Técnicas de processamento digital de imagens para análise de integridade do dossel - um modelo em mata semidecídua

• Ano de defesa: 2014
• Autor(a) principal: Yamada, Thiago
• Orientador(a): Soares, João Juares
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de São Carlos
• Programa de Pós-Graduação: Programa de Pós-Graduação em Ecologia e Recursos Naturais - PPGERN
• País: BR
• Palavras-chave em Português: Ecologia das florestas; Cobertura do dossel; Integridade do dossel; Processamento de imagens - técnicas digitais; Fragmento de floresta estacional semidecídua; Mata semidecídua; Imagens da cobertura do dossel
• Palavras-chave em Inglês: Digital image processing; Semideciduous forest fragment; Canopy cover; Canopy integrity; Forest ecology
• Área do conhecimento CNPq: CIENCIAS BIOLOGICAS::ECOLOGIA
• Link de acesso: https://repositorio.ufscar.br/handle/20.500.14289/1824

The forests management and conservation are recently subjects discussed throughout the world, because they are directly correlation with the maintenance of environmental functions and services provided by natural environments. With growth of urban centers and extensive agriculture the natural areas have suffered and are suffering a big pressure making arise degraded areas constantly that encourage the recuperation movement in those areas. Moreover, the selective cut and the formation natural or artificial clearings make discontinuities in the canopy, irregularities reflected in the structure and profile. However, to realize the restoration and management, for example, a forest, first must to know your conservation state. This thesis intend to map more and less conserved areas through the analysis of structure and integrity in the canopy, realized with: canopy cover images, canopy closure images, vertical profile sketch, panchromatic image HRC of satellite CBERS-2B, and techniques digital image processing, beyond field survey. With intention to create a model able to identify, map, and monitor the forest degraded.