3D Hyperspectral and Thermal Analysis of Forest Trees Focusing on Bark Beetle Infestation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F18%3A43900767" target="_blank" >RIV/60076658:12310/18:43900767 - isvavai.cz</a>

Výsledek na webu

<a href="https://hal.univ-reunion.fr/hal-01958426" target="_blank" >https://hal.univ-reunion.fr/hal-01958426</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

3D Hyperspectral and Thermal Analysis of Forest Trees Focusing on Bark Beetle Infestation

Popis výsledku v původním jazyce

Disturbances caused by bark beetles are a massive problem for forestry in the northern hemisphere. Especially the central part of the national parks Bavarian Forest (Germany) and umava (Czech Republic) are often affected by bark beetle infestations. Recently, an early stage detection of bark beetle infestation is only possible by terrestrial inspection, which is labor intensive and costly. Thus, effective methods allowing an early-stage detection of bark beetle infestation of larger areas are needed. The joint project BarkBeeDet aims at investigating the detection of trees infested by bark beetle at an early stage (green-attack-stage) using methods of UAV (Unmanned Air Vehicle)-based imaging with LiDAR, hyperspectral and thermal IR sensors. The data of the different sensors is used in conjunction for image analysis, whereas methods of 3D object-based image analysis are applied. The paper present outlines first results of imaging and 3D object-based image analysis and concludes the potential of this method for an effective detection of bark beetle infestation.

Název v anglickém jazyce

3D Hyperspectral and Thermal Analysis of Forest Trees Focusing on Bark Beetle Infestation

Popis výsledku anglicky

Disturbances caused by bark beetles are a massive problem for forestry in the northern hemisphere. Especially the central part of the national parks Bavarian Forest (Germany) and umava (Czech Republic) are often affected by bark beetle infestations. Recently, an early stage detection of bark beetle infestation is only possible by terrestrial inspection, which is labor intensive and costly. Thus, effective methods allowing an early-stage detection of bark beetle infestation of larger areas are needed. The joint project BarkBeeDet aims at investigating the detection of trees infested by bark beetle at an early stage (green-attack-stage) using methods of UAV (Unmanned Air Vehicle)-based imaging with LiDAR, hyperspectral and thermal IR sensors. The data of the different sensors is used in conjunction for image analysis, whereas methods of 3D object-based image analysis are applied. The paper present outlines first results of imaging and 3D object-based image analysis and concludes the potential of this method for an effective detection of bark beetle infestation.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

10618 - Ecology

Projekt

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Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2018

Kód důvěrnosti údajů

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