The use of VARI, GLI, And VIgreen formulas in detecting vegetation in aerial images

Lim Soon Eng, Rozita Ismail, Wahidah Hashim, Aslina Baharum

Research output: Contribution to journalArticle

Abstract

Vegetation monitoring is a task that requires much time and human effort, but by using an unmanned aerial vehicle with a system that can store captured data digitally, the task can be more manageable and efficient. Past research has shown many formulas were developed by researchers to capture vegetation data in varying conditions and equipment. This paper discusses an experiment conducted to test three of those formulas using visible band data images. The formulas are the visible atmospherically resistant index, the green leaf index, and the visible atmospherically resistant indices green. The objective of this paper is to report and discuss our findings from experiments conducted using each formula as well as to compare the accuracy of these formulas.

Original languageEnglish
Pages (from-to)1385-1394
Number of pages10
JournalInternational Journal of Technology
Volume10
Issue number7
DOIs
Publication statusPublished - 01 Jan 2019

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Antennas
Unmanned aerial vehicles (UAV)
Experiments
Monitoring
Vegetation
Experiment

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Strategy and Management
  • Management of Technology and Innovation

Cite this

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The use of VARI, GLI, And VIgreen formulas in detecting vegetation in aerial images. / Eng, Lim Soon; Ismail, Rozita; Hashim, Wahidah; Baharum, Aslina.

In: International Journal of Technology, Vol. 10, No. 7, 01.01.2019, p. 1385-1394.

Research output: Contribution to journalArticle

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