Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Rorai Pereira Martins-Neto"'
Autor:
Aline D. Jacon, Lênio Soares Galvão, Rorai Pereira Martins-Neto, Pablo Crespo-Peremarch, Luiz E. O. C. Aragão, Jean P. Ometto, Liana O. Anderson, Laura Barbosa Vedovato, Celso H. L. Silva-Junior, Aline Pontes Lopes, Vinícius Peripato, Mauro Assis, Francisca R. S. Pereira, Isadora Haddad, Catherine Torres de Almeida, Henrique L. G. Cassol, Ricardo Dalagnol
Publikováno v:
Remote Sensing, Vol 16, Iss 12, p 2085 (2024)
Full-waveform LiDAR (FWF) offers a promising advantage over other technologies to represent the vertical canopy structure of secondary successions in the Amazon region, as the waveform encapsulates the properties of all elements intercepting the emit
Externí odkaz:
https://doaj.org/article/7e8265c7225f433392ca3cbd7edced69
Autor:
Bill Herbert Ziegelmaier Neto, Marcos Benedito Schimalski, Veraldo Liesenberg, Camile Sothe, Rorai Pereira Martins-Neto, Mireli Moura Pitz Floriani
Publikováno v:
Remote Sensing, Vol 16, Iss 9, p 1523 (2024)
The Brazilian Atlantic Rainforest presents great diversity of flora and stand structures, making it difficult for traditional forest inventories to collect reliable and recurrent information to classify forest succession stages. In recent years, remo
Externí odkaz:
https://doaj.org/article/76a198203259497ba642972505e2c16a
Autor:
Rorai Pereira Martins-Neto, Antonio Maria Garcia Tommaselli, Nilton Nobuhiro Imai, Eija Honkavaara, Milto Miltiadou, Erika Akemi Saito Moriya, Hassan Camil David
Publikováno v:
Forests, Vol 14, Iss 5, p 945 (2023)
This study experiments with different combinations of UAV hyperspectral data and LiDAR metrics for classifying eight tree species found in a Brazilian Atlantic Forest remnant, the most degraded Brazilian biome with high fragmentation but with huge st
Externí odkaz:
https://doaj.org/article/9d897e1b70184b159e41524fbaedd043
Autor:
Rorai Pereira Martins-Neto, Antonio Maria Garcia Tommaselli, Nilton Nobuhiro Imai, Hassan Camil David, Milto Miltiadou, Eija Honkavaara
Publikováno v:
Remote Sensing, Vol 13, Iss 13, p 2444 (2021)
Data collection and estimation of variables that describe the structure of tropical forests, diversity, and richness of tree species are challenging tasks. Light detection and ranging (LiDAR) is a powerful technique due to its ability to penetrate sm
Externí odkaz:
https://doaj.org/article/d724093c152d43ef8a52eea5fc4f6d80
Autor:
Rorai Pereira Martins Neto, Álvaro Muriel Lima Machado, Christel Lingnau, Matheus Nunes Silva, André Leonardo Bortolotto Buck, Vagner Alex Pesck
Publikováno v:
Ambiência, Vol 8, Iss Especial, Pp 549-557 (2012)
Este trabalho teve como objetivo realizar a cubagem de uma árvore utilizando modelagem tridimensional da nuvem de pontos laser scanner terrestre e comparar os resultados com a cubagem rigorosa tendo o valor obtido no xilômetro como parâmetro para
Externí odkaz:
https://doaj.org/article/a306e11eff43422ca8d9bc3561613874
Autor:
Antonio Maria Garcia Tommaselli, Eija Honkavaara, Nilton Nobuhiro Imai, Rorai Pereira Martins-Neto, Adilson Berveglieri, Gabriela Takahashi Miyoshi
Publikováno v:
Ecological Indicators, Vol 126, Iss, Pp 107597-(2021)
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Made available in DSpace on 2021-06-25T10:56:06Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-07-01 Canopy height is an important attribute that allows characterizing the forest vertical structure and analyze changes in vegetation cover over
Autor:
Antonio Maria Garcia Tommaselli, Milto Miltiadou, Hassan Camil David, Eija Honkavaara, Rorai Pereira Martins-Neto, Nilton Nobuhiro Imai
Publikováno v:
Remote Sensing, Vol 13, Iss 2444, p 2444 (2021)
Remote Sensing; Volume 13; Issue 13; Pages: 2444
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Remote Sensing; Volume 13; Issue 13; Pages: 2444
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Made available in DSpace on 2022-04-29T08:30:19Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-07-01 Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Dat
Autor:
Matheus Nunes Silva, André Leonardo Bortolotto Buck, Christel Lingnau, Álvaro Muriel Lima Machado, Rorai Pereira Martins Neto, Vagner Alex Pesck
Publikováno v:
Revista Brasileira de Cartografia, Vol 65, Iss 6 (2014)
O objetivo deste artigo é apresentar os princípios de funcionamento dos equipamentos laser scanner terrestre e as possibilidades de aplicação da tecnologia no setor florestal. O texto relata as tecnologias embarcadas nos equipamentos bem como sua
Externí odkaz:
https://doaj.org/article/b9c7ee3b6415456b93353b43be41dc57
Publikováno v:
Nativa; v. 7, n. 5 (2019); 520-526
Nativa; v. 7 n. 5 (2019); 520-526
Nativa; Vol. 7 No. 5 (2019); 520-526
Nativa (Sinop)
Universidade Federal de Mato Grosso (UFMT)
instacron:UFMT
Nativa; v. 7 n. 5 (2019); 520-526
Nativa; Vol. 7 No. 5 (2019); 520-526
Nativa (Sinop)
Universidade Federal de Mato Grosso (UFMT)
instacron:UFMT
Nos últimos anos, a intensificação das atividades antrópicas modificadoras da cobertura vegetal do solo em território brasileiro vem ocorrendo em larga escala. Para fins de monitoramento das alterações da cobertura florestal, as técnicas de S
Autor:
Rorai Pereira Martins-Neto, Vilma Mayumi Tachibana, Antonio Maria Garcia Tommaselli, Mariana Batista Campos, M. V. Machado
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2-W13, Pp 449-454 (2019)
Vegetation mapping requires information about trees and underlying vegetation to ensure proper management of the urban and forest environments. This information can be obtained using remote sensors. For instance, lightweight systems composed of Unman
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a49d2bb6a4eca29de393a3822579e8ce
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W13/449/2019/
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W13/449/2019/