Show simple item record

Depositordc.contributorGrieve, Stuart
Funderdc.contributor.otherNERC - Natural Environment Research Councilen_UK
Funderdc.contributor.otherU.S. Army Research Officeen_UK
Spatial Coveragedc.coverage.spatialOregonen_UK
Spatial Coveragedc.coverage.spatialCaliforniaen_UK
Spatial Coveragedc.coverage.spatialUSen
Spatial Coveragedc.coverage.spatialUNITED STATESen
Citationdc.identifier.citationUniversity of Edinburgh. School of GeoSciences. (2016). How does grid-resolution modulate geomorphic processes: data, [dataset].
Persistent Identifierdc.identifier.uri
Persistent Identifierdc.identifier.uri
Dataset Description (abstract)dc.description.abstractIn many locations, our ability to study the processes which shape the Earth are greatly enhanced through the use of high resolution digital topographic data. However, although the availability of such datasets has markedly increased in recent years, many locations of significant geomorphic interest still do not have high resolution topographic data available. Here, we aim to constrain how well we can understand surface processes through topographic analysis performed on lower resolution data. We generate digital elevation models from point clouds at a range of grid resolutions from 1 to 30 meters, which covers the range of widely used data resolutions available globally, at three locations in the United States. Using these data, the relationship between curvature and grid resolution is explored, alongside the estimation of the hillslope sediment transport coefficient ($D$, in m$^2$ yr$^{-1}$) for each landscape. Curvature, and consequently $D$, values are shown to be generally insensitive to grid resolution, particularly in landscapes with broad hilltops and valleys. Curvature distributions, however, become increasingly condensed around the mean, and theoretical considerations suggest caution should be used when extracting curvature from landscapes with sharp ridges. The sensitivity of curvature and topographic gradient to grid resolution are also explored through analysis of one dimensional approximations of curvature and gradient, providing a theoretical basis for the results generated using two dimensional topographic data. Two methods of extracting channels from topographic data are tested. A geometric method of channel extraction that finds channels by detecting threshold values of planform curvature is shown to perform well at resolutions up to 30 meters in all three landscapes. The landscape parameters of hillslope length and relief are both successfully extracted at the same range of resolutions. These parameters can be used to detect landscape transience and our results suggest that such work need not be confined to high resolution topographic data. A synthesis of the results presented in this work indicate that although high resolution (e.g., 1 m) topographic data does yield exciting possibilities for geomorphic research, many key parameters can be understood in lower resolution data, given careful consideration of how analyses are performed. Data sourced from
Dataset Description (TOC)dc.description.tableofcontentsSee README.txten_UK
Publisherdc.publisherUniversity of Edinburgh. School of GeoSciencesen_UK
Relation (Is Referenced By)dc.relation.isreferencedby
Rightsdc.rightsCreative Commons Attribution 4.0 International Public Licenseen
Sourcedc.sourceData sourced from OpenTopography.orgen_UK
Subjectdc.subjectdata resolutionen_UK
Subjectdc.subjectpoint clouden_UK
Subject Classificationdc.subject.classificationPhysical Sciences::Geomorphologyen_UK
Titledc.titleHow does grid-resolution modulate geomorphic processes: dataen_UK

Download All
zip file MD5 Checksum: 0f0377764542e8ebf5586b6691d07506

Files in this item


This item appears in the following Collection(s)

Show simple item record