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"A Machine Learning Approach for Mapping Forest Vegetation in Riparian ..."

Danielle Elis Garcia Furuya et al. (2020)

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DOI: 10.3390/RS12244086

access: open

type: Journal Article

metadata version: 2022-10-02

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  dblp key:
  - journals/remotesensing/FuruyaAEPFPGLLJ20
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  - https://dblp.org/rec/journals/remotesensing/FuruyaAEPFPGLLJ20
Danielle Elis Garcia Furuya, João Alex Floriano Aguiar, Nayara V. Estrabis, Mayara Maezano Faita Pinheiro, Michelle Taís Garcia Furuya, Danillo Roberto Pereira, Wesley Nunes Gonçalves, Veraldo Liesenberg, Jonathan Li, José Marcato Junior, Lucas Prado Osco, Ana Paula Marques Ramos:
A Machine Learning Approach for Mapping Forest Vegetation in Riparian Zones in an Atlantic Biome Environment Using Sentinel-2 Imagery. Remote. Sens. 12(24): 4086 (2020)

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