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Discriminação de variedades de citros em imagens CCD/CBERS-2 Discrimination of citrus varieties using CCD/CBERS-2 satellite imagery

By Ieda Del'Arco Sanches, Salete Gürtler and Antonio Roberto Formaggio

Abstract

O presente trabalho teve o objetivo de avaliar as imagens CCD/CBERS-2 quanto à possibilidade de discriminarem variedades de citros. A área de estudo localiza-se em Itirapina (SP) e, para este estudo, foram utilizadas imagens CCD de três datas (30/05/2004, 16/08/2004 e 11/09/2004). Um modelo que integra os elementos componentes da cena citrícola sensoriada é proposto com o objetivo de explicar a variabilidade das respostas das parcelas de citros em imagens orbitais do tipo CCD/CBERS-2. Foram feitas classificações pelos algoritmos Isoseg e Maxver e, de acordo com o índice kappa, concluiu-se que é possível obterem-se exatidões qualificadas como muito boas, sendo que as melhores classificações foram conseguidas com imagens da estação seca.<br>This paper was aimed at evaluating the possibility of discriminating citrus varieties in CCD imageries from CBERS-2 satellite ("China-Brazil Earth Resouces Satellite"). The study area is located in Itirapina, São Paulo State. For this study, three CCD images from 2004 were acquired (May 30, August 16, and September 11). In order to acquire a better understanding and for explaining the variability of the spectral behavior of the citrus areas in orbital images (like as the CCD/CBERS-2 images) a model that integrates the elements of the citrus scene is proposed and discussed. The images were classified by Isoseg and MaxVer classifiers. According to kappa index, it was possible to obtain classifications qualified as 'very good'. The best results were obtained with the images from the dry season

Topics: sensoriamento remoto, citros, sensor CCD/CBERS-2, classificação automática, Isoseg, Maxver, remote sensing, citrus cultivars, CCD/CBERS-2 imagery, automatic classification, Isoseg, Maxver, Animal culture, SF1-1100, Agriculture, S, DOAJ:Animal Sciences, DOAJ:Agriculture and Food Sciences, Agriculture (General), S1-972
Publisher: Universidade Federal de Santa Maria
Year: 2008
DOI identifier: 10.1590/S0103-84782008000100017
OAI identifier: oai:doaj.org/article:01b8ca5759dd425ca4a21d6c1f1b5727
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