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Prediction of tree biomass in the forest–tundra ecotone using airborne laser scanning

Nyström, Mattias and Holmgren, Johan and Olsson, Håkan (2012). Prediction of tree biomass in the forest–tundra ecotone using airborne laser scanning. Remote sensing of environment. 123:August, 271–279
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Official URL: http://dx.doi.org/10.1016/j.rse.2012.03.008

Abstract

The effect of ongoing climate change on sub-arctic and alpine forests has led to increased interest in monitoring potential changes in the forest–tundra ecotone. In addition to climate change, insect damage, browsing pressure by herbivores such as moose and reindeer, as well as anthropogenic impacts will contribute to changes in the forest–tundra ecotone. These changes are difficult to monitor with manual methods because of the complex mosaic pattern of the ecotone. In this study, the possibility to predict maximum tree height, above ground tree biomass and canopy cover with airborne laser scanning (ALS) was therefore tested at a forest–tundra ecotone site near Abisko in northern Sweden (Lat. N 68°20′, Long. E 19°01′, 420-700 m a.s.l.). The forest in the area is dominated by mountain birch (Betula pubescens ssp. czerepanovii), which has highly irregular stem and canopy forms. Predictions from two different laser data acquisitions were compared. The first laser data set had 6.1 points m− 2 and was obtained in 2008 with a TopEye MKII scanner carried by a helicopter flown at 500 m a.g.l. The second laser data set had 1.4 points m− 2 and was obtained in 2010 with an Optech ALTM Gemini scanner carried by a fixed-wing aircraft flown at 1740 m a.g.l. Linear regression models were developed for the predictions using data from 73 sample plots with ten meter radius surveyed in 2009 and 2010. The relative RMSEs obtained for the TopEye and Optech data after leave-one-out cross-validation were, respectively, 8.8% and 9.5% for maximum tree height; 18.7% and 21.2% for above ground tree biomass; and, 16.8% and 18.7% for vertical canopy cover on plot level. The results were clearly improved by introducing a new procedure to compensate for unevenly distributed laser points. In conclusion, ALS has strong potential as a data source to map mountain birch biomass in the forest–tundra ecotone, even when using sparse point density ALS data.

Authors/Creators:Nyström, Mattias and Holmgren, Johan and Olsson, Håkan
Title:Prediction of tree biomass in the forest–tundra ecotone using airborne laser scanning
Series/Journal:Remote sensing of environment (0034-4257)
Year of publishing :August 2012
Volume:123
Number:August
Page range:271–279
Publisher:Elsevier
ISSN:0034-4257
Language:English
Publication Type:Journal article
Refereed:Yes
Article category:Scientific peer reviewed
Version:Accepted version
Full Text Status:Public
Agris subject categories.:K Forestry > K10 Forestry production
U Auxiliary disciplines > U40 Surveying methods
Subjects:(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Forest Science
Keywords:Lidar, Laser scanning, ALS, Forest monitoring, Mountain birch, Forest–tundra ecotone, Subarctic tree line ecotone, Sub-arctic tree-line ecotone, Small trees, Maximum tree height, Above ground biomass, Vertical canopy cover, Raster map, Tundra, Monitoring, Tree cover, Vegetation ratio, Weighted vegetation ratio, Corrected vegetation ratio, Uneven distribution, Abisko, Torneträsk, Scandinavia, Sweden
URN:NBN:urn:nbn:se:slu:epsilon-e-759
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-e-759
Additional ID:
Type of IDID
DOI10.1016/j.rse.2012.03.008
ID Code:9292
Department:(S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management
External funders:Swedish Environmental Protection Agency
Deposited By: Skogsbiblioteket Umeå
Deposited On:06 Dec 2012 14:25
Metadata Last Modified:02 Dec 2014 10:53

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