Utilização de imagens de alta resolução de detecção remota na gestão do ...

• Autor(es): Penteado, Manuel Francisco Figueiredo Espírito Santo
• Data: 2014
• Identificador Persistente: http://hdl.handle.net/10400.5/7092
• Origem: Repositório da UTL
• Assunto(s): precision agriculture; remote sensing; cork production; vegetation indices; NDVI
• Tipo de Documento: Dissertação de Mestrado
• Idioma: Português
• Orientador(es): Pinto, Pedro Aguiar; Braga, Ricardo Nuno Garcia Pereira

Descrição

Mestrado em Engenharia Agronómica - Instituto Superior de Agronomia 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