Airborne lidar sampling pivotal for accurate regional agb predictions from multispectral images in forest-savanna landscapes

HIGHLIGHTS

• who: Le Bienfaiteur T. Sagang et al. from the International Joint Laboratory DYCOFAC, IRD-UYI-IRGM, Yaoundé BP1857, Cameroon have published the paper: Airborne Lidar Sampling Pivotal for Accurate Regional AGB Predictions from Multispectral Images in Forest-Savanna Landscapes, in the Journal: (JOURNAL)
• what: Decomposing bias along the AGB density range the authors show that multispectral images can (in some specific cases) be used for unbiased prediction at landscape scale on the basis of ALS-calibrated statistical models. If the authors focus on high resolution multispectral (MS) imagery, such as Spot 6-7, Landsat 8 . . .
  

   

  

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