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Characterising soil surface roughness using a combined structural and spectral approach

Croft, H. and Anderson, K. and Kuhn, N. J.. (2009) Characterising soil surface roughness using a combined structural and spectral approach. European journal of soil science, Vol. 60, H. 3. pp. 431-442.

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Official URL: http://edoc.unibas.ch/dok/A6001828

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Abstract

The ability to quantitatively and spatially assess soil surface roughness is important in geomorphology and land degradation studies. This paper describes the results of an experiment designed to investigate whether hyperspectral directional reflectance factors can describe fine-scale variations in soil surface roughness. A Canadian silt loam soil was sieved to an aggregate size range of 1–4.75 mm and exposed to five different artificial rainfall durations to produce soils displaying progressively decreasing levels of surface roughness. Each soil state was measured using a point laser profiling instrument at 2 mm spatial resolution, in order to provide information on the structure and spatial arrangement of soil particles. Hyperspectral directional reflectance factors were measured using an Analytical Spectral Devices FieldSpec Pro Spectroradiometer (range 350–2500 nm), at a range of measurement angles (θr=-60° to +60°) and illumination angle conditions (θi= 28°–74°). Directional reflectance factors varied with illumination and view angles, and with soil structure. Geostatistically-derived indicators of soil surface roughness (sill variance) were regressed with directional reflectance factors. The results showed a strong relationship between directional reflectance and surface roughness (R2= 0.94 where θr=-60°, θi= 67°–74°). This fine-scale quasi-natural experiment allowed the control of slope, initial aggregate size and rainfall exposure, permitting an investigation into factors affecting a soil's bidirectional reflectance response. This has highlighted the relationship between fine-scale variations in surface roughness, illumination angle and reflectance response. The results show how the technique could provide a quantitative measure of surface roughness at fine spatial scales.
Faculties and Departments:05 Faculty of Science > Departement Umweltwissenschaften > Geographie > Physiogeographie und Umweltwandel (Kuhn)
UniBasel Contributors:Kuhn, Nikolaus J.
Item Type:Article, refereed
Article Subtype:Research Article
Bibsysno:Link to catalogue
Publisher:Blackwell Science
ISSN:1351-0754
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:24 May 2013 09:01
Deposited On:14 Sep 2012 07:11

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