Publicação
Estimation of cork production using aerial imagery
| dc.contributor.author | Surovy, Peter | |
| dc.contributor.author | Ribeiro, Nuno de Almeida | |
| dc.contributor.author | Pereira, João Santos | |
| dc.contributor.author | Yoshimoto, Atsushi | |
| dc.date.accessioned | 2016-01-07T15:58:06Z | |
| dc.date.available | 2016-01-07T15:58:06Z | |
| dc.date.issued | 2015 | |
| dc.description.abstract | 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 | pt_PT |
| dc.identifier.citation | "Revista Árvore". ISSN 1806-9088. 39 (5) (2015) p. 853-861 | pt_PT |
| dc.identifier.doi | http://dx.doi.org/10.1590/0100-67622015000500008 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10400.5/10597 | |
| dc.language.iso | eng | pt_PT |
| dc.publisher | Sociedade de Investigações Florestais | pt_PT |
| dc.subject | NDVI | pt_PT |
| dc.subject | remote sensing | pt_PT |
| dc.subject | Akaike information criteria | pt_PT |
| dc.title | Estimation of cork production using aerial imagery | pt_PT |
| dc.title.alternative | Estimação da produção de cortiça usando imagens digitais aéreas | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.conferencePlace | Viçosa, MG, Brasil | pt_PT |
| oaire.citation.title | Revista Árvore | pt_PT |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | article | pt_PT |