Published: Jan 1, 2010
Soil erosion risk USLE Southern Evia Island GIS
G.D. Bathrellos
H.D. Skilodimou
K.G. Chousianitis
In the present study the evaluation of soil erosion in Southern Evia Island was carried out. Data related with precipitation, morphology, land cover and lithology were collected. A spatial database was created and the further processing of the collected data was prepared using GIS. The Universal Soil Loss Equation (USLE) was used to predict the spatial distribution of the average annual rate of erosion. Five major factors were used to calculate the soil loss. These are rainfall erositivity (R), soil erodibility (K), slope length and steepness (LS), cropping management (C) and conservation supporting practice (P). Each factor is the numerical estimate of a specific condition that affects the severity of soil erosion. The obtained soil loss values were used to create the erosion risk map. The applied methodology provides a cost effected and rapid estimation of areas that are vulnerable to soil erosion and need immediate attention from soil conservation point of view. Moreover these results can be used to assist land use planning.
Article Details
  • Section
  • GIS in Earth Sciences
Download data is not yet available.
Brady, NC., Weil RR 1999. The nature and properties of soils. Prentice Hall, Upper Saddle River, New
Jersey, 881 pp
Cebecauer, T., Suri, M., Hofierka, J., Fulajaitar E 2000. Corine land cover in the contex of soil erosion
XLIII, No 3 – 1581
Dabral, PP., Murry, RL., Lollen, P., 2001. Erodibility status under different land uses in Dikrong river basin
of Arunachal Pradesh. Indian. Soil Conserv., 29(3), 280-282.
Descroix, L., Mathys, N. 2003. Processes, spatio-temporal factors and measurements of current erosion
in the French Southern Alps: a review. Earth Surface Processes and Landforms, 28, 993 – 1011.
Desmet, PJ, Govers, G 1996. A GIS-procedure for the automated calculation of the USLE LS-factor on
topographically complex landscape units. Soil Water Conserv 51(5), 427–433
Dregne, H. E. 2002. Land Degradation in the Drylands. Arid Land Research and Management, 16, 99 –
ESRI, 2005. ArcDoc for ArcGIS, version 9 Help on CDROM.
Foster, GR., Mc Cool, DK., Renard, KG., Moldenhauer, WC., 1991. Conversion of the Universal Soil Loss
Equationti SI metric units. Soil Water Consev., 36, 356-359.
IGME, 1977. Geological Map of Greece (Rafina sheet), scale 1:50.000.
IGME, 1991. Geological Map of Greece (Karistos-Platanistos sheet), scale 1:50.000.
Karydas, C., Sekuloska, T., Silleos, G. 2009. ‘Quantification and site-specification of the support practice
factor when mapping soil erosion risk associated with olive plantations in the Mediterranean island
of Crete. Environmental Monitoring and Assessment 149, 19-28.
Mitchell, J., & Bubenzer, G. D. (1980) Soil loss estimation. In Kirkby, M. J., & Morgan, R. P. C. (Eds.)
Soil erosion, John Wiley & Sons: Chichester.
Moore I, Burch G 1986a. Physical basis of the length-slope factor in the universal soil loss equation. Soil
Sci Soc Am 50,1294–1298.
Moore I, Burch G 1986b. Modeling erosion and deposition: topographic effects. Trans Am Soc Agr Eng
(6),1624–1630, 1640
Thampapillai, DA., Anderson, JR., 1994. A review of the socio-economic analysis of soil degradation
problem for developed and developing countries. Rev. Mark Agric. Econ., 62, 291-315.
Van Der Knijff, J.M., Jones, R.J.A. and Montanarella, L., 2000. Soil Erosion Risk Assessment in Europe,
EUR 19044 EN, 34pp.
Wischmeier WH, Johnson CB, Cross BV (1971) A soil erodibility nomograph for farmland and construction
sites. Soil Water Conserv 26 (5),189–193
Wischmeier, W.H. and Smith, D.D. 1978. Predicting Rainfall Erosion Losses. USDA Agriculture Handbook