NDLI: Effects of plot size, stand density, and scan density on the relationship between airborne laser scanning metrics and the Gini coefficient of tree size inequality

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Effects of plot size, stand density, and scan density on the relationship between airborne laser scanning metrics and the Gini coefficient of tree size inequality

Content Provider	Semantic Scholar
Author	Adnan, Syed Maltamo, Matti Coomes, David Anthony Valbuena, Ruben
Copyright Year	2017
Abstract	Estimation of the Gini coefficient (GC) of tree sizes using airborne laser scanning (ALS) can provide maps of forest structure across the landscape, which can support sustainable forest management. A challenge arises in determining the optimal spatial resolution that maximizes the stability and precision of GC estimates, which in turn depends on stand density or ALS scan density. By subsampling different plot sizes within large field plots, we evaluated the optimal spatial resolution by observing changes in GC estimation and in its correlation with ALS metrics. We found that plot size had greater effects than either stand density or ALS scan density on the relationship between GC and ALS metrics. Uncertainty in GC estimates fell as plot size increased. Correlation with ALS metrics showed convex curves with maxima at 250–450 m2, which thus was considered the optimal plot size and, consequently, the optimal spatial resolution. By thinning the density of the ALS point cloud, we deduced that at least 3 points.
Starting Page	1590
Ending Page	1602
Page Count	13
File Format	PDF HTM / HTML
DOI	10.1139/cjfr-2017-0084
Volume Number	47
Alternate Webpage(s)	https://tspace.library.utoronto.ca/bitstream/1807/79708/1/cjfr-2017-0084.pdf
Alternate Webpage(s)	https://erepo.uef.fi/bitstream/handle/123456789/7093/15405376191633109395.pdf?isAllowed=y&sequence=2
Alternate Webpage(s)	https://www.dspace.cam.ac.uk/bitstream/handle/1810/273758/FinalAccepted.pdf?isAllowed=y&sequence=1
Alternate Webpage(s)	https://doi.org/10.1139/cjfr-2017-0084
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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