Evaluating the Use of Very High-Resolution RGB Imagery from UAV for Vegetation Classification

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F23%3A39920635" target="_blank" >RIV/00216275:25410/23:39920635 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/10194395" target="_blank" >https://ieeexplore.ieee.org/document/10194395</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/IDT59031.2023.10194395" target="_blank" >10.1109/IDT59031.2023.10194395</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Evaluating the Use of Very High-Resolution RGB Imagery from UAV for Vegetation Classification

Popis výsledku v původním jazyce

The article explores using very high-resolution RGB data from unmanned aerial vehicles (UAVs) to explore the possibilities of utilizing data to monitor vegetation. The Baroch nature reserve, located in the Pardubice region of the Czech Republic, is used as an area of interest. Data is collected using the UAV DJI Mavic 2 DUAL Enterprise. The reserve is overgrown mainly with reed and cattail and is used as a pasture. The paper aims to determine the effectiveness of utilizing UAV technology and very high-resolution RGB data to identify, monitor, and classify vegetation types in this grassy habitat and to provide insights into the practicality of using such data for ecological research and landscape management purposes.

Název v anglickém jazyce

Evaluating the Use of Very High-Resolution RGB Imagery from UAV for Vegetation Classification

Popis výsledku anglicky

The article explores using very high-resolution RGB data from unmanned aerial vehicles (UAVs) to explore the possibilities of utilizing data to monitor vegetation. The Baroch nature reserve, located in the Pardubice region of the Czech Republic, is used as an area of interest. Data is collected using the UAV DJI Mavic 2 DUAL Enterprise. The reserve is overgrown mainly with reed and cattail and is used as a pasture. The paper aims to determine the effectiveness of utilizing UAV technology and very high-resolution RGB data to identify, monitor, and classify vegetation types in this grassy habitat and to provide insights into the practicality of using such data for ecological research and landscape management purposes.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název statě ve sborníku

International Conference on Information and Digital Technologies 2023, IDT 2023

ISBN

979-8-3503-0586-9

ISSN

2575-677X

e-ISSN

2575-677X

Počet stran výsledku

6

Strana od-do

51-56

Název nakladatele

IEEE (Institute of Electrical and Electronics Engineers)

Místo vydání

New York

Místo konání akce

Žilina

Datum konání akce

20. 6. 2023

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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