Learning-based tracking of crop biophysical variables and key dates estimation from fusion of sar and optical data

HIGHLIGHTS

• who: Gaussian processes et al. from the IncAngle have published the article: Learning-based tracking of crop biophysical variables and key dates estimation from fusion of SAR and optical data, in the Journal: (JOURNAL) of 01/03/2019
• what: The authors propose a filtering framework which uses Process-based dynamic and observation models an unscented Kalman filter (GP-UKF) and fusion of multitemporal SENTINEL-1 and SENTINEL-2 data to monitor crop biophysical variables. For the purpose of the present paper, since the approximate carbohydrate content (i.e . The strengths and limitations of this study . . .
  

   

  

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