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http://hdl.handle.net/2067/1903
Title: | Support of multispectral very high solution remotely sensed imagery for old-growth beech forest detection. | Authors: | Di Paolo, Silvia Giuliarelli, Diego Ferrari, Barbara Barbati, Anna Corona, Piermaria |
Keywords: | multiresolution segmentation; very high resolution satellite imagery; QuickBird; forest stand structural attributes; Italy. | Issue Date: | 2010 | Publisher: | Accademia Italiana di Scienze Forestali | Source: | Di Paolo S., Giuliarelli D., Ferrari B., Barbati A., Corona P., 2010 - Support of multispectral very high solution remotely sensed imagery for old-growth beech forest detection. L'Italia Forestale e Montana, 65 (5): 519-527. | Abstract: | In the Mediterranean basin human activity has modified landscapes for millennia,nevertheless there are few remote forest areas relatively untouched long enough from direct anthropogenic disturbance to develop old-growth attributes. The aim of this note is to assess the potential of QuickBird (QB) satellite multispectral imagery for detecting old-growth forest stands, considering as case study a Mediterranean beech forest in central Italy. The segmentation-based analysis of QB image proved to be a promising tool to detect scaledependent pattern of forest structural heterogeneity. Values of remotely sensed attributes are compared in old-growth and not-old-growth stands: the statistical analysis showed that oldgrowthness is associated to the variability of multispectral reflectance from the image objects (polygons). Green band variability, notably, expressed by Ratio_band_2 has proven to be helpful for predicting old-growthness. |
URI: | http://hdl.handle.net/2067/1903 | ISSN: | 0021-2776 |
Appears in Collections: | DiSAFRi - Archivio della produzione scientifica |
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IFM_oldgrowth_remote sensing.pdf | 563.82 kB | Adobe PDF | View/Open |
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