Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/2631
Title: Classifying silvicultural systems (coppices vs. high forests) in Mediterranean oak forests by Airborne Laser Scanning data
Authors: Bottalico, Francesca
Travaglini, Davide
Chirici, Gherardo
Marchetti, Marco
Marchi, Enrico
Nocentini, Susanna
Corona, Piermaria
Keywords: ALS;Canopy Height Model;Image segmentation;Classification
Issue Date: 2014
Publisher: Italian Society of Remote Sensing
Source: Bottalico, F. et al. 2014. Classifying silvicultural systems (coppices vs. high forests) in Mediterranean oak forests by Airborne Laser Scanning data. "European Journal of Remote Sensing" 47: 437-460
Abstract: 
Forest classification by silvicultural systems (coppices vs. high forests) is important for forest resource assessment as such systems relate to a wide variety of ecosystem services. In this paper the potential of Airborne Laser Scanning (ALS) data for Mediterranean oak forests classification of coppices with standards vs. high forests was investigated in three study areas in Italy. We addressed the following issues: can coppices and high forests be distinguished using a raster Canopy Height Model (CHM)? Which are the most efficient CHM-derived metrics? Does the scale of analysis influence the classification potential of CHM metrics? Our results show that CHM in grid format (1-m2 pixel) provides support information to classify silvicultural systems.
URI: http://hdl.handle.net/2067/2631
ISSN: 2279-7254 (online)
DOI: 10.5721/EuJRS20144725
Appears in Collections:DiSAFRi - Archivio della produzione scientifica

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