Zobrazeno 1 - 10
of 17
pro vyhledávání: '"G. R. Queiroz"'
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
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
Autor:
B. F. Matias, L. F. C. Cunha Filho, F. C. A. Rego, J. V. P. Barreto, L. S. L. S. Reis, A. T. Z. Queiroz, G. R. Queiroz
Publikováno v:
Veterinary World, Vol 13, Iss 12, Pp 2612-2617 (2020)
Background and Aim: To establish prevention strategies, recording the prevalence of foot injuries within a herd should be the starting point in determining the risk factors involved in digital diseases. This study aimed to assess the prevalence of cl
Externí odkaz:
https://doaj.org/article/ab1ab8ed498048908af01153ed8d85b6
Autor:
K. R. Ferreira, G. R. Queiroz, G. Camara, R. C. M. Souza, L. Vinhas, R. F. B. Marujo, R. E. O. Simoes, C. A. F. Noronha, R. W. Costa, J. S. Arcanjo, V. C. F. Gomes, M. C. Zaglia
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-3-W12-2020, Pp 207-211 (2020)
The Brazilian National Institute for Space Research (INPE) produces official information about deforestation as well as land use and cover in the country, based on remote sensing images. The current open data policy adopted by many space agencies and
Externí odkaz:
https://doaj.org/article/c348177ea9194922a099caaee210a82a
Autor:
M. C. A. Picoli, R. Simoes, M. Chaves, L. A. Santos, A. Sanchez, A. Soares, I. D. Sanches, K. R. Ferreira, G. R. Queiroz
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-3-2020, Pp 533-539 (2020)
Currently, the overwhelming amount of Earth Observation data demands new solutions regarding processing and storage. To reduce the amount of time spent in searching, downloading and pre-processing data, the remote Sensing community is coming to an ag
Externí odkaz:
https://doaj.org/article/b297067c28414ed4bf333e4338125b28
Autor:
A. L. F. Camurça-Vasconcelos, L. M. Melo, N. R. F. Nascimento, P. G. M. Teixeira, D. B. Menezes, R. A. Silva, I. P. Souza, M. G. R. Queiroz, S. M. Morais, C. M. L. Bevilaqua
Publikováno v:
Revista Brasileira de Ciência Veterinária. 12:46-52
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04670430820b9544dc6e17a8a9a3c47d
https://doi.org/10.4322/rbcv.2014.300
https://doi.org/10.4322/rbcv.2014.300
Autor:
Albertina A S, de Sousa, Norma M B, Benevides, Alana, de Freitas Pires, Felipe P, Fiúza, Maria G R, Queiroz, Thamires M F, Morais, Maria G, Pereira, Ana M S, Assreuy
Publikováno v:
Fundamentalclinical pharmacology. 27(2)
The sulfated galactan of the red marine alga Gelidium crinale (SG-Gc) was purified by ion exchange chromatography and tested by intravenous (i.v.) route in rodent experimental models of inflammation and nociception. The anti-inflammatory activity of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::df4dcd2aa523cc12a34b01f78e0726d8
https://pubmed.ncbi.nlm.nih.gov/22017538
https://pubmed.ncbi.nlm.nih.gov/22017538