@InProceedings{FerreiraQCSVMSNCAGZ:2020:UsReSe,
author = "Ferreira, Karine Reis and Queiroz, Gilberto Ribeiro and Camara,
Gilberto and Souza, Ricardo Cartaxo Modesto de and Vinhas, Lubia
and Marujo, Rennan de Freitas Bezerra and Sim{\~o}es, Rolf
Ezequiel de Oliveira and Noronha, Carlos Alberto Ferreira de and
Costa, Raphael Willian da and Arcanjo, Jeferson de Souza and
Gomes, Vitor and Zaglia, Matheus Cavassan",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Using remote sensing images and cloud services on Aws to improve
land use and cover monitoring",
booktitle = "Proceedings...",
year = "2020",
pages = "558--652",
organization = "IEEE Latin American GRSS; ISPRS Remote Sensing Conference",
publisher = "IEEE",
keywords = "Cloud Computing, Remote sensing images, land use and cover
monitoring, Amazon Web Service (AWS).",
abstract = "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
governments worldwide provided access to petabytes of remote
sensing images. To properly deal with this vast amount of images,
novel technologies have been proposed and developed based on cloud
computing and big data systems. This paper describes the INPEs
initiatives in using remote sensing images and cloud services of
the Amazon Web Services (AWS) infrastructure to improve land use
and cover monitoring.",
conference-location = "Santiago, Chile",
conference-year = "21-26 Mar.",
doi = "10.1109/LAGIRS48042.2020.9165637",
url = "http://dx.doi.org/10.1109/LAGIRS48042.2020.9165637",
isbn = "978-172814350-7",
language = "en",
targetfile = "ferreira_using.pdf",
urlaccessdate = "13 maio 2024"
}