Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/3269
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dc.contributor.authorNuwantha, M. B-
dc.contributor.authorJayalath, C. N-
dc.contributor.authorRathnayaka, M.P-
dc.contributor.authorFernando, D. C-
dc.contributor.authorRupasinghe, L-
dc.contributor.authorChethana, M-
dc.date.accessioned2023-02-11T09:29:11Z-
dc.date.available2023-02-11T09:29:11Z-
dc.date.issued2022-12-29-
dc.identifier.citationM. B. Nuwantha, C. N. Jayalath, M. P. Rathnayaka, D. C. Fernando, L. Rupasinghe and M. Chethana, "A Drone-Based Approach for Deforestation Monitoring," 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT), Kharagpur, India, 2022, pp. 1-6, doi: 10.1109/ICCCNT54827.2022.9984404.en_US
dc.identifier.isbn978-1-6654-5262-5-
dc.identifier.urihttps://rda.sliit.lk/handle/123456789/3269-
dc.description.abstractMost importantly the forests play a major role in providing worldwide oxygen and other essentials necessity. Monitoring the forest cover from above the forest canopy level can be easily done by retrieving images from the space satellites. Yet, it’s a great challenge to identify the deforestation as they are more complex. To overcome the complexity, the need of taking images from a considerable height is important. To do this part this research shows that unmanned ariel vehicles as knows as drones can do it conveniently and assist the process accurately. Monitoring the forest cover using drones is accurate but its challenging to break the barriers such as discovering objects and filtrate them to parts to process the correct data to arbitration as output. In this research project planned to design the image processing mechanism to success those mention obstacles to give successful output. To contribute the development of this research project in here using more effective approaches mostly using drones and automated software solution with getting help of less manpower on it. Utilization of the monitoring process is more effective with the real time image processing from the drone footages taken from the targeted site with the help of the software. The research is expecting the final output should be much as effective. Finally, this research project is scoping to track deforestation and we evaluated current literature on drone environmental applications, including forest monitoring, and drew on our own practical experience flying tiny drones to map and monitor tropical forests. Also, this project believes that the use of small drones can assist tropical communities in better managing and conserving the forests, while also benefiting partner organizations, governments, and forest data end-users, particularly those involved in forestry, biodiversity conservation, and climate change.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT);-
dc.subjectDrone-Based Approachen_US
dc.subjectDeforestation Monitoringen_US
dc.titleA Drone-Based Approach for Deforestation Monitoringen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ICCCNT54827.2022.9984404en_US
Appears in Collections:Department of Information Technology
Research Papers - IEEE
Research Papers - SLIIT Staff Publications
Research Publications -Dept of Information Technology

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