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• Lin, Y
• Jaakkola, A
• Hyyppä, J
• Kaartinen, H
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• Jaakkola, A
• Hyyppä, J
• Kaartinen, H
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• Lin, Y
• Jaakkola, A
• Hyyppä, J
• Kaartinen, H

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Remote Sens. 2010, 2(8), 1864-1879; doi:10.3390/rs2081864

Article

From TLS to VLS: Biomass Estimation at Individual Tree Level

Yi Lin*, Anttoni Jaakkola, Juha Hyyppä and Harri Kaartinen

Finnish Geodetic Institute, Department of Remote Sensing and Photogrammetry, P.O. Box 15, 02431 Masala, Finland

* Author to whom correspondence should be addressed.

Received: 30 May 2010; in revised form: 18 June 2010 / Accepted: 7 July 2010 / Published: 26 July 2010

Download PDF Full-Text [449 KB, uploaded 26 July 2010 11:54 CEST]

Abstract: This study explores the applicability of vehicle-based laser scanning (VLS) for biomass estimation at individual tree level, since biomass serves as an essential biophysical parameter indicating tree health. Previous work suggests that terrestrial laser scanning (TLS) has been primarily validated for biomass prediction, however, in subject to laborious relocation in practice. VLS, as an advanced mode of TLS with more flexible mobility and also high sampling density, can work as a new efficient technique for surveying single trees. Combined with the positive binds between the biomass and TLS-samplings during manual defoliation, this work aims to seek the relations between biomass and VLS-samplings, by correlating the VLS- and TLS-samplings within the same crowns during natural foliation. The resulting R² values of the two correlations after normalization are larger than 0.88 and 0.61, respectively, and the associated root mean square errors (RMSEs) are less than 0.051 and 0.076. VLS, thus, can be validated for estimating biomass at the individual tree level, with the TLS-investigated data as a bridging reference.

Keywords: biomass estimation; VLS; TLS; serial retrieval model

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