Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.5/7092
Título: Utilização de imagens de alta resolução de detecção remota na gestão do montado de sobro
Autor: Penteado, Manuel Francisco Figueiredo Espírito Santo
Orientador: Pinto, Pedro Aguiar
Braga, Ricardo Pereira
Palavras-chave: precision agriculture
remote sensing
cork production
vegetation indices
NDVI
Data de Defesa: 2014
Editora: ISA
Citação: Penteado, M.F.F.E.S. - Utilização de imagens de alta resolução de detecção remota na gestão do montado de sobro. Lisboa: ISA, 2014, 119 p.
Resumo: This work consists in a study of a useful technology applied in precision agriculture: remote sensing. Remote sensing in forest management has nowadays, an important role, enabling to prevent and fight forest fires, to study the plant sanitary state, to inventory, and, more importantly, to estimate forest production. Forest production is the topic of this study, applying this technology to cork forest management. In this thesis we collected data in the field, essential to the forest inventory. We analyzed the data and correlated with remote sensing data (through the calculation of several vegetation and geometric indices) captured by a ultra-high resolution camera attached to an airplane. The images constituted a efficient and cheap way to get information able to be compared with the field data through adjusted models, in order to explain the spatial variability of the productivity and quality of cork. Using the visible and infrared bands, it was possible to calculate the vegetation indices like NDVI, PCD and IPVI that were able to find strong relations with the field data. The adjusted models were able to explain 58% of the spatial variability of the cork productivity from the cork oak forest we studied and they even able to explain 50% of the spatial variability of cork's quality. With the results obtained of this study, in the future we will be able to predict and get accurate and reliable conclusions related to the productivity and quality of cork, just through the use of remote sensing
Descrição: Mestrado em Engenharia Agronómica - Instituto Superior de Agronomia
URI: http://hdl.handle.net/10400.5/7092
Aparece nas colecções:BISA - Dissertações de Mestrado / Master Thesis

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