dc.creatorLamparelli, RAC
dc.creatorMercante, E
dc.creatorRocha, JV
dc.creatorOpazo, MAU
dc.date2012
dc.date2014-07-30T18:06:19Z
dc.date2015-11-26T16:53:47Z
dc.date2014-07-30T18:06:19Z
dc.date2015-11-26T16:53:47Z
dc.date.accessioned2018-03-28T23:40:59Z
dc.date.available2018-03-28T23:40:59Z
dc.identifierInternational Journal Of Remote Sensing. Taylor & Francis Ltd, v. 33, n. 5, n. 1605, n. 1626, 2012.
dc.identifier0143-1161
dc.identifierWOS:000302161600015
dc.identifier10.1080/01431161.2011.593582
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/70013
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/70013
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1276667
dc.descriptionPreprocessing of imagery time series is needed in order to carry out crop vegetative cycles analysis. Automatic normalization is a very interesting tool in the atmospheric correction process of satellite image time series in contrast to the radiative models. Thus, the purpose of this article is to ascertain the impact on the spectral-temporal profile of soybean crops using normalization through the multivariate alteration detection (MAD) technique during the 2004/2005 soybean harvesting season in Brazil. The normalized difference and greenness vegetation indices (NDVI/GVI) were selected to represent the temporal spectral profile. Five images were used for this study and all images were corrected for the atmospheric effect through the MAD technique, using the 5S radioactive transfer model. As the main outcome, it was noticed that normalization caused a negative impact on the spectral curves analysed, smoothing their shapes and distorting the crop growth curve.
dc.description33
dc.description5
dc.description1605
dc.description1626
dc.languageen
dc.publisherTaylor & Francis Ltd
dc.publisherAbingdon
dc.publisherInglaterra
dc.relationInternational Journal Of Remote Sensing
dc.relationInt. J. Remote Sens.
dc.rightsfechado
dc.rightshttp://journalauthors.tandf.co.uk/permissions/reusingOwnWork.asp
dc.sourceWeb of Science
dc.subjectAutomatic Radiometric Normalization
dc.subjectMultitemporal Satellite Imagery
dc.subjectCover Change Detection
dc.subjectAgreement
dc.subjectPhenology
dc.subjectPatterns
dc.subjectMad
dc.titleImpact of the normalization process on the spectral-temporal profile of soybean crops based on vegetation indexes
dc.typeArtículos de revistas


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