DOIONLINE

DOIONLINE NO - IJASEAT-IRAJ-DOIONLINE-7406

Publish In
International Journal of Advances in Science, Engineering and Technology(IJASEAT)-IJASEAT
Journal Home
Volume Issue
Issue
Volume-5, Issue-1, Spl. Iss-3  ( Mar, 2017 )
Paper Title
Per-Month Carbon Absorption Estimation of Trees Using Drone Image
Author Name
Jeong Min Lee, Jeehee Koo, Tae-Woong Jung, Mu Wookpyeon
Affilition
Dept. of Advanced Technology Fusion, Division of Interdisciplinary Studies Social Eco-Tech Institute, 4Dept. of Civil Engineering Konkuk University, Seoul, Korea, Senior Researcher, R&D Innovation Center National Disaster Management, Ulsan, Korea,
Pages
8-10
Abstract
Using medium/high-resolution remote sensing to find areas with trees is done using statistical means or machine learning-based methods. In contrast, in this paper, high-resolution images from a drone were used to identify individual trees; then, tree crown diameter and tree height were used to calculate tree volume, which was ultimately used to estimate carbon absorption. Also, changes in carbon absorption were analyzed based on changes in vegetation density, confirming the need to obtainimages from remote sensing drones for different seasons. Index terms - Carbon Absorption, Classification, Drone Image, Remote Sensing, Tree Crown.
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