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
—