Using terrestrial laser scanning to support biomass estimation in densely stocked young tree plantations

2013 | journal article

Jump to:Cite & Linked | Documents & Media | Details | Version history

Cite this publication

​Using terrestrial laser scanning to support biomass estimation in densely stocked young tree plantations​
Seidel, D. ; Albert, K. ; Ammer, C. ; Fehrmann, L.   & Kleinn, C. ​ (2013) 
International Journal of Remote Sensing34(24) pp. 8699​-8709​.​ DOI: https://doi.org/10.1080/01431161.2013.848308 

Documents & Media

License

GRO License GRO License

Details

Authors
Seidel, Dominik ; Albert, Katja ; Ammer, Christian ; Fehrmann, Lutz ; Kleinn, Christoph 
Abstract
The total area of short-rotation tree plantations is increasing globally, one reason being the need to grow sustainable biomass for bio-energy production. Such stands are usually established with a very high stem density, and inventories for biomass estimation require the adaptation of traditional methods. In this study, we tested a novel, efficient, and non-destructive method for biomass estimation relevant to a high-density, short-rotation oak stand of about 16,500 stems ha−1. We used terrestrial laser scanning (TLS) in a single-scan design to measure diameter at breast height (DBH) of all trees within 2 m-radius sample plots. Allometric models were then used to predict the tree biomass from their diameter. Biomass estimates were compared to the true biomass determined after harvesting of the sample plots. Mean absolute error and mean relative error were 12.9 kg and 16.4%, respectively, and the coefficient of determination of the relationship between traditionally measured and scan-based biomass was r2 = 0.65 (p < 0.001). This TLS-based approach is promising as it considerably reduces fieldwork efforts in dense stands compared with traditional diameter tallying by calipers or tapes.
Issue Date
2013
Journal
International Journal of Remote Sensing 
Organization
Fakultät für Forstwissenschaften und Waldökologie ; Burckhardt-Institut ; Abteilung Waldbau und Waldökologie der gemäßigten Zonen ; Abteilung Waldinventur und Fernerkundung 
ISSN
0143-1161
Language
English

Reference

Citations


Social Media