Publicação
Forest and fuel variables estimation and digital terrain modelling with airborne laser scanning and high resolution multi-spectral images
| Resumo: | The research Project PTDC/AGR-CFL/72380/2006, entitled "Forest and Fuel Variables Estimation and Digital Terrain Modelling with Airborne Laser Scanning and High Resolution Multi-Spectral Images", financed by the Portuguese foundation Fundação para a Ciência e Tecnologia (FCT), has as partners the University of Aveiro, the Faculty of Sciences and Technology of the University of Coimbra and the Institute of Agronomy of the Technical University of Lisbon. The project main objective is the development and testing of a new methodology for the production of forest inventory, including the height of shrubbery, and estimation of fuel variables, by combining LiDAR data with high-resolution CIR images. It will be here introduced and presented. |
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| Autores principais: | Tomé, Margarida |
| Outros Autores: | Pereira, Luísa; Gonçalves, Gil; Soares, Paula |
| Assunto: | forest inventory fuel variables terrain modelling airborne laser scanning multi-spectral image |
| Ano: | 2009 |
| País: | Portugal |
| Tipo de documento: | documento de conferência |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório da Universidade de Lisboa |
| Resumo: | The research Project PTDC/AGR-CFL/72380/2006, entitled "Forest and Fuel Variables Estimation and Digital Terrain Modelling with Airborne Laser Scanning and High Resolution Multi-Spectral Images", financed by the Portuguese foundation Fundação para a Ciência e Tecnologia (FCT), has as partners the University of Aveiro, the Faculty of Sciences and Technology of the University of Coimbra and the Institute of Agronomy of the Technical University of Lisbon. The project main objective is the development and testing of a new methodology for the production of forest inventory, including the height of shrubbery, and estimation of fuel variables, by combining LiDAR data with high-resolution CIR images. It will be here introduced and presented. |
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