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| Format: | Artículo científico |
| Language: | en |
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Universidade Federal de Viçosa
2015
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| Online Access: | https://www.redalyc.org/articulo.oa?id=48842815008 |
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Table of Contents:
- ESTIMATION OF CORK PRODUCTION USINGAERIAL IMAGERY Peter Surovy Nuno de Almeida Ribeiro João Santos Pereira Atsushi Yoshimoto Agrociencias NDVI Remote sensing Akaike Information Criteria Inventory and prediction of cork harvest over time and space is important to forest managers who must plan 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. 2015 artículo científico 0100-6762 https://www.redalyc.org/articulo.oa?id=48842815008 en http://www.redalyc.org/revista.oa?id=488 Revista Árvore application/pdf Universidade Federal de Viçosa Revista Árvore (Brasil) Num.5 Vol.39