Authors: Cynthia Sellers*, Clark University, Nicholas Geron, Graduate School of Geography, Clark University, 950 Main Street, Worcester, MA 01610, USA, Arthur Elmes, University of Massachusetts, 100 Morrissey Blvd, Boston, MA 02125, USA , Marc Healy, Graduate School of Geography, Clark University, 950 Main Street, Worcester, MA 01610, USA, John Rogan, Graduate School of Geography, Clark University, 950 Main Street, Worcester, MA 01610, USA
Topics: Remote Sensing, Urban Geography, Quantitative Methods
Keywords: above-ground biomass (AGB), terrestrial laser scanning (TLS), urban forestry, quantitative structure model (QSM), compact biomass LiDAR (CBL), Leica BLK360, i-Tree, CloudCompare
Session Type: Paper
Start / End Time: 8:40 AM / 9:55 AM
Room: Director's Row H, Sheraton, Plaza Building, Lobby Level
Presentation File: No File Uploaded
Urban forests play a critical role in carbon sequestration within increasingly urbanized landscapes. Accurate above-ground biomass (AGB) estimations using generalized allometric equations usually require either intensive, indirect field inventory or destructive direct measurements. Limited research has explored the use of Light Detection and Ranging (LiDAR) to measure AGB in complex urban landscapes. This study highlights the potential of high-resolution terrestrial laser scanners (TLS) to effectively estimate the AGB of juvenile street trees on Granville Avenue in Worcester (Massachusetts). The tree species measured were: Pyrus calleryana, Gleditsia triacanthos, Quercus palustris, Quercus coccinea, Tilia cordata, and Prunus serrulata ‘Kwanzan’. TLS point clouds for each tree were generated using scans from the Compact Biomass LiDAR (CBL) and Leica Geosystems BLK360 imaging laser scanner. The point clouds for all the street trees were used to reconstruct 3D models of tree structure. AGB was estimated using quantitative structure models (QSM) to obtain tree volume. TLS AGB estimations were validated and compared with estimations generated through i-Tree allometric models from the field measurements for each tree.