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dc.contributor.authorRomstad, Bård
dc.contributor.authorEtzelmuller, Bernd
dc.date.accessioned2013-08-27T07:12:28Z
dc.date.accessioned2013-08-28T03:00:51Z
dc.date.available2013-08-27T07:12:28Z
dc.date.available2013-08-28T03:00:51Z
dc.date.issued2012
dc.identifier.citationGeomorphology 2012;139:293-302
dc.identifier.issn0169-555X
dc.identifier.urihttp://hdl.handle.net/11250/95694
dc.description.abstractTerrain segmentation is the process of subdividing a continuous terrain surface into discrete terrain units. If the resulting units represent meaningful geomorphic objects the approach may facilitate studies of not only landforms and land forming processes, but also the interaction among surface form, soil, vegetation, hydrology and topoclimatic regimes. Commonly used methods for terrain segmentation fail to produce terrain units with a potentially large, but cyclic variation in topographic attributes, such as uniformly curved areas bounded by topographic break-lines, although this topographic characterisation is common for a number of landforms. This paper describes a new method for terrain segmentation using mean-curvature (MEC) watersheds. The method produces objects that contain a cycle of MEC values. Thus the topographic variation within each object may be large, but due to the cyclic nature of the MEC variation a geometric simplicity is ensured. In a case study we show how the resulting terrain units correspond well with a number of landforms and surface types observed in the field, and conclude that the method can be expected to be of great value for a number of applications within geomorphology and related disciplines.
dc.language.isoeng
dc.relation.urihttp://www.nb.no/idtjeneste/URN:NBN:no-bibsys_brage_38723
dc.titleMean-curvature watersheds: A simple method for segmentation of a digital elevation model into terrain units
dc.typeJournal article
dc.date.updated2013-08-27T07:12:29Z
dc.subject.nsiVDP::Matematikk og naturvitenskap: 400::Geofag: 450
dc.subject.nsiVDP::Mathematics and natural scienses: 400::Geosciences: 450
dc.identifier.doi10.1016/j.geomorph.2011.10.031
dc.identifier.cristin859789
dc.subject.keywordDigital terrenganalyse / Digital terrain analysis
dc.subject.keywordGeomorfologi / Geomorphology
dc.subject.keywordGeomorfometri / Geomorphometry
dc.subject.keywordSegmentering / Segmentation


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