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Vegetation monitoring using UAV: A preliminary study

Remote sensing using drone or UAV (unmanned aerial vehicle) is the current trends and this technology can provide unrevealed life-altering benefits to mankind. Drones are being used in many sectors such as for military, research, agricultural and recreational means. This technology not only can redu...

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Main Authors: Eng L.S., Ismail R., Hashim W., Mohamed R.R., Baharum A.
Other Authors: 57205240446
Format: Article
Published: Science Publishing Corporation Inc 2023
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spelling my.uniten.dspace-240462023-05-29T14:54:46Z Vegetation monitoring using UAV: A preliminary study Eng L.S. Ismail R. Hashim W. Mohamed R.R. Baharum A. 57205240446 36080877900 11440260100 56996859800 55916175500 Remote sensing using drone or UAV (unmanned aerial vehicle) is the current trends and this technology can provide unrevealed life-altering benefits to mankind. Drones are being used in many sectors such as for military, research, agricultural and recreational means. This technology not only can reduce the time of inspection, but it is also giving many benefits such as provides real-time live video for site inspection that can help user to analyze site logistic and speeding up the overall tasks. However, vegetation monitoring using remote sensing has its own challenges in terms of processing the captured image and data. Somehow, previous research has suggested a lot of different possible algorithm that could be used for post-processing the data gathered. Nevertheless, most of the algorithm requires a specific sensor in order to get the result. The objective of this paper is to identify and verify the algorithm that is suitable to process the vegetation image. This research will use the data gathered from various area by using consumer camera and process by using Visible Atmospherically Resistant Index (VARI) indices. Finally, this research will observe the accuracy of the result analyzed using the VARI and identify the characteristic of the algorithm. � 2018 Authors. Final 2023-05-29T06:54:45Z 2023-05-29T06:54:45Z 2018 Article 10.14419/ijet.v7i4.35.22736 2-s2.0-85059236224 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059236224&doi=10.14419%2fijet.v7i4.35.22736&partnerID=40&md5=1304dc2fb200e0753d7c253326353609 https://irepository.uniten.edu.my/handle/123456789/24046 7 4 223 227 All Open Access, Bronze, Green Science Publishing Corporation Inc 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 Remote sensing using drone or UAV (unmanned aerial vehicle) is the current trends and this technology can provide unrevealed life-altering benefits to mankind. Drones are being used in many sectors such as for military, research, agricultural and recreational means. This technology not only can reduce the time of inspection, but it is also giving many benefits such as provides real-time live video for site inspection that can help user to analyze site logistic and speeding up the overall tasks. However, vegetation monitoring using remote sensing has its own challenges in terms of processing the captured image and data. Somehow, previous research has suggested a lot of different possible algorithm that could be used for post-processing the data gathered. Nevertheless, most of the algorithm requires a specific sensor in order to get the result. The objective of this paper is to identify and verify the algorithm that is suitable to process the vegetation image. This research will use the data gathered from various area by using consumer camera and process by using Visible Atmospherically Resistant Index (VARI) indices. Finally, this research will observe the accuracy of the result analyzed using the VARI and identify the characteristic of the algorithm. � 2018 Authors.
author2 57205240446
author_facet 57205240446
Eng L.S.
Ismail R.
Hashim W.
Mohamed R.R.
Baharum A.
format Article
author Eng L.S.
Ismail R.
Hashim W.
Mohamed R.R.
Baharum A.
spellingShingle Eng L.S.
Ismail R.
Hashim W.
Mohamed R.R.
Baharum A.
Vegetation monitoring using UAV: A preliminary study
author_sort Eng L.S.
title Vegetation monitoring using UAV: A preliminary study
title_short Vegetation monitoring using UAV: A preliminary study
title_full Vegetation monitoring using UAV: A preliminary study
title_fullStr Vegetation monitoring using UAV: A preliminary study
title_full_unstemmed Vegetation monitoring using UAV: A preliminary study
title_sort vegetation monitoring using uav: a preliminary study
publisher Science Publishing Corporation Inc
publishDate 2023
_version_ 1806426248289714176
score 13.211869

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