Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.5/10597
Título: Estimation of cork production using aerial imagery
Outros títulos: Estimação da produção de cortiça usando imagens digitais aéreas
Autor: Surovy, Peter
Ribeiro, Nuno de Almeida
Pereira, João Santos
Yoshimoto, Atsushi
Palavras-chave: NDVI
remote sensing
Akaike information criteria
Data: 2015
Editora: Sociedade de Investigações Florestais
Citação: "Revista Árvore". ISSN 1806-9088. 39 (5) (2015) p. 853-861
Resumo: and organize harvest logistics (transport, storage, etc.). Common field inventory methods including the stem density, diameter and height structure are costly and generally point (plot) based. Furthermore, the irregular horizontal structure of cork oak stands makes it difficult, if not impossible, to interpolate between points. We propose a new method to estimate cork production using digital multispectral aerial imagery. We study the spectral response of individual trees in visible and near infrared spectra and then correlate that response with cork production prior to harvest. We use ground measurements of individual trees production to evaluate the model’s predictive capacity. We propose 14 candidate variables to predict cork production based on crown size in combination with different NDVI index derivates. We use Akaike Information Criteria to choose the best among them. The best model is composed of combinations of different NDVI derivates that include red, green, and blue channels. The proposed model is 15% more accurate than a model that includes only a crown projection without any spectral information
URI: http://hdl.handle.net/10400.5/10597
DOI: http://dx.doi.org/10.1590/0100-67622015000500008
Aparece nas colecções:CEF - Artigos de Revistas

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