@InProceedings{CunhaRuGaPeBrPe:2017:AnPrAu,
author = "Cunha, John Elton de Brito Leite and Rufino, Iana Alexandra Alves
and Galv{\~a}o, Carlos de Oliveira and Perreira, Thiago Emmanuel
and Brasileiro, Francisco Vilar and Perreira, Esdras Vidal",
title = "An{\'a}lise e Processamento Autom{\'a}tico de Grandes Volumes de
Dados Ambientais (Big Earth Observation Data Sets)",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "7459--7466",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "Hydrology and water resources demand monitoring land use and
cover, related to the impacts of climate and human action.
However, very often data for such monitoring and sequent analysis
are from spatial scales that cannot be fully collected by field
survey. Remote sensing techniques and data are suitable to those
needs, since include land use/land cover changes detection in
different scales (from local to continental landscapes). This
paper presents an intercontinental initiative: the EUBrazil Cloud
Connect project, developed by European and Brazilian partners. The
main goal is to provide a cloud computing infrastructure to use
tools for multi-temporal analysis and trend analysis of huge
remote sensing databases to understand the main current drivers of
land use changes. SEBAL (Surface Energy Balance Algorithm for
Land) algorithm has been processed for a long time series (more
than 30 years of satellite images) covering the whole Brazilian
semi-arid area. Web services for visualization, analysis and
deployment for decision makers and researchers are used.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59372",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSMFPP",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMFPP",
targetfile = "59372.pdf",
type = "An{\'a}lise de s{\'e}ries temporais de imagens de
sat{\'e}lite",
urlaccessdate = "27 abr. 2024"
}