Ensemble machine learning for mapping tree species alpha-diversity using multi-source satellite data in an ecuadorian seasonally dry forest

HIGHLIGHTS

  • who: Steven E. Sesnie and collaborators from the Division of Biological Sciences, USFish and Wildlife Service, Albuquerque, NM, USA Departamento de Ciencias Biolu00f3gicas, Universidad Tu00e9cnica Particular de Loja, Loja, Ecuador have published the article: Ensemble Machine Learning for Mapping Tree Species Alpha-Diversity Using Multi-Source Satellite Data in an Ecuadorian Seasonally Dry Forest, in the Journal: (JOURNAL) of 16/01/2023
  • what: For this study, the authors sought to investigate relationships between SDTF tree diversity and remotely sensed data in southwestern Ecuador using mixed sensor types. Given the limited extent of the study area . . .

     

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