De Boever, Maarten

Decleir, Brian

Frankl, Amaury

Ghent University Academic Bibliography

Geophysical Research AbstractsVol. 21, EGU2019-2180-2, 2019EGU General Assembly 2019© Author(s) 2018. CC Attribution 4.0 license.Using very-high resolution 4D proximate soil sensing to quantify soil lossat plot-scale during a cropping season (East-Flanders, Belgium)Brian Decleir (1), Maarten De Boever (2), Amaury Frankl (1,3)(1) Department of Geography, Ghent University, Krijgslaan 281, S8, B-9000, Ghent, Belgium (Brian.Decleir@UGent.be), (2)Provincial Research Centre for Vegetables East-Flanders (PCG), Karreweg 6, B-9770, Kruishoutem, Belgium, (3) ResearchFund Flanders (FWO), Egmontstraat 5, B-1000 Brussels, BelgiumStructure-from-Motion (SfM) photogrammetry is now being widely used in geosciences in order to quantifychanges in surface morphology that are the result of geomorphic processes. In soil erosion research, the quantifica-tion of sheet and rill erosion in cropland remains a challenge for multiple reasons. First, the loss and accumulationof soil and sediment caused by sheet and rill erosion causes only minor topographical changes within a croppingseason and thus requires capturing the surface morphology accurately at very-high resolutions. Second, the iden-tification of sheet erosion may be biased by micro-elevation changes of the soil surface due to the settling of thesurface after sowing, or due to fluctuations in temperature and moisture. And third, crop growth limits the durationfor which monitoring is possible, as it rapidly makes the soil surface invisible when photographed from above.Here, we present a case study of the quantification of soil erosion at plot-scales using SfM-photogrammetry anddiscuss the technical challenges in very-high resolution 4D monitoring campaigns. Our study was done parallel tomeasurements of sediment yield at experimental plots (testing the effect of recent agronomic innovations for maizeand potatoes on erosive-prone soils for the Interreg 2 Seas project Triple C; East-Flanders, Belgium). Collectingimages was done at about 7 m above the ground using a photograph camera (16MP Panasonic Lumix DMC-GM5)attached to a telescopic pole. As ground control points, stakes were inserted in the soil (30 cm) and their posi-tion was measures using a total station. Following every rainfall event, the experimental plots were surveyed andprocessed into Digital Surface Models (DSMs) using Photoscan (Agisoft). The ground resolution of the DSMs isabout 2-4 mm, with an XYZ-accuracy for change detection of about 1.5 cm. Early results show clear patterns oferosion and sedimentation consistent with field observations. For the potato field, the soil loss corresponds to 3 Mgper hectare after two rainfall events cumulating at 45 mm. A good correspondence exists between the quantifiedtopographical changes and the sediment yield from the plots.

Using very-high resolution 4D proximate soil sensing to quantify soil loss at plot-scale during a cropping season (East-Flanders, Belgium)

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Using very-high resolution 4D proximate soil sensing to quantify soil loss at plot-scale during a cropping season (East-Flanders, Belgium)

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