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dc.contributor.authorZDRULI P.en_GB
dc.contributor.authorKARYDAS Christos G.en_GB
dc.contributor.authorDEDAJ Klarenten_GB
dc.contributor.authorSALILLARI Iliren_GB
dc.contributor.authorCELA Florjanaen_GB
dc.contributor.authorSHERIF Lushajen_GB
dc.contributor.authorPANAGOS Panagiotisen_GB
dc.date.accessioned2016-12-18T01:30:35Z-
dc.date.available2016-12-16en_GB
dc.date.available2016-12-18T01:30:35Z-
dc.date.created2016-12-12en_GB
dc.date.issued2016en_GB
dc.date.submitted2016-04-06en_GB
dc.identifier.citationEARTH SCIENCE INFORMATICS vol. 9 no. 4 p. 481-495en_GB
dc.identifier.issn1865-0473en_GB
dc.identifier.urihttp://link.springer.com/article/10.1007%2Fs12145-016-0269-zen_GB
dc.identifier.urihttp://publications.jrc.ec.europa.eu/repository/handle/JRC101147-
dc.description.abstractSome recent land use changes in Albania, such as deforestation, cropland abandonment, and urban sprawl, have caused serious increase of erosion risk. The main objective of this study was to map erosion risk in Korçe region and assess the degree at which every land use is concerned. The G2 erosion model was applied, which can provide erosion maps and statistical figures at month-time intervals using input from free European and global geodatabases. The mapping results in Korçe region were derived at a 30-m cell size, which is an innovation for G2. Autumn-winter months were found to be the most erosive, with average erosion rates reaching the maximum in November and December, i.e. 2.62 and 2.36 t/ha, respectively, while the annual rate was estimated at 10.25 t/ha/yr. Natural grasslands, shurblands, mixed forests, and vineyards showed to exhibit the highest mean erosion rates, while shrublands, broad-leaved forests and natural grasslands were found to be the most extended land covers risky for non-sustainable erosion rates (i.e. >10 t/ha/yr). A detailed examination of the detected hot spots is now necessary by the competent authorities, in order to apply appropriate, site-specific conservation measures. Notably, use of SPOT VGT data did not prevent the maps from having extended gaps due to cloudiness. Sentinel-2 time series, freely available by the European Space Agency (ESA), have the potential to improve spatiotemporal coverage of V-factor, thus further empowering the G2 model, in the near future.en_GB
dc.description.sponsorshipJRC.D.3-Land Resourcesen_GB
dc.format.mediumPrinteden_GB
dc.languageENGen_GB
dc.publisherSPRINGER HEIDELBERGen_GB
dc.relation.ispartofseriesJRC101147en_GB
dc.titleHigh resolution spatiotemporal analysis of erosion risk per land cover category in Korçe region, Albaniaen_GB
dc.typeArticles in periodicals and booksen_GB
dc.identifier.doi10.1007/s12145-016-0269-zen_GB
JRC Directorate:Sustainable Resources

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