Combining environmental, multispectral, and lidar data improves forest type classification: a case study on mapping cool temperate rainforests and mixed forests

HIGHLIGHTS

  • who: Raphael Trouvu00e9 and collaborators from the School of Ecosystem and Sciences, University of Melbourne, Burnley, VIC, Australia have published the paper: Combining Environmental, Multispectral, and LiDAR Data Improves Forest Type Classification: A Case Study on Mapping Cool Temperate Rainforests and Mixed Forests, in the Journal: (JOURNAL) of 22/Dec/2022
  • what: The study demonstrated that multi-source methods are important for capturing different properties of the that discriminate ecosystems. Part of the popularity of HSMs is likely due to the wide availability of presence/absence-and to an even greater extent presence-only-data . . .

     

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