Zobrazeno 1 - 10
of 132
pro vyhledávání: '"Luciano Vieira Dutra"'
Autor:
Mariane Souza Reis, Maria Isabel Sobral Escada, Sidnei João Siqueira Sant'Anna, Luciano Vieira Dutra
Publikováno v:
Revista Brasileira de Cartografia, Vol 72, Pp 1087-1113 (2020)
A análise de processos de regeneração florestal provê informações que permitem estimar serviços ecossistêmicos como a fixação de carbono atmosférico, a recuperação da fertilidade dos solos, a manutenção do ciclo hidrológico e da biodi
Externí odkaz:
https://doaj.org/article/cefa45724a814de090a897494478b5c2
Autor:
Noeli Aline Particcelli Moreira, Mariane Souza Reis, Thales Sehn Körting, Luciano Vieira Dutra, Emiliano Ferreira Castejon, Egidio Arai
Publikováno v:
Revista Brasileira de Cartografia, Vol 72, Iss 4, Pp 558-573 (2020)
Transfer learning reuses a pre-trained model on a new related problem, which can be useful for monitoring large areas such as the Amazon biome. A given object must have similar spectral characteristics in the data used for this type of analysis, whic
Externí odkaz:
https://doaj.org/article/b1a67e58591148a9807bf60eb0e4bda3
Autor:
Tatiana Dias Tardelli Uehara, Sabrina Paes Leme Passos Corrêa, Renata Pacheco Quevedo, Thales Sehn Körting, Luciano Vieira Dutra, Camilo Daleles Rennó
Publikováno v:
Revista Brasileira de Cartografia, Vol 72, Iss 4, Pp 665-680 (2020)
Landslide inventory is an essential tool to support disaster risk mitigation. The inventory is usually obtained via conventional methods, as visual interpretation of remote sensing images, or semi-automatic methods, through pattern recognition. In th
Externí odkaz:
https://doaj.org/article/e1fb29cfe5c4469d92fc93864fe76c24
Autor:
Mariane Souza Reis, Luciano Vieira Dutra, Maria Isabel Sobral Escada, Sidnei Joao Siqueira Sant'anna
Publikováno v:
IEEE Access, Vol 8, Pp 98787-98799 (2020)
Classifying remote sensing time-series in land cover trajectories can provide essential information about ecosystems functioning and about the impacts of natural phenomena or human activities over the environment. The existing approaches commonly use
Externí odkaz:
https://doaj.org/article/6e3527eacc09417394ff36aa690c92fd
Autor:
Guiying Li, Dengsheng Lu, Emilio Moran, Miquéias Freitas Calvi, Luciano Vieira Dutra, Mateus Batistella
Publikováno v:
GIScience & Remote Sensing, Vol 56, Iss 2, Pp 161-183 (2019)
This research aims to understand the difference of major land-cover change results caused in various time periods and to examine the impacts of human-induced factors on land-cover changes along the TransAmazon Highway region. The Landsat Thematic Map
Externí odkaz:
https://doaj.org/article/b49884d349b144f4b1e28f9155abebf2
Autor:
Ana Elisa Pereira Silva, Corina da Costa Freitas, Luciano Vieira Dutra, Marcelo Beltrão Molento
Publikováno v:
Revista Brasileira de Parasitologia Veterinária, Vol 29, Iss 3 (2020)
Abstract Fascioliasis is a food-borne parasitic disease that affects a range of animals, including humans caused by Fasciola hepatica. The present study aimed to determine the spatial distribution of bovine fasciolosis and to assess the correlation b
Externí odkaz:
https://doaj.org/article/c76a8454d08840cf9451bc76f24b3c6d
Multi-source change detection with PALSAR data in the Southern of Pará state in the Brazilian Amazon
Autor:
Mariane Souza Reis, Luciano Vieira Dutra, Sidnei João Siqueira Sant’Anna, Maria Isabel Sobral Escada
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 84, Iss , Pp 101945- (2020)
Optical data is broadly used for change detection studies, despite being hindered by atmospheric conditions. Synthetic Aperture Radar (SAR) data can be useful for change detection in areas with frequent cloud coverage as SAR systems are capable of ob
Externí odkaz:
https://doaj.org/article/e7f27912b8d04173ad1dfa31e39dac48
Autor:
Marinalva Dias Soares, Luciano Vieira Dutra, Gilson Alexandre Ostwald Pedro da Costa, Raul Queiroz Feitosa, Rogério Galante Negri, Pedro M. A. Diaz
Publikováno v:
Remote Sensing, Vol 12, Iss 6, p 961 (2020)
Per-point classification is a traditional method for remote sensing data classification, and for radar data in particular. Compared with optical data, the discriminative power of radar data is quite limited, for most applications. A way of trying to
Externí odkaz:
https://doaj.org/article/9334db08ae1544a590c3cb7b02c7ce05
Autor:
Mariane Souza Reis, Luciano Vieira Dutra, Sidnei João Siqueira Sant'Anna, Maria Isabel Sobral Escada
Publikováno v:
Revista Brasileira de Cartografia, Vol 69, Iss 9 (2018)
A necessidade de informações acerca das dinâmicas de uso da terra tornou estudos relacionados à classificação de uso e cobertura da terra na região Amazônica relevantes no campo científico, com destaque ao uso de classificadores supervisiona
Externí odkaz:
https://doaj.org/article/ce1131f7c90d4264a2a28e3cc4a8f298
Autor:
Dengsheng Lu, Mateus Batistella, Guiying Li, Emilio Moran, Scott Hetrick, Corina da Costa Freitas, Luciano Vieira Dutra, Sidnei João Siqueira Sant'Anna
Publikováno v:
Pesquisa Agropecuária Brasileira, Vol 47, Iss 9, Pp 1185-1208 (2012)
Land use/cover classification is one of the most important applications in remote sensing. However, mapping accurate land use/cover spatial distribution is a challenge, particularly in moist tropical regions, due to the complex biophysical environmen
Externí odkaz:
https://doaj.org/article/98e4f6e34c9940259a413d3d795a271d