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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10200 - Computer and information sciences

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název statě ve sborníku

Information Systems and Technological Advances for Sustainable Development

ISBN

978-3-031-75328-2

ISSN

2195-4968

e-ISSN

2195-4976

Počet stran výsledku

8

Strana od-do

142-150

Název nakladatele

Springer Nature Switzerland AG

Místo vydání

Cham

Místo konání akce

Košice

Datum konání akce

27. 5. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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