Advanced remote sensing techniques for global changes and Amazon ecosystem functioning studies

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dc.contributor.author Novo, EM
dc.contributor.author Ferreira, LG
dc.contributor.author Barbosa, C
dc.contributor.author Carvalho, C
dc.contributor.author Sano, EE
dc.contributor.author Shimabukuro, YE
dc.contributor.author Huete, A
dc.contributor.author Potter, C
dc.contributor.author ROBERTS, DA
dc.contributor.author HESS, LL
dc.contributor.author MELACK, JJ
dc.contributor.author Yoshioka, H
dc.contributor.author Klooster, S
dc.contributor.author Kumar, V
dc.contributor.author Myneni, RB
dc.contributor.author Ratana, P
dc.contributor.author Didan, K
dc.contributor.author Miura, T
dc.date.accessioned 2010-05-28T09:47:49Z
dc.date.issued 2005-01
dc.identifier.citation Acta Amazonica, 2005, 35 (2), pp. 259 - 272
dc.identifier.issn 0044-5967
dc.identifier.other C1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/9153
dc.description.abstract This paper aims to assess the contribution of remote sensing technology in addressing key questions raised by the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA). The answers to these questions foster the knowledge on the climatic, biogechemical and hydrologic functioning of the Amazon, as well as on the impact of human activities at regional and global scales. Remote sensing methods allow integrating information on several processes at different temporal and spatial scales. By doing so, it is possible to perceive hidden relations among processes and structures, enhancing their teleconnections. Key advances in the remote sensing science are summarized in this article, which is particularly focused on information that would not be possible to be retrieved without the concurrence of this technology
dc.language Portuguese
dc.publisher Instituto Nacional de Pesquisas da Amazonia
dc.title Advanced remote sensing techniques for global changes and Amazon ecosystem functioning studies
dc.type Journal Article
dc.parent Acta Amazonica
dc.journal.volume 2
dc.journal.volume 35
dc.journal.number 2 en_US
dc.publocation Brazil en_US
dc.identifier.startpage 259 en_US
dc.identifier.endpage 272 en_US
dc.cauo.name SCI.Faculty of Science en_US
dc.conference Verified OK en_US
dc.for 0502 Environmental Science and Management
dc.personcode 108636
dc.percentage 100 en_US
dc.classification.name Environmental Science and Management en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords Remote sensing; pattern; processes. en_US
dc.description.keywords Remote sensing
dc.description.keywords pattern
dc.description.keywords processes.
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Science
pubs.organisational-group /University of Technology Sydney/Strength - C3
utslib.copyright.status Open Access
utslib.copyright.date 2015-04-15 12:23:47.074767+10
utslib.collection.history Uncategorised (ID: 363)
utslib.collection.history General (ID: 2)


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