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Publicação
Estimation of cork production using aerial imagery
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Orientador(es)
Resumo(s)
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
Descrição
Palavras-chave
NDVI remote sensing Akaike information criteria
Contexto Educativo
Citação
"Revista Árvore". ISSN 1806-9088. 39 (5) (2015) p. 853-861
Editora
Sociedade de Investigações Florestais