Evolução espaço-temporal do manguezal do estuário do rio São Mateus (ES) empregando técnicas de sensoriamento remoto

• Ano de defesa: 2010
• Autor(a) principal: Silva, Elizabeth Dell’Orto e
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal do Espírito Santo; BR; Mestrado em Geografia; UFES; Programa de Pós-Graduação em Geografia
• Palavras-chave em Português: Estuary; Mangrove; Geoprocessing; Remote sensing; Analysis of main components; Supervised classification; Estuário; Manguezal; Classificação supervisionada; Manguezais; Sensoriamento remoto; Geoprocessamento; Análise de componentes principais; Estuários; Geografia; 91
• Link de acesso: http://repositorio.ufes.br/handle/10/3570

Based on the conceptual precepts of the General Theory of the System and on the theoretical methodological precepts of the Hierarchical Structure proposed by Schaeffer-Novelli et al. (2000) and yet on the classification of the environments where mangroves occur, from the geomorphologic point of view proposed by Thom (1984), this research sought to apply different levels of analysis to the mangrove ecosystem of the mouth of the São Mateus river (ES). The Landsat images of the years 1985, 1997 and 2009 were used in the time-spatial analysis of the mangrove vegetable coverage on the São Mateus river mouth. It was applied on these images the Analysis of Main Components technique in the way to obtain a better prominence of the mangrove vegetation. After the supervised classification of the Pc1/Pc4/Pc2 component it was found that the mangrove vegetation in year 1985 was approximately 788,2 ha, in 1997 it was 824,1 ha and in 2009 this area decreased to 790,1 ha. From the images 1985/1997/zero, 1997/2009/zero and 1985/2009/zero, in RGB, it was possible to identify the mangrove areas which suffered modifications through the years due to the eroding and deposition processes. Images Pc1 1985 / Pc1 1997 / zero, Pc1 1997 / Pc1 2009 / zero and Pc1 1985 / Pc1 2009 / zero, in RGB, permitted to see the changes occurred on the coast feature and on the coastline adjacent to the São Mateus river mouth.