QUT ePrints

Advances in vegetation management for power line corridor monitoring using aerial remote sensing techniques

Li, Zhengrong, Walker, Rodney, Hayward, Ross, & Mejias, Luis (2010) Advances in vegetation management for power line corridor monitoring using aerial remote sensing techniques. In Proceedings of the First International Conference on Applied Robotics for the Power Industry (CARPI), IEEE, Montreal, Canada.

View at publisher

Abstract

This paper presents a comprehensive discussion of vegetation management approaches in power line corridors based on aerial remote sensing techniques. We address three issues 1) strategies for risk management in power line corridors, 2) selection of suitable platforms and sensor suite for data collection and 3) the progress in automated data processing techniques for vegetation management. We present initial results from a series of experiments and, challenges and lessons learnt from our project.

Impact and interest:

0 citations in Scopus
Search Google Scholar™

Citation countsare sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

636 since deposited on 20 Dec 2010
189 in the past twelve months

Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 39272
Item Type: Conference Paper
Additional URLs:
Keywords: Power Line Corridor Monitoring, Vegetation Management, Unmanned Aerial System (UAS), Remote Sensing, LiDAR, Multi-spectral Imagery, Power Line Detection, Tree Crown Segmentation, Tree Species Classification
ISBN: 9781424466344
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > GEOMATIC ENGINEERING (090900) > Photogrammetry and Remote Sensing (090905)
Divisions: Current > Research Centres > Australian Research Centre for Aerospace Automation
Past > Schools > Computer Science
Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > QUT Faculties & Divisions > Faculty of Science and Technology
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2010 IEEE.
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 20 Dec 2010 13:53
Last Modified: 22 Jun 2011 01:02

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page