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ALS-based wood volume models of forest stands and comparison with forest inventory data

2016; De Gruyter Open; Volume: 64; Issue: 1 Linguagem: Inglês

10.1515/fsmu-2016-0001

1736-8723

Tauri Arumäe, Mait Lang,

Forest Ecology and Biodiversity Studies

Abstract Airborne laser scanning (ALS) based standing wood volume models were analysed in two contrasting test sites with different forest types in Estonia. In Aegviidu test site main tree species are Scots pine and Norway spruce and Laeva test site is mainly dominated by deciduous species. ALS data measurements were carried out for Aegviidu in 2008 and for Laeva in 2013. Approximately 450 sample plots were established additionally to the forest inventory dataset in both test sites. Exclusive to the sample plots, 46 stands were measured in 2012 in Aegviidu for stand level model. The sample plot-based model standard error in Aegviidu was S e = 59.8 m 3 /ha (22%) and in Laeva S e = 69.2 m 3 /ha (29%). The stand-level model based on 46 measured stands from Aegviidu had S e = 38.4 m 3 /ha. Based on the models a cross-validation between the two test sites was carried out and systematic differences between the two test sites were found. The reasons are related to differences in optical properties of trees, crown shapes, flight configuration and canopy cover even though the sample plot based models included ALS-based canopy cover variable. The ALS-based wood volume estimate was also compared to forest inventory (FI) data and systematically larger estimates compared to FI dataset in both test sites were found. This average systematic error increased substantially (by 100 m 3 /ha) for stands with volume over 250 m 3 /ha. It was also detected that a model developed on small point clouds drawn for sample plots may produce systematic errors when applied to stand-level point clouds.