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Comparison of Vegetation Spectral Indices Based on UAV Data : Land Cover Identification Near Small Water Bodies

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F20%3A39916156" target="_blank" >RIV/00216275:25410/20:39916156 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.23919/CISTI49556.2020.9140899" target="_blank" >http://dx.doi.org/10.23919/CISTI49556.2020.9140899</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.23919/CISTI49556.2020.9140899" target="_blank" >10.23919/CISTI49556.2020.9140899</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Comparison of Vegetation Spectral Indices Based on UAV Data : Land Cover Identification Near Small Water Bodies

  • Original language description

    Middle- and low-class unmanned aerial vehicles (UAV) can be used for land cover/land use identification on demand even when equipped only with an RGB camera. UAV is used as a cheap and on-demand available solution for remote data sensing for smaller areas, with respect to legal regulations and weather conditions. The paper is focused on land cover identification near a small water body, which is based on RGB data collected by UAV and on vegetation spectral indices. Various vegetation indices based on calculating with RGB bands are used to process the collected imagery and identify particular land cover types. NGRDI, GLI2 and VARI provided the most accurate results.

  • 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

    2020

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Iberian Conference on Information Systems and Technologies, CISTI , volume 2020-June

  • ISBN

    978-989-54-6590-3

  • ISSN

    2166-0727

  • e-ISSN

    2166-0727

  • Number of pages

    5

  • Pages from-to

    9140899

  • Publisher name

    IEEE (Institute of Electrical and Electronics Engineers)

  • Place of publication

    New York

  • Event location

    Sevilla

  • Event date

    Jun 24, 2020

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article

    000612720600098