Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/2836
Title: Unmasking forest borderlines by an automatic delineation based on airborne laser scanner data
Authors: Alivernini, Alessandro
Barbati, Anna
Fares, Silvano
Corona, Piermaria
Keywords: Airborne laser scanner (ALS);Forest mapping;Italy
Issue Date: 13-Jul-2016
Publisher: Taylor & Francis
Source: 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
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.
Description: 
L'articolo è disponibile sul sito dell'editore http://www.tandfonline.com
URI: http://hdl.handle.net/2067/2836
ISSN: 1366-5901
DOI: 10.1080/01431161.2016.1201225
Appears in Collections:DIBAF - Archivio della produzione scientifica

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