Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Marcelo Hiromiti Matsumoto"'
Autor:
Rafael Walter Albuquerque, Daniel Luis Mascia Vieira, Manuel Eduardo Ferreira, Lucas Pedrosa Soares, Søren Ingvor Olsen, Luciana Spinelli Araujo, Luiz Eduardo Vicente, Julio Ricardo Caetano Tymus, Cintia Palheta Balieiro, Marcelo Hiromiti Matsumoto, Carlos Henrique Grohmann
Publikováno v:
Remote Sensing, Vol 14, Iss 4, p 830 (2022)
Monitoring the vegetation structure and species composition of forest restoration (FR) in the Brazilian Amazon is critical to ensuring its long-term benefits. Since remotely piloted aircrafts (RPAs) associated with deep learning (DL) are becoming pow
Externí odkaz:
https://doaj.org/article/5a961217f9ab45b085c619d61660352c
Autor:
Rafael Walter Albuquerque, Marcelo Hiromiti Matsumoto, Miguel Calmon, Manuel Eduardo Ferreira, Daniel Luís Mascia Vieira, Carlos Henrique Grohmann
Publikováno v:
Open Geosciences. 14:921-929
Remotely piloted aircrafts (RPAs) are becoming well-known for monitoring forest restoration (FR). Canopy cover percentage on a restoration site is a major indicator for the early phases of FR. We present a protocol to evaluate canopy cover using low-
Autor:
Albuquerque, Rafael Walter1 (AUTHOR) guano@usp.br, Vieira, Daniel Luis Mascia2 (AUTHOR) daniel.vieira@embrapa.br, Ferreira, Manuel Eduardo3 (AUTHOR) manuel@ufg.br, Soares, Lucas Pedrosa4 (AUTHOR) lpsoares@usp.br, Olsen, Søren Ingvor5 (AUTHOR) ingvor@di.ku.dk, Araujo, Luciana Spinelli6 (AUTHOR) luciana.spinelli@embrapa.br, Vicente, Luiz Eduardo6 (AUTHOR) luiz.vicente@embrapa.br, Tymus, Julio Ricardo Caetano7 (AUTHOR) jtymus@tnc.org, Balieiro, Cintia Palheta7 (AUTHOR) cbalieiro@tnc.org, Matsumoto, Marcelo Hiromiti8 (AUTHOR) mhmatsu@alumni.usp.br, Grohmann, Carlos Henrique1 (AUTHOR)
Publikováno v:
Remote Sensing. Feb2022, Vol. 14 Issue 4, p830. 1p.