A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Extracting trees in an urban environment using airborne LiDAR
Urban forests represent a considerable financial investment for cities. Despite the efforts and resources expended on the maintenance of trees, cities often lack comprehensive information on their condition. Light detection and ranging (LiDAR), a remote sensing technology already employed in commercial forest management, shows significant potential as a tool for monitoring urban forests. Automated data processing algorithms are required for extracting information at an individual tree basis from LiDAR data. Here, two methods for detecting and delineating trees, variable window filtering (VWF) and multi-scale segment integration (MSI), are applied to two urban plots. The accuracy of both methods is reported in terms of the frequency of errors of omission and commission. Results show a broad variation in the performance between the two methods depending on tree age, species and location. On average, the MSI approach produced fewer errors, which make it a potentially stronger candidate for applications in urban forest management. ; Forestry, Faculty of ; Forest Resources Management, Department of ; Unreviewed ; Graduate
Extracting trees in an urban environment using airborne LiDAR
Urban forests represent a considerable financial investment for cities. Despite the efforts and resources expended on the maintenance of trees, cities often lack comprehensive information on their condition. Light detection and ranging (LiDAR), a remote sensing technology already employed in commercial forest management, shows significant potential as a tool for monitoring urban forests. Automated data processing algorithms are required for extracting information at an individual tree basis from LiDAR data. Here, two methods for detecting and delineating trees, variable window filtering (VWF) and multi-scale segment integration (MSI), are applied to two urban plots. The accuracy of both methods is reported in terms of the frequency of errors of omission and commission. Results show a broad variation in the performance between the two methods depending on tree age, species and location. On average, the MSI approach produced fewer errors, which make it a potentially stronger candidate for applications in urban forest management. ; Forestry, Faculty of ; Forest Resources Management, Department of ; Unreviewed ; Graduate
Extracting trees in an urban environment using airborne LiDAR
Plowright, Andrew (author)
2015-03-09
University of British Columbia. FRST 538
Paper
Electronic Resource
English
DDC:
710
Extracting urban features from LiDAR digital surface models
| Online Contents | 2000
A Semi-Automatic Algorithm on Extracting Road Networks from Airborne LiDAR Data
| British Library Conference Proceedings | 2012
Upward-fusion urban DTM generating method using airborne Lidar data
| Online Contents | 2012