Using Near-Surface Photogrammetry Assessment of Surface Roughness (NSPAS) to assess the effectiveness of erosion control treatments applied to slope forming materials from a mine site in West Africa
dc.contributor.author | Campbell, Stephanie | |
dc.contributor.author | Simmons, Robert W. | |
dc.contributor.author | Rickson, R. Jane | |
dc.contributor.author | Waine, Toby | |
dc.contributor.author | Simms, Daniel M. | |
dc.date.accessioned | 2018-09-10T11:02:16Z | |
dc.date.available | 2018-09-10T11:02:16Z | |
dc.date.issued | 2018-08-30 | |
dc.description.abstract | Geo-spatial studies are increasingly using photogrammetry technology because the cost of the equipment is becoming cheaper, the techniques are accessible to non-experts and can generate better quality topographic data than traditional approaches. NSPAS (Near-Surface Photogrammetry Assessment of Surface Roughness) was developed to quantify the micro-topographic changes in ground surface roughness caused by simulated rainfall, to better understand the comparative erodibility of two non-soil and one soil slope forming materials from a mine in West Africa. This innovative approach creates DEMs (digital elevation models) using image pairs acquired by near-surface stereo photogrammetry (<300 m), to measure surface roughness within Leica Photogrammetry Suite 2011 (LPS) in ERDAS Imagine software and ESRI Arc-GIS. NSPAS can readily quantify aggregate breakdown processes across a 0.02 m2 surface by accurately detecting 0.84 mm to 2.49 mm changes in surface topography. The methodology is advantageous to micro-scale (<1 cm2) studies that require a high number of accurate DEMs, because it will produce image pairs even when the target does not have contrasting surface features in shot, which can be a constraint for the automated technique Structure from Motion. This paper demonstrates how NSPAS is more suitable to assess erosion from slope forming materials that do not have a high content of large rocks (>2 mm) at the surface. With further development NSPASS has the capability to be used in many other types of geospatial investigations. | en_UK |
dc.identifier.citation | Stephanie Campbell, Robert Simmons, Jane Rickson, et al., Using Near-Surface Photogrammetry Assessment of Surface Roughness (NSPAS) to assess the effectiveness of erosion control treatments applied to slope forming materials from a mine site in West Africa. Geomorphology, Volume 322, Issue December, 2018, pp. 188-195 | en_UK |
dc.identifier.issn | 0169-555X | |
dc.identifier.uri | https://doi.org/10.1016/j.geomorph.2018.08.027 | |
dc.identifier.uri | http://dspace.lib.cranfield.ac.uk/handle/1826/13465 | |
dc.language.iso | en | en_UK |
dc.publisher | Elsevier | en_UK |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Near-Surface Photogrammetry Assessment of Surface Roughness (NSPAS) | en_UK |
dc.subject | Surface roughness | en_UK |
dc.subject | Erosion | en_UK |
dc.subject | Slope forming materials | en_UK |
dc.title | Using Near-Surface Photogrammetry Assessment of Surface Roughness (NSPAS) to assess the effectiveness of erosion control treatments applied to slope forming materials from a mine site in West Africa | en_UK |
dc.type | Article | en_UK |
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