Abordagem semi-automática de imagens multitemporais para caracterização e monitoramento das florestas plantadas de seringueira.

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dc.contributorLUCIANA SPINELLI DE ARAUJO, CNPMA; DANIEL GOMES DOS SANTOS W LOEBMANN, CNPMA; LUIZ EDUARDO VICENTE, CNPMA; PAOLA PIERIN BENSUASKI, Faculdade de Tecnologia - Unicamp.
dc.creatorARAUJO, L. S. de
dc.creatorLOEBMANN, D. G. dos S. W.
dc.creatorVICENTE, L. E.
dc.creatorBENSUASKI, P. P.
dc.date2018-01-09T23:14:26Z
dc.date2018-01-09T23:14:26Z
dc.date2018-01-09
dc.date2017
dc.date2018-03-12T11:11:11Z
dc.date.accessioned2026-07-07T05:05:41Z
dc.descriptionAbstract: The objective of this work is to present a multi-temporal analysis of images for the identification, characterization and monitoring of rubber tree crops. The use of high and medium spatial resolution images along with vegetation index analysis and the inclusion of images from the crop´s different phenological stages enabled its mapping and characterization for 2007 and 2015. The dynamic analysis of the culture for the period between 2007 and 2015 showed a growth rate of 170%, which corroborated the data from LUPA for 2007/2008 to 2013.
dc.formatp. 0725-0732.
dc.identifierIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... Santos: Inpe, 2017. Trabalho 59417.
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1084713
dc.identifier.urihttp://hdl.handle.net/123456789/480116
dc.languagepor
dc.rightsopenAccess
dc.subjectTemporal analysis
dc.subjectSensoriamento remoto
dc.subjectSeringueira
dc.subjectHevea
dc.subjectHevea Brasiliensis
dc.subjectRemote sensing
dc.subjectLandsat
dc.subjectrubber
dc.titleAbordagem semi-automática de imagens multitemporais para caracterização e monitoramento das florestas plantadas de seringueira.
dc.typeArtigo em anais e proceedings

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