Airborne hyperspectral and sentinel imagery to quantify winter wheat traits through ensemble modeling approaches

HIGHLIGHTS

• who: J. L. Pancorbo from the (UNIVERSITY) have published the research work: Airborne hyperspectral and Sentinel imagery to quantify winter wheat traits through ensemble modeling approaches, in the Journal: (JOURNAL) of 20/07/2018
• what: This study analyzed whether the estimation of different winter wheat traits improved by combining indices related to different crop biophysical parameters.
• how: The modification of the quad-pol radar vegetation index (RVI) (Kim and amp Van Zyl 2009) for dual-pol SAR data was calculated as 4u03c30VH/ (u03c30VV + u03c30VH) (Trudel et_al 2012) and extracted the value for each . . .
  

   

  

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