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

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 vegeta...

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Main Authors: Eng L.S., Ismail R., Hashim W., Baharum A.
Other Authors: 57205240446
Format: Article
Published: Faculty of Engineering, Universitas Indonesia 2023
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spelling my.uniten.dspace-249042023-05-29T15:28:35Z The use of VARI, GLI, And VIgreen formulas in detecting vegetation in aerial images Eng L.S. Ismail R. Hashim W. Baharum A. 57205240446 36080877900 11440260100 55916175500 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. Final 2023-05-29T07:28:34Z 2023-05-29T07:28:34Z 2019 Article 10.14716/ijtech.v10i7.3275 2-s2.0-85076012899 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076012899&doi=10.14716%2fijtech.v10i7.3275&partnerID=40&md5=81cf716901e3b2a8eaed70327bc1bcd4 https://irepository.uniten.edu.my/handle/123456789/24904 10 7 1385 1394 All Open Access, Gold Faculty of Engineering, Universitas Indonesia Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description 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.
author2 57205240446
author_facet 57205240446
Eng L.S.
Ismail R.
Hashim W.
Baharum A.
format Article
author Eng L.S.
Ismail R.
Hashim W.
Baharum A.
spellingShingle Eng L.S.
Ismail R.
Hashim W.
Baharum A.
The use of VARI, GLI, And VIgreen formulas in detecting vegetation in aerial images
author_sort Eng L.S.
title The use of VARI, GLI, And VIgreen formulas in detecting vegetation in aerial images
title_short The use of VARI, GLI, And VIgreen formulas in detecting vegetation in aerial images
title_full The use of VARI, GLI, And VIgreen formulas in detecting vegetation in aerial images
title_fullStr The use of VARI, GLI, And VIgreen formulas in detecting vegetation in aerial images
title_full_unstemmed The use of VARI, GLI, And VIgreen formulas in detecting vegetation in aerial images
title_sort use of vari, gli, and vigreen formulas in detecting vegetation in aerial images
publisher Faculty of Engineering, Universitas Indonesia
publishDate 2023
_version_ 1806423378110709760
score 13.222552