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dc.contributor.authorBORRELLI PASQUALEen_GB
dc.contributor.authorMODUGNO Sirioen_GB
dc.contributor.authorPANAGOS Panagiotisen_GB
dc.contributor.authorMARCHETTI Marcoen_GB
dc.contributor.authorSCHÜTT Brigittaen_GB
dc.contributor.authorMONTANARELLA Lucaen_GB
dc.date.accessioned2014-03-25T01:03:41Z-
dc.date.available2014-03-24en_GB
dc.date.available2014-03-25T01:03:41Z-
dc.date.created2014-03-19en_GB
dc.date.issued2014en_GB
dc.date.submitted2013-09-27en_GB
dc.identifier.citationAPPLIED GEOGRAPHY vol. 48 p. 102-111en_GB
dc.identifier.issn0143-6228en_GB
dc.identifier.urihttp://www.sciencedirect.com/science/article/pii/S014362281400006Xen_GB
dc.identifier.urihttp://publications.jrc.ec.europa.eu/repository/handle/JRC84788-
dc.description.abstractThis 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.sponsorshipJRC.H.5-Land Resources Managementen_GB
dc.format.mediumPrinteden_GB
dc.languageENGen_GB
dc.publisherELSEVIER SCI LTDen_GB
dc.relation.ispartofseriesJRC84788en_GB
dc.titleDetection of harvested forest areas in Italy using Landsat imageryen_GB
dc.typeArticles in periodicals and booksen_GB
dc.identifier.doi10.1016/j.apgeog.2014.01.005en_GB
JRC Directorate:Sustainable Resources

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