ESTIMATION OF CORK PRODUCTION USINGAERIAL IMAGERY

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

ESTIMATION OF CORK PRODUCTION USINGAERIAL IMAGERY

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

ESTIMATION OF CORK PRODUCTION USINGAERIAL IMAGERY

Popis výsledku anglicky

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

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

GK - Lesnictví

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

REVISTA ARVORE

ISSN

0100-6762

e-ISSN

—

Svazek periodika

39

Číslo periodika v rámci svazku

5

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

9

Strana od-do

853-861

Kód UT WoS článku

000366101200008

EID výsledku v databázi Scopus

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