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dc.contributor.authorFrauenfelder, Regula
dc.contributor.authorLato, Matt
dc.contributor.authorBiskupič, Marek
dc.date.accessioned2016-01-15T09:46:03Z
dc.date.accessioned2016-01-25T10:11:56Z
dc.date.available2016-01-15T09:46:03Z
dc.date.available2016-01-25T10:11:56Z
dc.date.issued2015
dc.identifier.citationInternational Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences 2015, XL-7/W3:791-795
dc.identifier.issn2194-9034
dc.identifier.urihttp://hdl.handle.net/11250/2374684
dc.description-
dc.description.abstractHere we present results from ongoing work where we apply an object oriented mapping algorithm developed in eCognition in order to automatically identify and digitally map avalanche deposits. The algorithm performance is compared with respect to a selected number of manually digitized avalanche outlines mapped by avalanche experts.
dc.language.isoeng
dc.relation.urihttp://dx.doi.org/10.5194/isprsarchives-XL-7-W3-791-2015
dc.subjectAvalanche-RnD
dc.subjectSnøskred-FoU
dc.titleUsing eCognition to automatically detect and map avalanche deposits from the spring 2009 avalanche cycle in the Tatra Mts., Slovakia
dc.typeJournal article
dc.date.updated2016-01-15T09:46:03Z
dc.identifier.doi10.5194/isprsarchives-XL-7-W3-791-2015
dc.identifier.cristin1253380


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