Unmanned aerial vehicles for alien plant species detection and monitoring

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985939%3A_____%2F15%3A00447762" target="_blank" >RIV/67985939:_____/15:00447762 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.5194/isprsarchives-XL-1-W4-83-2015" target="_blank" >http://dx.doi.org/10.5194/isprsarchives-XL-1-W4-83-2015</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5194/isprsarchives-XL-1-W4-83-2015" target="_blank" >10.5194/isprsarchives-XL-1-W4-83-2015</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Unmanned aerial vehicles for alien plant species detection and monitoring

Popis výsledku v původním jazyce

Invasive species spread rapidly and their eradication is difficult. New methods enabling fast and efficient monitoring are urgently needed for their successful control. Remote sensing can improve early detection of invading plants and make their management more efficient and less expensive. In an ongoing project in the Czech Republic, we aim at developing innovative methods of mapping invasive plant species (semi-automatic detection algorithms) by using purposely designed unmanned aircraft (UAV). We examine possibilities for detection of two tree and two herb invasive species. Our aim is to establish fast, repeatable and efficient computer-assisted method of timely monitoring, reducing the costs of extensive field campaigns. For finding the best detection algorithm we test various classification approaches (object-, pixel-based and hybrid). Thanks to its flexibility and low cost, UAV enables assessing the effect of phenological stage and spatial resolution, and is most suitable for mon

Název v anglickém jazyce

Unmanned aerial vehicles for alien plant species detection and monitoring

Popis výsledku anglicky

Invasive species spread rapidly and their eradication is difficult. New methods enabling fast and efficient monitoring are urgently needed for their successful control. Remote sensing can improve early detection of invading plants and make their management more efficient and less expensive. In an ongoing project in the Czech Republic, we aim at developing innovative methods of mapping invasive plant species (semi-automatic detection algorithms) by using purposely designed unmanned aircraft (UAV). We examine possibilities for detection of two tree and two herb invasive species. Our aim is to establish fast, repeatable and efficient computer-assisted method of timely monitoring, reducing the costs of extensive field campaigns. For finding the best detection algorithm we test various classification approaches (object-, pixel-based and hybrid). Thanks to its flexibility and low cost, UAV enables assessing the effect of phenological stage and spatial resolution, and is most suitable for mon

Druh

D - Stať ve sborníku

CEP obor

DO - Ochrana krajinných území

OECD FORD obor

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Projekt

<a href="/cs/project/TA04020455" target="_blank" >TA04020455: Detekce a monitoring invazních druhů s využitím bezpilotních leteckých prostředků</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

ISPRS Archives, ISPRS UAV-g2015

ISBN

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ISSN

2194-9034

e-ISSN

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Počet stran výsledku

8

Strana od-do

83-90

Název nakladatele

Copernicus GmbH

Místo vydání

Göttingen

Místo konání akce

Toronto

Datum konání akce

30. 8. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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