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Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/2087

Title: Exploring forest structural complexity by multi-scale segmentation of VHR imagery
Authors: Lamonaca, Andrea
Corona, Piermaria
Barbati, Anna
Keywords: Structural complexity
Spatial heterogeneity
Multi-scale segmentation
Beech forest
Neighbourhood-based structural indices
Issue Date: 2008
Publisher: Elsevier
Citation: Lamonaca, A., Corona, P., Barbati, A. 2008. Exploring forest structural complexity by multi-scale segmentation of VHR imagery. "Remote Sensing of Environment" 112 ( 6): 2839-2849.
Abstract: Forests are complex ecological systems, characterised by multiple-scale structural and dynamical patterns which are not inferable from a system description that spans only a narrow window of resolution; this makes their investigation a difficult task using standard field sampling protocols. We segment a QuickBird image covering a beech forest in an initial stage of old-growthness – showing, accordingly, a good degree of structural complexity – into three segmentation levels. We apply field-ba
Description: L'articolo è disponibile sul sito dell'editore www.sciencedirect.com
DOI: 10.1016/j.rse.2008.01.017
URI: http://hdl.handle.net/2067/2087
ISSN: 0034-4257
Appears in Collections:DiSAFRi - Archivio della produzione scientifica

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