Comparison of gedi lidar data capability for forest canopy height estimation over broadleaf and needleleaf forests

HIGHLIGHTS

  • who: Manizheh Rajab Pourrahmati et al. from the CNRS, INRAE, TETIS, University of Montpellier, AgroParisTech, , Montpellier, France have published the research: Comparison of GEDI LiDAR Data Capability for Forest Canopy Height Estimation over Broadleaf and Needleleaf Forests, in the Journal: (JOURNAL) of 10/03/2023
  • what: This study compares the relative metric (RH100) different types especially deciduous and evergreen coniferous located in Thuringia Germany to understand how the structural differences affect the A model that was produced using digital terrain and surface models (DTM and DSM) derived from airborne laser scanning data is used as . . .

     

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