Zobrazeno 1 - 10
of 389
pro vyhledávání: '"R, Queiroz"'
Autor:
Vitor C. F. Gomes, Gilberto R. Queiroz, Karine R. Ferreira, Edzer Pebesma, Claudio C. F. Barbosa
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTEarth Observation (EO) satellites have produced vast image collections that are freely accessible to society. However, handling these images often surpasses the capabilities of traditional hardware and software for EO data storage and process
Externí odkaz:
https://doaj.org/article/500393a75d8a49929b25e4a25daf6da5
Autor:
Machado, Mizael, Camacho, Ana Laura, Coubrough, Charles, R R Queiroz-Machado, Cintia, Custodio, Camila, Barros, Claudio S.L., Riet-Correa, Franklin, Menchaca, Alejo
Publikováno v:
In Toxicon July 2024 245
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract Food production is responsible for almost one-quarter of the environmental impact and, therefore, its importance regarding sustainability should not be overlooked. The companion animal population is increasing, and an important part of pet f
Externí odkaz:
https://doaj.org/article/9e28550ccda7423aa2c343a41ea55eac
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-3-2022, Pp 255-261 (2022)
Nowadays, researchers have free access to an unprecedentedly large amount of remote sensing images collected by satellites and sensors with different spatial, temporal, and spectral resolutions. This scenario has promoted the use of satellite image t
Externí odkaz:
https://doaj.org/article/08c0117739ba441c90fea535c2a1e3a9
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2022, Pp 597-602 (2022)
Image time series analysis and machine learning methods have been widely used in recent years to extract information from big data of remote sensing images. To support image time series analysis, remote sensing images have been modeled as Earth obser
Externí odkaz:
https://doaj.org/article/f94b5704b9da467d85afcbe77c7c25b6
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2022, Pp 721-728 (2022)
Remote sensing has been an essential tool in combating deforestation. However, the ever-rising deforestation rates require new remote sensing techniques. This paper presents a study to determine the effects on the accuracy of the data analysis of var
Externí odkaz:
https://doaj.org/article/321ca0bcd8e949a9bf936b837c1b415a
Autor:
H. N. Dominguez, S. C. Balian, R. S. Relvas, H. S. Soares, M. R. Queiroz, M. L. Martins, P. H. M. Cardoso
Publikováno v:
Brazilian Journal of Biology, Vol 83 (2023)
Abstract This study aimed to search parasites in 333 ornamental fish from five Brazilian states (Ceará, Minas Gerais, São Paulo, Paraná and Santa Catarina). Fish were sent from eight farms located in the municipalities of Fortaleza, Patrocínio do
Externí odkaz:
https://doaj.org/article/91e2dd0dc58c48369e686a9b984b7d65
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-3-2021, Pp 271-277 (2021)
Accurate and consistent Surface Reflectance estimation from optical remote sensor observations is directly dependant on the used atmospheric correction processor and the differences caused by it may have implications on further processes, e.g. classi
Externí odkaz:
https://doaj.org/article/76429caf75ca484299c3aaf13e6ae90b
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-4-2021, Pp 153-159 (2021)
Recently, several technologies have emerged to address the need to process and analyze large volumes of Earth Observations (EO) data. The concept of Earth Observations Data Cubes (EODC) appears, in this context, as the paradigm of technologies that a
Externí odkaz:
https://doaj.org/article/50a13af138f548df88a35fe110299c72
Publikováno v:
ACS Omega, Vol 6, Iss 11, Pp 7959-7965 (2021)
Externí odkaz:
https://doaj.org/article/3b2c466adefd4da89b83860da253e2f5