Estimating Crown Variables of Individual Trees Using Airborne and Terrestrial Laser ScannersReportar como inadecuado


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


Estimating Crown Variables of Individual Trees Using Airborne and Terrestrial Laser Scanners - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

1

Department of Environment & Marine Information, Sundosoft, Seoul 153-759, Korea

2

Division of Environmental Science and Ecological Engineering, Korea University, Seoul 136-701, Korea





*

Author to whom correspondence should be addressed.



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. View Full-Text

Keywords: airborne laser scanner; terrestrial laser scanner; digital canopy model; k-means clustering; crown geometric volume airborne laser scanner; terrestrial laser scanner; digital canopy model; k-means clustering; crown geometric volume





Autor: Sung-Eun Jung 1, Doo-Ahn Kwak 2, Taejin Park 2, Woo-Kyun Lee 2,* and Seongjin Yoo 2

Fuente: http://mdpi.com/



DESCARGAR PDF




Documentos relacionados