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Depositordc.contributorGrieve, Stuart
Funderdc.contributor.otherNERC - Natural Environment Research Councilen_UK
Funderdc.contributor.otherUS Army Research Officeen
Spatial Coveragedc.coverage.spatialOregonen_UK
Spatial Coveragedc.coverage.spatialNorth Carolinaen_UK
Spatial Coveragedc.coverage.spatialCaliforniaen_UK
Spatial Coveragedc.coverage.spatialCascade Ridge, CAen_UK
Spatial Coveragedc.coverage.spatialGabilan Mesa, CAen_UK
Spatial Coveragedc.coverage.spatialOregon Coast Range, ORen_UK
Spatial Coveragedc.coverage.spatialCoweeta Hydrologic Laboratory, NCen_UK
Spatial Coveragedc.coverage.spatialUSen
Spatial Coveragedc.coverage.spatialUNITED STATESen
Data Creatordc.creatorGrieve, Stuart
Data Creatordc.creatorMudd, Simon
Data Creatordc.creatorHurst, Martin
Data Creatordc.creatorMilodowski, David
Citationdc.identifier.citationGrieve, Stuart; Mudd, Simon; Hurst, Martin; Milodowski, David. (2016). A nondimensional relief framework: data, [dataset]. University of Edinburgh. School of GeoSciences..
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Dataset Description (abstract)dc.description.abstractConsidering the relationship between erosion rate and the relief structure of a landscape within a nondimensional framework facilitates the comparison of landscapes undergoing forcing at a range of scales, and allows broad-scale patterns of landscape evolution to be observed. We present software which automates the extraction and processing of relevant topographic parameters to rapidly generate nondimensional erosion rate and relief data for any landscape where high-resolution topographic data are available. Individual hillslopes are identified using a connected-components technique which allows spatial averaging to be performed over geomorphologically meaningful spatial units, without the need for manual identification of hillslopes. The software is evaluated on four landscapes across the continental United States, three of which have been studied previously using this technique. We show that it is possible to identify whether landscapes are in topographic steady state. In locations such as Cascade Ridge, CA, a clear signal of an erosional gradient can be observed. In the southern Appalachians, nondimensional erosion rate and relief data are interpreted as evidence for a landscape decaying following uplift during the Miocene. An analysis of the sensitivity of this method to free parameters used in the data smoothing routines is presented which allows users to make an informed choice of parameters when interrogating new topographic data using this method. A method to constrain the critical gradient of the nonlinear sediment flux law is also presented which provides an independent constraint on this parameter for three of the four study landscapes.en_UK
Dataset Description (TOC)dc.description.tableofcontentsAn included readme file (README.txt) provides an overview of the dataset's contents.en_UK
Publisherdc.publisherUniversity of Edinburgh. School of GeoSciences.en_UK
Relation (Is Referenced By)dc.relation.isreferencedby
Relation (Is Referenced By)dc.relation.isreferencedbyGrieve SWD; Mudd SM; Hurst MD; Milodowski DT "A nondimensional framework for exploring the relief structure of landscapes" Earth Surface Dynamics. doi:10.5194/esurf-2015-53en_UK
Rightsdc.rightsCreative Commons Attribution 4.0 International Public Licenseen
Sourcedc.sourceLidar data acquisition and processing completed by the National Center for Airborne Laser Mapping (NCALM - NCALM funding provided by NSF's Division of Earth Sciences, Instrumentation and Facilities Program. EAR-1043051.en_UK
Subject Classificationdc.subject.classificationPhysical Sciences::Geomorphologyen_UK
Titledc.titleA nondimensional relief framework: dataen_UK

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