| dc.creator |
Campbell, Stephanie |
|
| dc.creator |
Simmons, Robert W. |
|
| dc.creator |
Rickson, Jane |
|
| dc.creator |
Waine, Toby |
|
| dc.creator |
Simms, Daniel |
|
| dc.date |
2018-09-10T11:02:16Z |
|
| dc.date |
2018-09-10T11:02:16Z |
|
| dc.date |
2018-08-30 |
|
| dc.date.accessioned |
2022-05-25T16:38:21Z |
|
| dc.date.available |
2022-05-25T16:38:21Z |
|
| dc.identifier |
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 |
|
| dc.identifier |
0169-555X |
|
| dc.identifier |
https://doi.org/10.1016/j.geomorph.2018.08.027 |
|
| dc.identifier |
http://dspace.lib.cranfield.ac.uk/handle/1826/13465 |
|
| dc.identifier.uri |
http://localhost:8080/xmlui/handle/CUHPOERS/182322 |
|
| dc.description |
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. |
|
| dc.language |
en |
|
| dc.publisher |
Elsevier |
|
| dc.rights |
Attribution-NonCommercial-NoDerivatives 4.0 International |
|
| dc.rights |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
|
| dc.subject |
Near-Surface Photogrammetry Assessment of Surface Roughness (NSPAS) |
|
| dc.subject |
Surface roughness |
|
| dc.subject |
Erosion |
|
| dc.subject |
Slope forming materials |
|
| 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 |
|
| dc.type |
Article |
|