Remote Sensing | |
Estimating Biophysical Parameters of Individual Trees in an Urban Environment Using Small Footprint Discrete-Return Imaging Lidar | |
Rupesh Shrestha1  | |
[1] Boise Center Aerospace Laboratory, Department of Geosciences, Idaho State University, Boise, ID 83702, USA | |
关键词: biomass; carbon; remote sensing; urban forestry; airborne laser scanning; | |
DOI : 10.3390/rs4020484 | |
来源: mdpi | |
【 摘 要 】
Quantification of biophysical parameters of urban trees is important for urban planning, and for assessing carbon sequestration and ecosystem services. Airborne lidar has been used extensively in recent years to estimate biophysical parameters of trees in forested ecosystems. However, similar studies are largely lacking for individual trees in urban landscapes. Prediction models to estimate biophysical parameters such as height, crown area, diameter at breast height, and biomass for over two thousand individual trees were developed using best subsets multiple linear regression for a study area in central Oklahoma, USA using point cloud distributional metrics from an Optech ALTM 2050 lidar system. A high level of accuracy was attained for estimating individual tree height (
【 授权许可】
CC BY
© 2012 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
Files | Size | Format | View |
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RO202003190045851ZK.pdf | 586KB | download |