumentCode
    67731
  • Title

    Estimating Radiation Interception in Heterogeneous Orchards Using High Spatial Resolution Airborne Imagery

  • Author

    Guillen-Climent, M.L. ; Zarco-Tejada, Pablo J. ; Villalobos, Francisco J.

  • Author_Institution
    Inst. de Agric. Sostenible (IAS), Cordoba, Spain
  • Volume
    11
  • Issue
    2
  • fYear
    2014
  • fDate
    Feb. 2014
  • Firstpage
    579
  • Lastpage
    583
  • Abstract
    This letter outlines a method for quantifying the fraction of intercepted photosynthetically active radiation (fIPAR) from high spatial resolution airborne images acquired from an unmanned aerial vehicle. Airborne campaigns provided imagery of peach and citrus orchards using a six-band multispectral camera with 15-cm resolution. At the time of the airborne flights, field measurements of fIPAR taken with a ceptometer and structural data were obtained to characterize the study sites. Measuring fIPAR can be time consuming because of the need to sample for spatial and temporal variability. In this context, remote sensing techniques are useful as they make it possible to assess large areas. There is a lack of studies exploring the use of remote sensing techniques to estimate fIPAR in structurally complex crops. In this letter, the use of high spatial resolution imagery allowed us to classify each study plot into three pure components: vegetation, shaded soil, and sunlit soil. The radiation intercepted by a canopy is determined by the architecture and optical properties of the canopy. Consequently, the fractions of each component and their pure reflectance were used to estimate fIPAR in each study area with rmse = 0.06 for orange orchards and peach orchards.
  • Keywords
    atmospheric radiation; atmospheric techniques; sunlight; vegetation mapping; airborne campaigns; canopy architecture; canopy intercepted radiation; canopy optical properties; ceptometer; citrus orchard imagery; fIPAR estimation; fIPAR field measurements; heterogeneous orchards; high spatial resolution airborne imagery; intercepted PAR fraction; orange orchard; peach orchard imagery; photosynthetically active radiation; radiation interception estimation; remote sensing techniques; shaded soil; six band multispectral camera; spatial variability; structural data; structurally complex crops; sunlit soil; temporal variability; unmanned aerial vehicle; vegetation; Optical imaging; Remote sensing; Soil; Spatial resolution; Vegetation; Vegetation mapping; Fraction of intercepted photosynthetically active radiation (PAR) (IPAR) (fIPAR); orange; peach; remote sensing; row-structured orchards;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2013.2284660
  • Filename
    6648401