Estimating the Number of Trees in Margasari Mangrove Forests of Lampung Through Aerial Images Using Adaptive Thresholding and Contour Extraction Methods

DOI

10.2991/aer.k.210603.022How to use a DOI?

Keywords

Remote Sensing, Image processing, Forest Monitoring, UAV

Abstract

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.

Copyright

© 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/).

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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  - 10.2991/aer.k.210603.022
ID  - Batubara2021
ER  -