Repository logo
Log In(current)
  1. Home
  2. Unitus Open Access
  3. Dipartimento di Scienze dell'Ambiente Forestale e delle sue Risorse
  4. DiSAFRi - Archivio della produzione scientifica
  5. Classifying silvicultural systems (coppices vs. high forests) in Mediterranean oak forests by Airborne Laser Scanning data

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

Author(s)
Bottalico, Francesca
Travaglini, Davide
Chirici, Gherardo
Marchetti, Marco
Marchi, Enrico
more
Date Issued
2014
Type
article
DOI
10.5721/EuJRS20144725
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.
Citation
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
Subjects

ALS

Canopy Height Model

Image segmentation

Classification

Handle
http://hdl.handle.net/2067/2631
File(s)
Thumbnail Image
Name

EuJRS_coppices_Bottalico.pdf

Size

1.51 MB

Format

Adobe PDF

Checksum (MD5)

46d5e1cd4e42385997970c1108168588

Metrics

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Accessibility settings
  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify