This study presents a thorough approach, based on the application of multi-spectral remote sensing
Landsat imagery, to determine human-induced forest cover change in Italy during the decade
2002e2011. A total of 785.6 1 04 ha of forestland was mapped using the main forest classes described
within the CORINE land cover 2006 database (3.11 e broad-leaved forest; 3.12 e coniferous forest; 3.13 e
mixed forest). The approach employs multi-temporal Landsat imagery to determine large-scale spatiotemporal
variations in forest cover with a high degree of precision. The semi-automated procedure is
based on Normalized Difference Vegetation Index (NDVI) pixel-oriented image differencing technique.
The results were validated and rectified as a result of on-screen visual interpretation, whereby all the
false-positive forest changes that were incorrectly mapped during the automatic procedure were identified
and removed. The derived high-resolution data of forest cover change show that 317,535 ha (4.04%
of the total forest area in Italy) were harvested during the period under review. The 125,272 individual
clear-cut areas identified are mainly located within protected areas of the European Natura 2000
network. The outcome of this study is a publicly accessible database that can encourage further studies in
the framework of international biodiversity and soil protection conventions (http://eusoils.jrc.ec.europa
eu/library/themes/erosion/italy/). The methodology can contribute to the monitoring of human-induced
forest changes in support of the Kyoto Protocol.