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

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dc.citedby12
dc.contributor.authorEng L.S.en_US
dc.contributor.authorIsmail R.en_US
dc.contributor.authorHashim W.en_US
dc.contributor.authorBaharum A.en_US
dc.contributor.authorid57205240446en_US
dc.contributor.authorid36080877900en_US
dc.contributor.authorid11440260100en_US
dc.contributor.authorid55916175500en_US
dc.date.accessioned2023-05-29T07:28:34Z
dc.date.available2023-05-29T07:28:34Z
dc.date.issued2019
dc.description.abstractVegetation 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.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.14716/ijtech.v10i7.3275
dc.identifier.epage1394
dc.identifier.issue7
dc.identifier.scopus2-s2.0-85076012899
dc.identifier.spage1385
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85076012899&doi=10.14716%2fijtech.v10i7.3275&partnerID=40&md5=81cf716901e3b2a8eaed70327bc1bcd4
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24904
dc.identifier.volume10
dc.publisherFaculty of Engineering, Universitas Indonesiaen_US
dc.relation.ispartofAll Open Access, Gold
dc.sourceScopus
dc.sourcetitleInternational Journal of Technology
dc.titleThe use of VARI, GLI, And VIgreen formulas in detecting vegetation in aerial imagesen_US
dc.typeArticleen_US
dspace.entity.typePublication
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