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Availability of Spectral Indices Based on RGB Image Data Obtained by Low-Cost UAV: Case Study

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F24%3A39921804" target="_blank" >RIV/00216275:25410/24:39921804 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007/978-3-031-75329-9_16" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-75329-9_16</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-75329-9_16" target="_blank" >10.1007/978-3-031-75329-9_16</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Availability of Spectral Indices Based on RGB Image Data Obtained by Low-Cost UAV: Case Study

  • Original language description

    Spectral indices, mostly based on multispectral image data, are vital tools in remote sensing applications to extract valuable information about the surface. One modern remote sensing tool is an unmanned aerial vehicle (UAV). UAVs can provide accurate image data on demand and carry multiple camera types. However, a limitation of low-cost UAVs is that they obtain only RGB image data. The RGB image data are based on the red, green, and blue parts of the visible light. Spectral indices can enhance spectral characteristics from RGB image data obtained by a UAV. This study used RGB image data of the Baroch nature reservation obtained by a low-cost UAV. Significant values of spectral indices were found in the RGB image data. The following spectral indices were used in this study: BCC, ExG(I), DSWI4, GCC, GLI, IKAW, MGRVI, MRBVI, NDYI, NGRDI, RCC, RGBVI, RGRI, RI, and VARI. Selected spectral indices based on calculation with RGB bands are used to process the collected imagery and identify the most common types of land cover: vegetation, bare land, and water.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10200 - Computer and information sciences

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2024

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Information Systems and Technological Advances for Sustainable Development

  • ISBN

    978-3-031-75328-2

  • ISSN

    2195-4968

  • e-ISSN

    2195-4976

  • Number of pages

    8

  • Pages from-to

    142-150

  • Publisher name

    Springer Nature Switzerland AG

  • Place of publication

    Cham

  • Event location

    Košice

  • Event date

    May 27, 2024

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article