• DocumentCode
    144237
  • Title

    Exploring various spectral regions for estimating chlorophyll from ASD leaf reflectance using prospect radiative transfer model

  • Author

    Cho, Moses Azong ; Ramoelo, Abel ; Skidmore, Andrew

  • Author_Institution
    Earth Obs., Natural Resources & Environ., Council for Sci. & Ind. Res. (CSIR), Pretoria, South Africa
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    4754
  • Lastpage
    4757
  • Abstract
    The performance of PROSPECT-5 radiative transfer model for predicting leaf chlorophyll from reflectance measurements made with the Analytical Spectral Device (ASD) spectrometer was investigated using numerical inversion techniques. The reflectance data of various spectral regions in the visible to shortwave infrared (SWIR) were assessed i.e. the full range (400-2500 nm), VNIR (400-1060 nm), visible (400-700 nm), red (600-700 nm), red-red edge (600-760 nm) and red-edge (670-760 nm). Among the spectral regions, the red-edge region yielded the lowest root mean square error of prediction (RMSEP =10.3 μg/cm2) for a variety of plants including crops and wild plants (n = 463). It is therefore recommended that inversion of radiative transfer models to retrieve leaf chlorophyll content be limited to the red-edge region.
  • Keywords
    radiative transfer; vegetation; ASD leaf reflectance chlorophyll estimation; ASD spectrometer; Analytical Spectral Device spectrometer; PROSPECT-5 radiative transfer model performance; RMSEP; SWIR; VNIR region; crop; leaf chlorophyll content retrieval; leaf chlorophyll predictinon; lowest root mean square prediction error; numerical inversion technique; plant variety; radiative transfer model inversion; red-red edge region; reflectance measurement; shortwave infrared; spectral region exploration; spectral region reflectance data; visible infrared; visible region; wild plant; Artificial neural networks; Optical reflection; Optical sensors; Reflectivity; Remote sensing; Variable speed drives; Vegetation; Analytical Spectral Device (ASD); PROSPECT-5; Radiative transfer model; leaf chlorophyll;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6947556
  • Filename
    6947556