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

Martin Kratky (), Jakub Jech () and Jitka Komarkova ()
Additional contact information
Martin Kratky: University of Pardubice
Jakub Jech: University of Pardubice
Jitka Komarkova: University of Pardubice

A chapter in Information Systems and Technological Advances for Sustainable Development, 2024, pp 142-150 from Springer

Abstract: Abstract 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.

Keywords: Spectral index; UAV; RGB image data (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-031-75329-9_16

Ordering information: This item can be ordered from
http://www.springer.com/9783031753299

DOI: 10.1007/978-3-031-75329-9_16

Access Statistics for this chapter

More chapters in Lecture Notes in Information Systems and Organization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().