Remote Sens. 2011, 3(11), 2346-2363; doi:10.3390/rs3112346
Article

Estimating Crown Variables of Individual Trees Using Airborne and Terrestrial Laser Scanners

1, 2email, 2email, 2,* email and 2email
Received: 26 August 2011; in revised form: 7 September 2011 / Accepted: 21 October 2011 / Published: 28 October 2011
(This article belongs to the Special Issue Remote Sensing on Earth Observation and Ecosystem Services)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: In this study, individual tree height (TH), crown base height (CBH), crown area (CA) and crown volume (CV), which were considered as essential parameters for individual stem volume and biomass estimation, were estimated by both an airborne laser scanner (ALS) and a terrestrial laser scanner (TLS). These ALS- and TLS-derived tree parameters were compared because TLS has been introduced as an instrument to measure objects more precisely. ALS-estimated TH was extracted from the highest value within a crown boundary delineated with the crown height model (CHM). The ALS-derived CBH of individual trees was estimated by k-means clustering method using the ALS data within the boundary. The ALS-derived CA was calculated simply with the crown boundary, after which CV was computed automatically using the crown geometric volume (CGV). On the other hand, all TLS-derived parameters were detected manually and precisely except the TLS-derived CGV. As a result, the ALS-extracted TH, CA, and CGV values were underestimated whereas CBH was overestimated when compared with the TLS-derived parameters. The coefficients of determination (R2) from the regression analysis between the ALS and TLS estimations were approximately 0.94, 0.75, 0.69 and 0.58, and root mean square errors (RMSEs) were approximately 0.0184 m, 0.4929 m, 2.3216 m2 and 13.2087 m3 for TH, CBH, CA and CGV, respectively. Thereby, the error rate decreased to 0.0089, 0.0727 and 0.0875 for TH, CA and CGV via the combination of ALS and TLS data.
Keywords: airborne laser scanner; terrestrial laser scanner; digital canopy model; k-means clustering; crown geometric volume
PDF Full-text Download PDF Full-Text [3397 KB, uploaded 19 June 2014 00:09 CEST]

Export to BibTeX |
EndNote


MDPI and ACS Style

Jung, S.-E.; Kwak, D.-A.; Park, T.; Lee, W.-K.; Yoo, S. Estimating Crown Variables of Individual Trees Using Airborne and Terrestrial Laser Scanners. Remote Sens. 2011, 3, 2346-2363.

AMA Style

Jung S-E, Kwak D-A, Park T, Lee W-K, Yoo S. Estimating Crown Variables of Individual Trees Using Airborne and Terrestrial Laser Scanners. Remote Sensing. 2011; 3(11):2346-2363.

Chicago/Turabian Style

Jung, Sung-Eun; Kwak, Doo-Ahn; Park, Taejin; Lee, Woo-Kyun; Yoo, Seongjin. 2011. "Estimating Crown Variables of Individual Trees Using Airborne and Terrestrial Laser Scanners." Remote Sens. 3, no. 11: 2346-2363.

Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert