ESTIMATION OF CORK PRODUCTION USINGAERIAL IMAGERY

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F15%3A69062" target="_blank" >RIV/60460709:41320/15:69062 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1590/0100-67622015000500008" target="_blank" >http://dx.doi.org/10.1590/0100-67622015000500008</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1590/0100-67622015000500008" target="_blank" >10.1590/0100-67622015000500008</a>

Result language
angličtina
Original language name
ESTIMATION OF CORK PRODUCTION USINGAERIAL IMAGERY
Original language description
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 structureare 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 evaluatethe 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 b
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
GK - Forestry
OECD FORD branch
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Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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