All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

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

The result's identifiers

  • Result code in 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>

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

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

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2023

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    International Conference on Information and Digital Technologies 2023, IDT 2023

  • ISBN

    979-8-3503-0586-9

  • ISSN

    2575-677X

  • e-ISSN

    2575-677X

  • Number of pages

    6

  • Pages from-to

    51-56

  • Publisher name

    IEEE (Institute of Electrical and Electronics Engineers)

  • Place of publication

    New York

  • Event location

    Žilina

  • Event date

    Jun 20, 2023

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article