Please use this identifier to cite or link to this item: http://hdl.handle.net/2067/2082
DC FieldValueLanguage
dc.contributor.authorChirici, Gherardo-
dc.contributor.authorGiuliarelli, Diego-
dc.contributor.authorBiscontini, Daniele-
dc.contributor.authorTonti, Daniela-
dc.contributor.authorMattioli, Walter-
dc.contributor.authorMarchetti, Marco-
dc.contributor.authorCorona, Piermaria-
dc.date.accessioned2011-05-31T14:32:15Z-
dc.date.available2011-05-31T14:32:15Z-
dc.date.issued2011-
dc.identifier.citationChirici, G. et al. 2011. Large-scale monitoring of coppice forest clearcuts by multitemporal very high resolution satellite imagery. A case study from central Italy. "Remote Sensing of Environment" 115 (4):1025-1033it
dc.identifier.issn0034-4257-
dc.identifier.urihttp://hdl.handle.net/2067/2082-
dc.descriptionL'articolo è disponibile sul sito dell'editore www.sciencedirect.comit
dc.description.abstractReliable assessment of forest resource stock, productivity and harvesting is a commonly agreed objective of environmental monitoring programs. Distinctively, the assessment of wood harvesting has become even more relevant to evaluate the sustainability of forest management and to quantify forest carbon budget. This paper presents the development and testing of procedures for assessing forest harvesting in coppice forests by very high resolution (VHR) satellite imagery. The study area is located in central Italy over approximately 34,000 km2. A set of SPOT5 HRG multispectral images was acquired for the study years (2002–2007). Official administrative statistics of coppice clearcutswere also acquired.More than 9500 clearcuts weremapped and dated by on-screen interpretation of the SPOT5 images. In a subset of the study area various methods for semi-automatic clearcut mapping were tested by pixel- and object-oriented approaches. The following results are presented: (i) clearcut map developed by visual interpretation of the SPOT5 images resulted in high thematic (overall accuracy of 0.99) and geometric (rootmean square error of clearcut boundary delineation of 5.3 m) reliability; (ii) object-oriented approach achieved significantly better accuracy than pixel-based methods for semi-automatic classification of the coppice clearcuts; (iii) comparison between mapped clearcut area and official forest harvesting statistics proved a significant underestimation by the latter (65% of the total mapped clearcut area). A sample-based procedure exploiting VHR satellite imagery is finally proposed to correct the official statistics of coppice clearcuts.it
dc.language.isoenit
dc.publisherElsevierit
dc.subjectCoppice forestit
dc.subjectForest statisticsit
dc.subjectClearcut mappingit
dc.subjectSPOT5 HRG GMESit
dc.subjectForest monitoringit
dc.subjectObject-oriented classificationit
dc.titleLarge-scale monitoring of coppice forest clearcuts by multitemporal very high resolution satellite imagery. A case study from central Italyit
dc.typeArticleit
dc.identifier.doi10.1016/j.rse.2010.12.007-
item.fulltextWith Fulltext-
item.openairetypeArticle-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
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