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@MastersThesis{Pess˘a:2016:CaEsEs,
               author = "Pess{\^o}a, Ana Carolina Moreira",
                title = "Caracteriza{\c{c}}{\~a}o espectral de est{\'a}gios sucessionais 
                         no dom{\'{\i}}nio Mata Atl{\^a}ntica em diferentes 
                         condi{\c{c}}{\~o}es de ilumina{\c{c}}{\~a}o local utilizando 
                         imagens TM/Landsat 5",
               school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                 year = "2016",
              address = "S{\~a}o Jos{\'e} dos Campos",
                month = "2016-03-14",
             keywords = "est{\'a}gios sucessionais, Tasseled Cap, ilumina{\c{c}}{\~a}o 
                         local, successional stages, local illumination.",
             abstract = "Florestas secund{\'a}rias possuem grande import{\^a}ncia na 
                         absor{\c{c}}{\~a}o de CO\$_{2}\$ atmosf{\'e}rico e no 
                         equil{\'{\i}}brio ecossist{\^e}mico perdido com a 
                         supress{\~a}o de florestas prim{\'a}rias. A Mata Atl{\^a}ntica, 
                         ecossistema altamente afetado pela a{\c{c}}{\~a}o 
                         antr{\'o}pica, possui fragmentos florestais em diferentes 
                         est{\'a}gios sucessionais, os quais s{\~a}o regulados legalmente 
                         mediante o estabelecimento de diretrizes espec{\'{\i}}ficas. A 
                         identifica{\c{c}}{\~a}o desses est{\'a}gios nos quais 
                         fragmentos florestais se encontram {\'e} interesse de diversos 
                         seguimentos da sociedade e de suma import{\^a}ncia para a 
                         prote{\c{c}}{\~a}o de diferentes ecossistemas. T{\'e}cnicas de 
                         sensoriamento remoto tem ganhado destaque em estudos de 
                         identifica{\c{c}}{\~a}o e de caracteriza{\c{c}}{\~a}o de 
                         est{\'a}gios sucessionais, por{\'e}m, o Dom{\'{\i}}nio Mata 
                         Atl{\^a}ntica acumulou poucos estudos utilizando esta abordagem. 
                         Neste contexto, este trabalho tem como objetivo caracterizar 
                         espectralmente diferentes est{\'a}gios sucessionais de fragmentos 
                         florestais no Dom{\'{\i}}nio Mata Atl{\^a}ntica, atrav{\'e}s 
                         de uma an{\'a}lise multitemporal de imagens TM/Landsat 5, levando 
                         ainda em considera{\c{c}}{\~a}o aspectos relacionados {\`a} 
                         topografia. Dezoito cenas TM/Landsat 5 abrangendo um intervalo 
                         total de 25 anos foram utilizadas para selecionar e classificar 
                         fragmentos florestais (aqui denominados de pol{\'{\i}}gonos) em 
                         diferentes est{\'a}gios sucessionais por 
                         interpreta{\c{c}}{\~a}o visual de imagens. Essa 
                         sele{\c{c}}{\~a}o levou em considera{\c{c}}{\~a}o a 
                         condi{\c{c}}{\~a}o de ilumina{\c{c}}{\~a}o de cada 
                         pol{\'{\i}}gono. Pol{\'{\i}}gonos em diferentes classes de 
                         ilumina{\c{c}}{\~a}o foram analisados independentemente. A 
                         partir da transforma{\c{c}}{\~a}o \emph{Tasseled Cap}, as 
                         fei{\c{c}}{\~o}es \emph{Brightness, Greenness e Wetness} 
                         compuseram um espa{\c{c}}o tridimensional no qual foi avaliada a 
                         din{\^a}mica espectral resultante da mudan{\c{c}}a na estrutura 
                         de dossel entre est{\'a}gios sucessionais. De acordo com a 
                         metodologia adotada, os resultados sugerem que {\'e} 
                         poss{\'{\i}}vel distinguir est{\'a}gios sucessionais por 
                         interpreta{\c{c}}{\~a}o visual de imagens TM/Landsat 5 levando 
                         em considera{\c{c}}{\~a}o a classe de ilumina{\c{c}}{\~a}o 
                         considerada. A classe Pouco Iluminado (PI) registrou maior 
                         n{\'u}mero de inconsist{\^e}ncias e, consequentemente, maior 
                         susceptibilidade a erros de classifica{\c{c}}{\~a}o. A 
                         metodologia por fatiamento em classes de ilumina{\c{c}}{\~a}o 
                         local destacou a necessidade de diferentes condi{\c{c}}{\~o}es 
                         de ilumina{\c{c}}{\~a}o serem tratadas independentemente. A 
                         caracteriza{\c{c}}{\~a}o espectral se mostrou importante como 
                         ferramenta de suporte para a interpreta{\c{c}}{\~a}o visual de 
                         imagens. ABSTRACT: Secondary forests have a remarkable weight in 
                         the absorption of atmospheric CO\$_{2}\$ and in the ecosystem 
                         balance lost due to the primary forests suppression. The Atlantic 
                         Forest, which is a highly affected ecosystem by human action, 
                         presents forest remnants in different successional stages. These 
                         successional stages are legally regulated through the 
                         establishment of specific legal guidelines. Identifying forest 
                         secondary succession stages has been one of the most important 
                         interests of several society segments and it has great importance 
                         to the legal protection of different ecosystems. Several studies 
                         have been carried out using remote sensing techniques for the 
                         identification and characterization of successional stages of 
                         forest fragments. However, the Atlantic Forest Domain accumulated 
                         few studies using this approach. In this context, the present 
                         study aims to spectrally characterize different successional 
                         stages of forest fragments in the Atlantic Forest Domain through a 
                         multitemporal analysis of TM/Landsat 5 images, taking into account 
                         aspects related to topography. Eighteen TM/Landsat 5 scenes 
                         covering a total period of 25 years were used to select and 
                         classify polygons in different successional stages through visual 
                         image interpretation. This selection considered the illumination 
                         condition of each polygon, so that polygons on different 
                         illumination classes could be analyzed independently. From 
                         Tasseled Cap transformation, the Brightness, Greenness and Wetness 
                         features composed a three-dimensional space in which the spectral 
                         dynamics resulting from canopy structural changes between 
                         successional stages could be characterized. According to the 
                         methodology adopted, the results suggest that successional stages 
                         can be distinguished by visual interpretation of TM/Landsat 5 
                         images as long as illumination conditions are considered. The less 
                         illuminated class recorded more inconsistencies and, consequently, 
                         higher susceptibility to misclassification. The methodology of 
                         slicing the images into illumination classes highlighted the need 
                         for different illumination conditions be treated independently. 
                         The spectral characterization showed to be useful as a support 
                         tool for the visual image interpretation.",
            committee = "Ponzoni, Fl{\'a}vio Jorge (presidente/orientador) and Sanches, 
                         Ieda Del'Arco (orientador) and Galv{\~a}o, L{\^e}nio Soares and 
                         Renn{\'o}, Camilo Daleles and Ribeiro, Milton Cezar",
           copyholder = "SID/SCD",
         englishtitle = "Spectral characterization of successional stages in the Atlantic 
                         Forest domain under different local illumination conditions using 
                         TM/Landsat 5 images",
             language = "pt",
                pages = "152",
                  ibi = "8JMKD3MGP3W34P/3L8MD8P",
                  url = "http://urlib.net/rep/8JMKD3MGP3W34P/3L8MD8P",
           targetfile = "publicacao.pdf",
        urlaccessdate = "05 dez. 2020"
}


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