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Visual Validation of the e-RUSLE Model Applied at the Pan-European Scale

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posted on 2014-12-16, 00:08 authored by Claudio Bosco, Daniele de RigoDaniele de Rigo, Olivier Dewitte

Bosco, C., de Rigo, D., Dewitte, O., 2014. Visual Validation of the e-RUSLE Model Applied at the Pan-European Scale. Scientific Topics Focus 1, MRI-11a13. Notes Transdiscipl. Model. Env., Maieutike Research Initiative. https://doi.org/10.6084/m9.figshare.844627


PDF: http://purl.org/mtv/STF/pdf/1843225


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This is a preliminary version. Any future version will be accessible from the same DOI code (https://doi.org/10.6084/m9.figshare.844627). The views expressed are those of the authors and may not be regarded as stating an official position of mentioned organisations.

Visual Validation of the e-RUSLE Model Applied at the Pan-European Scale

Claudio Bosco ¹ ² ⁴, Daniele de Rigo ² ³ ⁴ and Olivier Dewitte ⁵

1 Loughborough University, Department of Civil and Building Engineering,
Loughborough, United Kingdom

2 Joint Research Centre of the European Commission,
Institute for Environment and Sustainability, Ispra, Italy

3 Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Milano, Italy

4 Maieutike Research Initiative, Milano, Italy

5 Royal Museum for Central Africa, Department of Earth Sciences, Tervuren, Belgium

Validating soil erosion estimates at regional or continental scale is still extremely challenging. The common procedures are not technically and financially applicable for large spatial extents, despite this some options are still applicable.

For validating the European map of soil erosion by water calculated using the approach proposed in Bosco et al. [1] we applied alternative qualitative methods based on visual evaluation. The 1 km 2 map was validated through a visual and categorical comparison between modelled and observed soil erosion.

A procedure employing high-resolution Google Earth images and pictures as validation data is here shown. The resolution of the images, rapidly increased during the last years, allows for a visual qualitative estimation of local soil erosion rates.

A cluster of 3x3 K m 2 around 85 selected points was analysed by the authors. The results corroborate the map obtained applying the e-RUSLE model. The 63% of a random sample of 732 grid cells are accurate, 83% at least moderately accurate with a bootstrap p ≤ 0.05).

For each of the 85 clusters, the complete details of the validation also containing the comments of the evaluators and the geo-location of the analysed areas have been reported.



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