Farmer perceptions of land cover classification of uas imagery of coffee agroecosystems in puerto rico

HIGHLIGHTS

  • What: This study was conducted to better understand pixel‑based supervised classifications of diverse ecosystems, and the utility these classifications have for researchers and land managers.
  • Who: Gwendolyn Klenke et al. from the School for Environment and Sustainability, University of Michigan, Ann Arbor, MI, USA have published the article: Farmer Perceptions of Land Cover Classification of UAS Imagery of Coffee Agroecosystems in Puerto Rico, in the Journal: Geographies 2024, 4, 321-342. of /2024/
  • How: The authors utilized UASs to collect fine‑resolution 10‑band multispectral imagery of coffee agroecosystems in Puerto Rico . . .

     

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