Unmasking forest borderlines by an automatic delineation based on airborne laser scanner data
Author(s)
Alivernini, Alessandro
Barbati, Anna
Fares, Silvano
Corona, Piermaria
Date Issued
July 13, 2016
Type
article
Abstract
This study presents an automatic methodology based on airborne laser scanner (ALS) data, which allows the mapping of forests, using quantitative criteria typical of forest definitions, i.e. mini- mum threshold for the height of trees, canopy cover, forest area size, and width. Interactions between forest and other land uses are explored by the methodology for the definition of forest borderlines using an additional criterion; this criterion is the dis- tance-discontinuity (DD), which establishes a minimum width (MW) for portions of territory categorized by land uses different from the forest. The proposed forest mapping approach intro- duces also a fuzzy algorithm to assess the canopy cover, thereby enhancing the positional accuracy in the delineation of the forest borderline. This methodology has a very flexible mapping approach with the potential to address the many forest definitions existing worldwide. The evaluation and the improvement of the methodology are particularly encouraged by its release as an open source tool.
Additional information
L'articolo è disponibile sul sito dell'editore http://www.tandfonline.com
Citation
Alivernini, A., Barbati, A., Fares, S., Corona, P. 2016. Unmasking forest borderlines by an automatic delineation based on airborne laser scanner data. "International Journal of Remote Sensing" 37 (16): 3568-3583
File(s)![Thumbnail Image]()
Name
Unmasking forest borderlines 1.pdf
Size
59.39 KB
Format
Adobe PDF
Checksum (MD5)
90cd2598386299fc65ba12dd6f1ff24f