Efficient measurements of basal area in short rotation forests based on terrestrial laser scanning under special consideration of shadowing

doi:10.3832/ifor1084-007

Efficient measurements of basal area in short rotation forests based on terrestrial laser scanning under special consideration of shadowing

iForest - Biogeosciences and Forestry, Volume 7, Issue 4, Pages 227-232 (2014)
doi: https://doi.org/10.3832/ifor1084-007
Published: Mar 10, 2014 - Copyright © 2014 SISEF

Research Articles

PDF Version

Full Text

Citation

Geo-mapping

Terrestrial laser scanning has been used in forest research for about ten years and use-orientated applications are of increasing importance. The effect of shadowing in single location laser scanning, e.g., as used for biomass estimations, has not been quantified so far even though it affects the quality of information derived from the laser scans. In our study we quantified the effect of shadowing on automated basal area measurements in a densely stocked poplar short rotation forest and developed a method to correct unsampled areas. We found that on average about 5.0 ± 2.5% of the plot area (12.56 m²) was not sampled by the laser scanner due to shadowing. Efficient basal area measurements based on terrestrial laser scanning were possible and if a correction factor was derived from the scan data, the effects of shadowing could be accounted for. The relative mean absolute error could then be lowered from 9.8% to 8.4%. This new method allows fast, fully objective, and precise plot-level measurements of basal area considering the effects of shadowing. It could be applied in the future to support monitoring growth developments in densely stocked stands such as short rotation forests.

Keywords

Ground Based LiDAR, Non-detection Bias, Angle Count Method, Poplar Short Rotation Forest

Authors’ address

(1)

Chair of Silviculture and Forest Ecology of the Temperate Zones, Faculty of Forest Science and Forest Ecology, University of Göttingen, Büsgenweg 1, 37077 Göttingen (Germany)

Corresponding author

Dominik Seidel
dseidel@gwdg.de

Citation

Seidel D, Ammer C (2014). Efficient measurements of basal area in short rotation forests based on terrestrial laser scanning under special consideration of shadowing. iForest 7: 227-232. - doi: 10.3832/ifor1084-007

Academic Editor

Agostino Ferrara

Paper history

Received: Jul 25, 2013
Accepted: Feb 09, 2014

First online: Mar 10, 2014
Publication Date: Aug 01, 2014
Publication Time: 0.97 months

Open Access

This article is distributed under the terms of the Creative Commons Attribution-Non Commercial 4.0 International (https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Breakdown by View Type

(Waiting for server response...)

Article Usage

Total Article Views: 54037
(from publication date up to now)

Breakdown by View Type
HTML Page Views: 45400
Abstract Page Views: 3608
PDF Downloads: 3799
Citation/Reference Downloads: 24
XML Downloads: 1206

Web Metrics
Days since publication: 3909
Overall contacts: 54037
Avg. contacts per week: 96.77

Article Citations

Article citations are based on data periodically collected from the Clarivate Web of Science web site
(last update: Feb 2023)

Total number of cites (since 2014): 26
Average cites per year: 2.60

(no Plumx Metrics available for this paper)

Publication Metrics

by Dimensions ^©

Articles citing this article

List of the papers citing this article based on CrossRef Cited-by.

(1)

Bergante S, Facciotto G, Minotta G (2010)
Identification of the main site factors and management intensity affecting the establishment of Short-Rotation-Coppices (SRC) in northern Italy through stepwise regression analysis. Central European Journal of Biology 5 (4): 522-530.
CrossRef | Gscholar

(2)

Bullard MJ, Mustill SJ, McMillan SD, Nixon PMI, Carver P, Britt CP (2002)
Yield improvements through modification of planting density and harvest frequency in short rotation coppice Salix spp. 1. Yield response in two morphologically diverse varieties. Biomass and Bioenergy 22 (1): 15-25.
CrossRef | Gscholar

(3)

DEFRA (2007)
Opportunities and optimum sitings for energy crops.
Online | Gscholar

(4)

Dimitriou I, Baum C, Baum S, Busch G, Schulz U, Köhn J, Lamersdorf N, Leinweber P, Aronsson P, Weih M, Berndes G, Bolte A (2011)
Quantifying environmental effects of Short Rotation Coppice (SRC) on biodiversity, soil and water. IEA Bioenergy, Task 43, 2011/01, International Energy Agency, pp. 34.
Online | Gscholar

(5)

Djomo SN, El Kasmioui O, Ceulemans R (2011)
Energy and greenhouse gas balance of bioenergy production from poplar and willow: a review. GCB Bioenergy 3 (3): 181-197.
CrossRef | Gscholar

(6)

DWD (2012)
Deutscher Wetter Dienst. Klimaatlas Deutschland. Station Dachwig, Offenbach, Germany.
Online | Gscholar

