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dc.contributor.authorOrengo, Hector
dc.contributor.authorPetrie, Cameron
dc.date.accessioned2018-03-14T14:56:01Z
dc.date.available2018-03-14T14:56:01Z
dc.date.issued2018-05
dc.identifier.issn0197-9337
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/273996
dc.description.abstractMorphological analysis of landforms has traditionally relied on the interpretation of imagery. Although imagery provides a natural view of an area of interest (AOI) images are largely hindered by the environmental conditions at the time of image acquisition, the quality of the image and, mainly, the lack of topographical information, which is an essential factor for a correct understanding of the AOI's geomorphology. More recently digital surface models (DSMs) have been incorporated into the analytical toolbox of geomorphologists. These are usually high-resolution models derived from digital photogrammetric processes or LiDAR data. However, these are restricted to relatively small areas and are expensive or complex to acquire, which limits widespread implementation. In this paper, we present the multi-scale relief model (MSRM), which is a new algorithm for the visual interpretation of landforms using DSMs. The significance of this new method lies in its capacity to extract landform morphology from both high- and low-resolution DSMs independently of the shape or scale of the landform under study. This method thus provides important advantages compared to previous approaches as it: (1) allows the use of worldwide medium resolution models, such as SRTM, ASTER GDEM, ALOS, and TanDEM-X; (2) offers an alternative to traditional photograph interpretation that does not rely on the quality of the imagery employed nor on the environmental conditions and time of its acquisition; and (3) can be easily implemented for large areas using traditional GIS/RS software. The algorithm is tested in the Sutlej-Yamuna interfluve, which is a very large low-relief alluvial plain in northwest India where 10 000 km of palaeoriver channels have been mapped using MSRM. The code, written in Google Earth Engine's implementation of JavaScript, is provided as Supporting Information for its use in any other AOI without particular technical knowledge or access to topographical data. © 2017 The Authors. Earth Surface Processes and Landforms published by John Wiley & Sons Ltd.
dc.format.mediumPrint-Electronic
dc.languageeng
dc.publisherWiley
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleMulti-scale relief model (MSRM): a new algorithm for the visualization of subtle topographic change of variable size in digital elevation models.
dc.typeArticle
prism.endingPage1369
prism.issueIdentifier6
prism.publicationDate2018
prism.publicationNameEarth Surf Process Landf
prism.startingPage1361
prism.volume43
dc.identifier.doi10.17863/CAM.21070
dcterms.dateAccepted2017-12-04
rioxxterms.versionofrecord10.1002/esp.4317
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2018-05
dc.contributor.orcidOrengo, Hector [0000-0002-9385-2370]
dc.contributor.orcidPetrie, Cameron [0000-0002-2926-7230]
dc.identifier.eissn1096-9837
rioxxterms.typeJournal Article/Review
pubs.funder-project-idEuropean Research Council (648609)
cam.issuedOnline2018-02-05
cam.orpheus.successThu Jan 30 13:00:52 GMT 2020 - The item has an open VoR version.
rioxxterms.freetoread.startdate2100-01-01


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International