Enhanced automated canopy characterization from hyperspectral data by a novel two step radiative transfer model inversion approach

HIGHLIGHTS

• who: Wouter Dorigo 1 from the Institute of Photogrammetry and, Vienna University of Technology, Munich, Germany have published the research work: Enhanced Automated Canopy Characterization from Hyperspectral Data by a Novel Two Step Radiative Transfer Model Inversion Approach, in the Journal: (JOURNAL) of June/30,/2003
• what: This study explores the possibilities of developing a completely automated and image based RTM inversion approach for the concurrent retrieval of the key crop variables LAI, leaf chlorophyll content, leaf water content, leaf dry matter content, and average leaf angle. The authors propose a new method for a . . .
  

   

  

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