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Using eCognition Definiens for automated detection of snow avalanches from optical imagery

dc.contributor.authorLato, Matthew J.
dc.contributor.authorFrauenfelder, Regula
dc.date.accessioned2023-08-01T07:59:58Z
dc.date.available2023-08-01T07:59:58Z
dc.date.issued2012-07-14
dc.identifier.urihttps://hdl.handle.net/11250/3082047
dc.description.abstractDetection of avalanches from remotely collected optical imagery has been tested through analysis of image properties such as brightness, contrast, and different measures of texture. There have been few publications on the subject, providing an excellent opportunity for new developments. The work conducted at NGI in 2011 aimed at detecting fresh snow avalanches from very-high resolution (VHR) optical imagery. The research presented in this Technical Note has been supported by the Ministry of Petroleum and Energy (OED) through the Norwegian Water Resources and Energy Directorate (NVE).en_US
dc.description.sponsorshipNorges Forskningsråd (NFR)en_US
dc.language.isoengen_US
dc.publisherNorges Geotekniske Institutten_US
dc.relation.ispartofseriesNGI-rapport;20110112 Notat 2012-07-14 Rev. 1
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.subjectAvalanche-RnDen_US
dc.subjectSnøskred-FoUen_US
dc.titleUsing eCognition Definiens for automated detection of snow avalanches from optical imageryen_US
dc.typeResearch reporten_US
dc.source.pagenumber11en_US
dc.relation.projectFoU - Hazard zoningen_US


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