Improving heterogeneous forest height maps by integrating gedi-based forest height information in a multi-sensor mapping process

HIGHLIGHTS

• who: David Morin and collaborators from the (UNIVERSITY) have published the paper: Improving Heterogeneous Forest Height Maps by Integrating GEDI-Based Forest Height Information in a Multi-Sensor Mapping Process, in the Journal: (JOURNAL) of 16/03/2022
• what: The authors assess the method on mixed broadleaved and coniferous forests in France, and the authors test the possibility of integrating GEDI height metrics as reference data for forest dominant height estimation 4 of 25 (i.e., replacing field measurements by GEDI height metrics in model learning). The authors focus on the Hdom results. In the . . .
  

   

  

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