(7)

European Commission (2006)
Renewable energy road map’ renewable energies in the 21st century: building a more sustainable future. COM(2006)-848-final, Brussels, Belgium, pp. 20.
Online | Gscholar

(8)

European Commission (2007)
An energy policy for Europe. COM(2007)-1-final, Brussels, Belgium, pp. 27.
Online | Gscholar

(9)

Gentle JE (1998)
QR Factorization. Numerical linear algebra for applications in statistics. Springer-Verlag, Berlin, Germany, pp. 95-97.
Gscholar

(10)

Jordbruksverket (2006)
Bioenergi - ny energi för jordbruket [Bioenergy - new energy from agriculture]. Rapport 2006:1, Swedish Board of Agriculture and Plant Protection, Jönköping, Sweden, pp. 81. [in Swedish]
Gscholar

(11)

Király G, Brolly G (2008)
Modelling single trees from terrestrial laser scanning data in a forest reserve. The Photogrammetric Journal of Finland 21 (7): 37-50.
Gscholar

(12)

Lovell JL, Jupp DLB, Newnham GJ, Culvenor DS (2011)
Measuring tree stem diameters using intensity profiles from ground-based scanning lidar from a fixed viewpoint. ISPRS Journal of Photogrammetry and Remote Sensing 66: 46-55.
CrossRef | Gscholar

(13)

Maas HG, Bienert A, Scheller S, Keane E. (2008)
Automatic forest inventory parameter determination from terrestrial laser scanner data. International Journal of Remote Sensing 29 (5): 1579-1593.
CrossRef | Gscholar

(14)

Moskal M, Zheng G (2012)
Retrieving forest inventory variables with terrestrial laser scanning (TLS) in urban heterogeneous forest. Remote Sensing 4: 1-20.
CrossRef | Gscholar

(15)

Murach D, Murn Y, Hartmann H (2008)
Ertragsermittlung und Potenziale von Agrarholz. Forst und Holz 6: 18-23.
Gscholar

(16)

Othmani A, Piboule A, Krebs M, Stolz C, Lew Yan Voon LFC (2011)
Towards automated and operational forest inventories with T-Lidar. In: Proceedings of the “SilviLaser Conference 2011”. Hobart (Australia) 16-19 Oct 2011. HAL/CCSD, pp. 1-9.
Online | Gscholar

(17)

Ritter T, Nothdurft A, Saborowski J (2013)
Correcting the nondetection bias of angle count sampling. Canadian Journal of Forest Research 43: 344-354.
CrossRef | Gscholar

(18)

Seidel D, Albert K, Fehrmann L, Ammer C (2012)
The potential of terrestrial laser scanning for the estimation of understory biomass in coppice-with-standard systems. Biomass and Bioenergy 47: 20-25.
CrossRef | Gscholar

(19)

Tansey K, Selmes N, Anstee A, Tate NJ, Denniss A (2009)
Estimating tree and stand variables in a Corsican Pine woodland from terrestrial laser scanner data. International Journal of Remote Sensing 30 (19): 5195-5209.
CrossRef | Gscholar

(20)

Telenius BF (1997)
A software tool for standardised non-destructive biomass estimation in short rotation forestry. Bioresource Technology 60 (3): 267-268.
CrossRef | Gscholar

(21)

Todd JT (2004)
The visual perception of 3D shape. Trends in cognitive sciences 8 (3): 115-121.
CrossRef | Gscholar

(22)

Toillon J, Fichot R, Dallé E, Berthelot A, Brignolas F, Marron N (2013)
Planting density affects growth and water-use efficiency depending on site in Populus deltoides × P. nigra. Forest Ecology and Management 304: 345-354.
CrossRef | Gscholar

(23)

Verwijst T, Telenius B (1999)
Biomass estimation procedures in short rotation forestry. Forest Ecology Management 121: 137-146.
CrossRef | Gscholar

(24)

Watt PJ, Donoghue DNM (2007)
Measuring forest structure with terrestrial laser scanning. International Journal of Remote Sensing 27 (7): 1437-1446.
CrossRef | Gscholar

(25)

Zoller-Fröhlich GmbH (2007a)
Z+F Imager 5006 Benutzerhandbuch V.1.0. Deutsch. Wangen, Germany, pp. 118.
Online | Gscholar

(26)

Zoller-Fröhlich GmbH (2007b)
Z+F Imager 5006. Technische Daten Imager 5006. Deutsch. Wangen, Germany, pp. 2.
Online | Gscholar

iForest - Biogeosciences and Forestry

Contents

Search

Journal Info

Journal Subjects and Fields

For Authors

For Reviewers

For Readers

SISEF Publishing

Search iForest Contents