Georreferenciamento e processamento de imagens de sensoriamento remoto aplicados à análise da arborização urbana em Londrina
Urban tree inventory requires field surveys which are difficult undertaking. Despite this, such surveys are necessary mainly to permit the definition of environmental management guidelines by public agencies, prefectures, and others. The aim of this work is to evaluate if it is possible to character...
| Autor principal: | Porto, Leticia Rosim |
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| Formato: | Trabalho de Conclusão de Curso (Graduação) |
| Idioma: | Português |
| Publicado em: |
Universidade Tecnológica Federal do Paraná
2020
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| Assuntos: | |
| Acesso em linha: |
http://repositorio.utfpr.edu.br/jspui/handle/1/12093 |
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| Resumo: |
Urban tree inventory requires field surveys which are difficult undertaking. Despite this, such surveys are necessary mainly to permit the definition of environmental management guidelines by public agencies, prefectures, and others. The aim of this work is to evaluate if it is possible to characterize qualitatively the spatial distribution of urban trees from Remote Sensing imagery. It was collected a data set about trees of
central area of Londrina city, Paraná State, which were geocoded and integrated in a geographic database, which allows queries by expession. It was applied the Kernel density operator, in order to compare the results with vegetation index NDVI and EVI, generated with RapidEye imagery, and to assess the fitting of a regression model. The indexes were calculated using the equations presented in literature and also by
replacing the term that correspond to the red band by red edge band. The data modeling was done for the following streets: São Salvador, Alagoas and Cuiabá. The results presented the highest values for the regression model of the EVI índex with the red edge band for Cuiabá street with a determination coefficient slightly above 17.27%. This result showed that the applied method was not successful for the evaluation of urban trees from the Remote Sensing imagery and techniques used. However, the georeferenced database and what it enables in terms of queries ar important tools of public management. |
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