Please use this identifier to cite or link to this item: http://dspace2020.uniten.edu.my:8080/handle/123456789/21396
Title: The use of VARI, GLI, And VIgreen formulas in detecting vegetation in aerial images
Authors: Eng L.S.
Ismail R.
Hashim W.
Baharum A.
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Issue Date: 2019
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. © IJTech 2019.
URI: http://dspace2020.uniten.edu.my:8080/handle/123456789/21396
Appears in Collections:UNITEN Ebook and Article

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