@InProceedings{Macedo:2008:UtMoMi,
               author = "Macedo, Rodrigo de Campos",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Utiliza{\c{c}}{\~a}o de Modelo de Mistura Espectral para 
                         Estratifica{\c{c}}{\~a}o Et{\'a}ria em Plantios de Eucalyptus 
                         spp",
            booktitle = "Anais...",
                 year = "2008",
         organization = "Simp{\'o}sio Regional de Geoprocessamento e Sensoriamento Remoto, 
                         14.",
                 note = "Setores de Atividade: Silvicultura, Explora{\c{c}}{\~a}o 
                         Florestal e Servi{\c{c}}os Relacionados Com Estas Atividades. and 
                         {Informa{\c{c}}{\~o}es Adicionais: This present research has the 
                         goal to analyse the utilization of Model of Spectral Unmixing for 
                         separate Eucalyptus classes of age. The premise is that there is 
                         relationship between radiometric data extracted from LANDSAT-5/TM 
                         images and volume data estimated from Eucalyptus ssp. stands. 
                         There were four treatments and one testimony: i) fractions 
                         vegetation plus shadow} and {ii) fractions vegetation plus shadow 
                         plus soil} and {iii) fractions vegetation plus shadow and band 4 
                         (NIR)} and {iv) fractions vegetation plus shadow and NDVI} and and 
                         the testimony: bands 3 and 4. The study area is covered by 
                         Eucalyptus stands from VCP (Votorantim Celulose e Papel) company, 
                         located in Cap{\~a}o Bonito town, S{\~a}o Paulo state, Brazil. 
                         The fractions images was generated using surface reflectance from 
                         TM bands (B3, B4 and B5). The evaluation of classifications used 
                         three criteria: Confusion Matrix, Accuracy and Kappa Coefficient. 
                         The best result (for Model of Spectral Unmixing) was the 
                         utilization of fraction vegetation plus shadow, but the 
                         classification with the testimony (bands 3 and 4) had higher 
                         values of Accuracy and Kappa Coefficient..",
             keywords = "invent{\'a}rio florestal, processamento digital de imagens, 
                         sensoriamento remoto.",
             abstract = "O presente trabalho teve como objetivo avaliar a 
                         utiliza{\c{c}}{\~a}o do Modelo de Mistura Espectral para 
                         discriminar classes et{\'a}rias de Eucalyptus spp. A premissa 
                         {\'e} que h{\'a} rela{\c{c}}{\~a}o entre dados 
                         radiom{\'e}tricos extra{\'{\i}}dos da imagem LANDSAT-5/TM e 
                         volume estimado dos talh{\~o}es de Eucalyptus ssp. Realizaram-se 
                         quatro tratamentos e uma testemunha: i) fra{\c{c}}{\~o}es 
                         vegeta{\c{c}}{\~a}o + sombra; ii) fra{\c{c}}{\~o}es 
                         vegeta{\c{c}}{\~a}o + sombra + solo; iii) fra{\c{c}}{\~o}es 
                         vegeta{\c{c}}{\~a}o + sombra + banda 4 (NIR); iv) 
                         fra{\c{c}}{\~o}es vegeta{\c{c}}{\~a}o + sombra + NDVI; e como 
                         testemunha, bandas 3 e 4. A {\'a}rea de estudo {\'e} coberta por 
                         Eucalyptus, localizada em Cap{\~a}o Bonito, S{\~a}o Paulo. As 
                         imagens-fra{\c{c}}{\~a}o foram geradas utilizando 
                         superf{\'{\i}}cie de reflect{\^a}ncia das bandas 3, 4 e 5. A 
                         avalia{\c{c}}{\~a}o da classifica{\c{c}}{\~a}o utilizou 
                         tr{\^e}s crit{\'e}rios: Matriz de Confus{\~a}o, Acur{\'a}cia e 
                         Coeficiente Kappa. O melhor resultado foi a utiliza{\c{c}}{\~a}o 
                         da fra{\c{c}}{\~a}o vegeta{\c{c}}{\~a}o + sombra, mas a 
                         classifica{\c{c}}{\~a}o com a testemunha (bandas 3 e 4) obtive 
                         os maiores valores de Acur{\'a}cia e Coeficiente Kappa. 
                         Palavras-chaves: Modelo de Mistura, biomassa, Eucalyptus spp. 
                         Model of Espectral Unmixing for class age stratification on 
                         Eucalyptus spp stand ABSTRACT: This present research has the goal 
                         to analyse the utilization of Model of Spectral Unmixing for 
                         separate Eucalyptus classes of age. The premise is that there is 
                         relationship between radiometric data extracted from LANDSAT-5/TM 
                         images and volume data estimated from Eucalyptus ssp. stands. 
                         There were four treatments and one testimony: i) fractions 
                         vegetation plus shadow; ii) fractions vegetation plus shadow plus 
                         soil; iii) fractions vegetation plus shadow and band 4 (NIR); iv) 
                         fractions vegetation plus shadow and NDVI; and the testimony: 
                         bands 3 and 4. The study area is covered by Eucalyptus stands from 
                         VCP (Votorantim Celulose e Papel) company, located in Cap{\~a}o 
                         Bonito town, S{\~a}o Paulo state, Brazil. The fractions images 
                         was generated using surface reflectance from TM bands (B3, B4 and 
                         B5). The evaluation of classifications used three criteria: 
                         Confusion Matrix, Accuracy and Kappa Coefficient. The best result 
                         (for Model of Spectral Unmixing) was the utilization of fraction 
                         vegetation plus shadow, but the classification with the testimony 
                         (bands 3 and 4) had higher values of Accuracy and Kappa 
                         Coefficient.",
  conference-location = "Aracaju/SE",
      conference-year = "2008",
                label = "lattes: 2659602494903108 1 Macedo:2008:UTMOMI",
             language = "pt",
           targetfile = "Macedo_Geonordeste_2008.pdf",
        urlaccessdate = "09 maio 2024"
}