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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Faculty of Engineering, Universitas Indonesia
2023
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| author | Eng L.S. Ismail R. Hashim W. Baharum A. |
| author2 | 57205240446 |
| author_facet | 57205240446 Eng L.S. Ismail R. Hashim W. Baharum A. |
| author_sort | Eng L.S. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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. |
| format | Article |
| id | my.uniten.dspace-24904 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
| publisher | Faculty of Engineering, Universitas Indonesia |
| record_format | dspace |
| 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 |
| spellingShingle | Eng L.S. Ismail R. Hashim W. Baharum A. The use of VARI, GLI, And VIgreen formulas in detecting vegetation in aerial images |
| title | 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_short | 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 |
| url_provider | http://dspace.uniten.edu.my/ |