Lidar methods for measurement of trees in urban forests

Javier Estornell; Borja Velázquez-Martí; Alfonso Fernández-Sarría; Jesús Martí

doi:10.1117/1.JRS.12.046009

23 October 2018 Lidar methods for measurement of trees in urban forests

Javier Estornell, Borja Velázquez-Martí, Alfonso Fernández-Sarría, Jesús Martí

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 12, Issue 4, 046009 (October 2018). https://doi.org/10.1117/1.JRS.12.046009

Abstract

This study compares the estimations of biophysical parameters of Platanus hispanica urban trees, namely total height, crown height, crown volume, and the amount of residual biomass from pruning, obtained by terrestrial laser scanner (TLS), airborne laser scanner (ALS) of low density (0.7 points · m^− 2), and measured by standard field methods. Regression models were calculated to obtain the relationships among parameters retrieved by all techniques, testing all possible combinations (manual-TLS, manual-ALS, TLS-ALS, and vice versa). The most accurate fits were found for vegetation attributes (stem and crown diameter) estimated by TLS and ALS data with R² between 0.84 and 0.96, respectively. The least accurate models were found when crown height and pruning biomass were estimated from ALS data (R² = 0.68 and R² = 0.59, respectively). The methods reported in this research might be of interest for the management of urban forests to study residual biomass calculation, sink CO₂, the influence of humidity and of shadow areas whatever the information capture system used, whether it is derived from ALS, TLS, or classical dendrometry measurements.

Citation Download Citation

Javier Estornell, Borja Velázquez-Martí, Alfonso Fernández-Sarría, and Jesús Martí "Lidar methods for measurement of trees in urban forests," Journal of Applied Remote Sensing 12(4), 046009 (23 October 2018). https://doi.org/10.1117/1.JRS.12.046009

Received: 28 April 2018; Accepted: 24 September 2018; Published: 23 October 2018

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