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|dc.identifier.citation||APPLIED GEOGRAPHY vol. 48 p. 102-111||en_GB|
|dc.description.abstract||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.||en_GB|
|dc.description.sponsorship||JRC.H.5-Land Resources Management||en_GB|
|dc.publisher||ELSEVIER SCI LTD||en_GB|
|dc.title||Detection of harvested forest areas in Italy using Landsat imagery||en_GB|
|dc.type||Articles in periodicals and books||en_GB|
|JRC Directorate:||Sustainable Resources|
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