Improving accuracy estimation of forest aboveground biomass based on incorporation of alos-2 palsar-2 and sentinel-2a imagery and machine learning: a case study of the hyrcanian forest area (iran)

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• who: Sasan Vafaei et al. from the regressionregressionFaculty of Agriculture and Natural Resources, Lorestan University have published the article: Improving Accuracy Estimation of Forest Aboveground Biomass Based on Incorporation of ALOS-2 PALSAR-2 and Sentinel-2A Imagery and Machine Learning: A Case Study of the Hyrcanian Forest Area (Iran), in the Journal: (JOURNAL) of 24/05/2014
• what: The aim of this research is to investigate the potential combination of Sentinel-2A and ALOS-2 PALSAR-2 (Advanced Land Observing Satellite -2 Phased Array type L-band Synthetic Aperture Radar-2) for improving the . . .
  

   

  

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