Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/106195
Type: Artigo de periódico
Title: Mapping Of Soybean (glycine Max (l.) Merr.) Culture By Modis/terra And Tm/landsat 5: A Comparative [mapeamento De Semeaduras De Soja (glycine Max (l.)merr.) Mediante Dados Modis/terra E Tm/landsat 5: Um Comparativo]
Author: Lamparelli R.A.C.
De Carvalho W.M.O.
Mercante E.
Abstract: The objective of this work was to compare the soybean crop mapping in the western of Parana State by MODIS/Terra and TM/Landsat 5 images. Firstly, it was generated a soybean crop mask using six TM images covering the crop season, which was used as a reference. The images were submitted to Parallelepiped and Maximum Likelihood digital classification algorithms, followed by visual inspection. Four MODIS images, covering the vegetative peak, were classified using the Parallelepiped method. The quality assessment of MODIS and TM classification was carried out through an Error Matrix, considering 100 sample points between soybean or not soybean, randomly allocated in each of the eight municipalities within the study area. The results showed that both the Overall Classification (OC) and the Kappa Index (KI) have produced values ranging from 0.55 to 0.80, considered good to very good performances, either in TM or MODIS images. When OC and KI, from both sensors were compared, it wasn't found no statistical difference between them. The soybean mapping, using MODIS, has produced 70% of reliance in terms of users. The main conclusion is that the mapping of soybean by MODIS is feasible, with the advantage to have better temporal resolution than Landsat, and to be available on the internet, free of charge.
Editor: 
Rights: aberto
Identifier DOI: 10.1590/S0100-69162008000200014
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-49449089546&partnerID=40&md5=e71c0ff8b3191e7a40b876032d234c25
Date Issue: 2008
Appears in Collections:Unicamp - Artigos e Outros Documentos

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