Estimating the Number of Trees in Margasari Mangrove Forests of Lampung Through Aerial Images Using Adaptive Thresholding and Contour Extraction Methods
- https://doi.org/10.2991/aer.k.210603.022How to use a DOI?
- Remote Sensing, Image processing, Forest Monitoring, UAV
Estimating number of trees with field plots located in remote or inaccessible areas can be a costly and timely endeavor. Unmanned aerial vehicle (UAV) remote sensing allowing for the estimation of the forest vegetation offers an alternative to traditional ground-based forest measurements. It is an important supplement to traditional aerial and satellite remote sensing due to its flexible, fast and cost-effective capability for acquiring very high spatial resolution imagery. In this study, we explored the application of UAV to monitoring mangrove forests in Margasari Lampung Indonesia. Using the UAV, we collected aerial photos of the Margasari mangrove area. The adaptive thresholding and contour extraction methods were applied to measure the number of trees of the mangrove forest.
- © 2021, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Mona A Batubara AU - Syaiful Alam AU - Khoirin Nisa AU - Rizka WA Utami AU - Helmy Fitriawan AU - Ardian Ulvan PY - 2021 DA - 2021/06/04 TI - Estimating the Number of Trees in Margasari Mangrove Forests of Lampung Through Aerial Images Using Adaptive Thresholding and Contour Extraction Methods BT - Proceedings of the International Conference on Sustainable Biomass (ICSB 2019) PB - Atlantis Press SP - 131 EP - 136 SN - 2352-5401 UR - https://doi.org/10.2991/aer.k.210603.022 DO - https://doi.org/10.2991/aer.k.210603.022 ID - Batubara2021 ER -