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.

Classifying silvicultural systems (coppices vs. high forests) in Mediterranean oak forests by Airborne Laser Scanning data / Francesca Bottalico; Davide Travaglini; Gherardo Chirici; Marco Marchetti; Enrico Marchi; Susanna Nocentini; Piermaria Corona. - In: EUROPEAN JOURNAL OF REMOTE SENSING. - ISSN 2279-7254. - ELETTRONICO. - 47:(2014), pp. 437-460. [10.5721/EuJRS20144725]

Classifying silvicultural systems (coppices vs. high forests) in Mediterranean oak forests by Airborne Laser Scanning data

BOTTALICO, FRANCESCA;TRAVAGLINI, DAVIDE;CHIRICI, GHERARDO;MARCHI, ENRICO;NOCENTINI, SUSANNA;
2014

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.
2014
47
437
460
Francesca Bottalico; Davide Travaglini; Gherardo Chirici; Marco Marchetti; Enrico Marchi; Susanna Nocentini; Piermaria Corona
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/871525
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