Abstract
The main goal of the federal funded project ‘LiDAR based biomass assessment’ is the nationwide investigation of the biomass potential coming from wood cuttings of non-forest trees. In this context, first and last pulse airborne laserscanning (F+L) data serve as preferred database. First of all, mandatory field calibrations are performed for pre-defined grove types. For this purpose, selected reference groves are captured by full-waveform airborne laserscanning (FWF) and terrestrial laserscanning (TLS) data in different foliage conditions. The paper is reporting about two methods for the biomass assessment of non-forest trees. The first method covers the determination of volume-to-biomass conversion factors which relate the reference above-ground biomass (AGB) estimated from allometric functions with the laserscanning derived vegetation volume. The second method is focused on a 3D Normalized Cut segmentation adopted for non-forest trees and the follow-on biomass calculation based on segmentation-derived tree features.
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Rentsch, M., Krismann, A., Krzystek, P. (2011). Extraction of Non-forest Trees for Biomass Assessment Based on Airborne and Terrestrial LiDAR Data. In: Stilla, U., Rottensteiner, F., Mayer, H., Jutzi, B., Butenuth, M. (eds) Photogrammetric Image Analysis. PIA 2011. Lecture Notes in Computer Science, vol 6952. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24393-6_11
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DOI: https://doi.org/10.1007/978-3-642-24393-6_11
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