Tropical forest top height by gedi: from sparse coverage to continuous data

HIGHLIGHTS

• who: Yen-Nhi Ngo et al. from the University of Montpellier, Montpellier, France have published the Article: Tropical Forest Top Height by GEDI: From Sparse Coverage to Continuous Data, in the Journal: (JOURNAL)
• what: The study shows the potential value of using remote-sensing (RS) (i.e. optical Sentinel-2 radar Sentinel-1 and radar PALSAR-2) to extrapolate GEDI footprint-level forest canopy height model (CHM) measurements. The authors show that selected RS features can estimate vegetation heights with high precision by analyzing RS spaceborne GEDI LiDAR and airborne LiDAR at four tropical forest . . .
  

   

  

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