ESTIMATION OF CORK PRODUCTION USINGAERIAL IMAGERY1

Revista Árvore

Peter Surovy¹  Nuno De Almeida Ribeiro¹  João Santos Pereira¹  Atsushi Yoshimoto¹ 

关键词: NDVI;    Remote sensing;    Akaike Information Criteria;    NDVI;    Sensoriamento remoto;    Critério de Informação de Akaike;   

DOI  :  10.1590/0100-67622015000500008

来源: SciELO

【 摘 要 】

ABSTRACT 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.

【 授权许可】

CC BY   
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