NDLI: Support of Multispectral Very High Resolution Remotely Sensed Imagery for Old-growth Beech Forest Detection

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Support of Multispectral Very High Resolution Remotely Sensed Imagery for Old-growth Beech Forest Detection

Content Provider	Semantic Scholar
Author	Paolo, Silvia Di Giuliarelli, Diego Ferrari, Barbara Barbati, Anna Corona, Piermaria
Copyright Year	2010
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.
Starting Page	519
Ending Page	527
Page Count	9
File Format	PDF HTM / HTML
DOI	10.4129/ifm.2010.5.04
Volume Number	65
Alternate Webpage(s)	http://ojs.aisf.it/index.php/ifm/article/download/420/396
Alternate Webpage(s)	https://doi.org/10.4129/ifm.2010.5.04
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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