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dc.contributor.authorSolberg, Svein
dc.contributor.authorAstrup, Rasmus Andreas
dc.contributor.authorWeydahl, Dan Johan
dc.date.accessioned2017-12-18T13:53:41Z
dc.date.available2017-12-18T13:53:41Z
dc.date.created2013-10-28T11:07:40Z
dc.date.issued2013-10-24
dc.identifier.citationRemote Sensing. 2013, 5 (11), 5449-5462.nb_NO
dc.identifier.issn2072-4292
dc.identifier.urihttp://hdl.handle.net/11250/2472558
dc.description.abstractThe aim of this study was to determine whether forest clear-cuts during 2000–2011 could be detected as a decrease in surface height by combining Digital Surface Models (DSMs) from the Shuttle Radar Topography Mission (SRTM) and Tandem-X, and to evaluate the performance of this method using SRTM X- and C-band data as references representing the heights before logging. The study area was located in a Norway spruce-dominated forest estate in southeastern Norway. We interpolated 11-year DSM changes into a 10 m × 10 m raster, and averaged these changes per forest stand. Based on threshold values for DSM decreases we classified the pixels and stands into the categories “clear-cut” and “not clear-cut”, and compared this to a complete record of logged stands during 2000–2011. The classification accuracy was moderate or fairly good. A correct detection was achieved for 59%–67% of the clear-cut stands. Omission errors were most common, occurring in 33%–42% of the stands. Commission errors were found in 13%–21% of the clear-cut stands. The results obtained for X-band SRTM were only marginally better than for C-band. In conclusion, the combination of SRTM and Tandem-X has the potential of providing near global data sets for the recent 12 years’ logging, which should be particularly valuable for deforestation mapping.nb_NO
dc.language.isoengnb_NO
dc.publisherMDPI AG, Basel, Switzerlandnb_NO
dc.relation.uriwww.mdpi.com/journal/remotesensing
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleDetection of forest clear-cuts with shuttle radar topography mission (SRTM) and tandem-X InSAR datanb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.rights.holder© 2013 by the authors; licensee MDPI, Basel, Switzerlandnb_NO
dc.source.pagenumber5449-5462nb_NO
dc.source.volume5nb_NO
dc.source.journalRemote Sensingnb_NO
dc.source.issue11nb_NO
dc.identifier.doi10.3390/rs5115449
dc.identifier.cristin1060779
dc.relation.projectNorges forskningsråd 233682nb_NO
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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