Using phenological cameras to track the green up in a cerrado savanna and its on-the-ground validation

dc.creatorAlberton, B
dc.creatorAlmeida, J
dc.creatorHelm, R
dc.creatorTorres, RD
dc.creatorMenzel, A
dc.creatorMorellato, LPC
dc.date2014
dc.dateJAN
dc.date2014-07-30T19:07:33Z
dc.date2015-11-26T17:50:48Z
dc.date2014-07-30T19:07:33Z
dc.date2015-11-26T17:50:48Z
dc.date.accessioned2018-03-29T00:34:06Z
dc.date.available2018-03-29T00:34:06Z
dc.identifierEcological Informatics. Elsevier Science Bv, v. 19, n. 62, n. 70, 2014.
dc.identifier1574-9541
dc.identifier1878-0512
dc.identifierWOS:000332441100008
dc.identifier10.1016/j.ecoinf.2013.12.011
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/73069
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/73069
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1289793
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionPlant phenology has gained new importance in the context of global change research, stimulating the development of novel technologies for phenological observations. Regular digital cameras have been effectively used as three-channel imaging sensors, providing measures of leaf color change or phenological shifts in plants. We monitored a species rich Brazilian cerrado savanna to assess the reliability of digital images to detect leaf-changing patterns. Analysis was conducted by extracting color information from selected parts of the image named regions of interest (ROIs). We aimed to answer the following questions: (i) Do digital cameras capture leaf changes in cerrado savanna vegetation? (ii) Can we detect differences in phenological changes among species crowns and the cerrado community? (iii) Is the greening pattern detected for each species by digital camera validated by our on-the-ground leafing phenology (direct observation of tree leaf changes)? We analyzed daily sequences of five images per hour, taken from 6:00 to 18:00 h, recorded during the cerrado main leaf flushing season. We defined 24 ROIs in the original digital image, including total or partial regions and crowns of six plant species. Our results indicated that: (i) for the studied period, single plant species ROIs were more sensitive to changes in relative green values than the community ROIs, (ii) three leaf strategies could be depicted from the species' ROI patterns of green color change, and (iii) the greening patterns and leaf functional groups were validated by our on-the-ground phenology. We concluded that digital cameras are reliable tools to monitor high diverse tropical seasonal vegetation and it is sensitive to inter-species differences of leafing patterns. (C) 2014 Elsevier B.V. All rights reserved.
dc.description19
dc.description62
dc.description70
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionEuropean Research Council under the European Union [282250]
dc.descriptionTechnische Universitat Munchen - Institute for Advanced Study
dc.descriptionGerman Excellence Initiative
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.descriptionFAPESP [2010/52113-5]
dc.descriptionFAPESP [2010/51307-0]
dc.descriptionFAPESP [2007/59779-6]
dc.descriptionCAPES [360/11]
dc.descriptionEuropean Research Council under the European Union [282250]
dc.languageen
dc.publisherElsevier Science Bv
dc.publisherAmsterdam
dc.publisherHolanda
dc.relationEcological Informatics
dc.relationEcol. Inform.
dc.rightsfechado
dc.rightshttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dc.sourceWeb of Science
dc.subjectLeafing
dc.subjectLeaf traits
dc.subjectCerrado
dc.subjectData validation
dc.subjectDigital camera
dc.subjectPhenology
dc.subjectDeciduous Broadleaf Forest
dc.subjectDigital Repeat Photography
dc.subjectClimate-change
dc.subjectCanopy Phenology
dc.subjectTropical Forests
dc.subjectLeaf
dc.subjectColor
dc.subjectTrees
dc.subjectImages
dc.subjectEvergreen
dc.titleUsing phenological cameras to track the green up in a cerrado savanna and its on-the-ground validation
dc.typeArtículos de revistas


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