TY  - JOUR
A1  - van der Kroef, Ilona
A1  - Koszinski, Sylvia
A1  - Grinat, Michael
A1  - van der Meij, Marijn W.
A1  - Hierold, Wilfried
A1  - Südekum, Wolfgang
A1  - Sommer, Michael
T1  - Digital mapping of buried soil horizons using 2D and pseudo-3D geoelectrical measurements in a ground moraine landscape
T2  - European journal of soil science : EJSS
N2  - The identification of buried soil horizons in agricultural landscapes helps to quantify sediment budgets and erosion-related carbon dynamics. High-resolution mapping of buried horizons using conventional soil surveys is destructive and time consuming. Geoelectrical sensors can offer a fast and non-destructive alternative for determining horizon positions and properties. In this paper, we compare the suitability of several geoelectrical methods for measuring the depth to buried horizons (Apb, Ahb and Hab) in the hummocky ground moraine landscape of northeastern Germany. Soil profile descriptions were developed for 269 locations within a 6-ha experimental field "CarboZALF-D". A stepwise linear discriminant analysis (LDA) estimated the lateral position of the buried horizons using electromagnetic induction data and terrain attributes. To predict the depth of a buried horizon, multiple linear regression (MLR) was used for both a 120-m transect and a 0.2-ha pseudo-three-dimensional (3D) area. At these scales, apparent electrical conductivity (ECa), electrical resistivity (ER) and terrain attributes were used as independent variables. The LDA accurately predicted Apb- and Ahb-horizons (a correct classification of 93%). The LDA of the Hab-horizon had a misclassification of 24%, which was probably related to the smaller test set and the higher depth of this horizon. The MLR predicted the depth of the Apb-, Ahb- and Hab-horizons with relative root mean square errors (RMSEs) of 7, 3 and 13%, respectively, in the pseudo-3D area. MLR had a lower accuracy for the 2D transect compared to the pseudo-3D area. Overall, the use of LDA and MLR has been an efficient methodological approach for predicting buried horizon positions. Highlights The suitability of geoelectrical measurements for digital modelling of diagnostic buried soil horizons was determined. LDA and MLR were used to detect multiple horizons with geoelectrical devices and terrain attributes. Geoelectrical variables were significant predictors of the position of the target soil horizons. The use of these tested digital technologies gives an opportunity to develop high-resolution soil mapping procedures.
KW  - colluvium depth modelling
KW  - electrical conductivity
KW  - electrical resistivity tomography
KW  - electromagnetic induction
KW  - EM38DD
KW  - linear discriminant analysis
KW  - linear regression
KW  - moraine soil landscape
Y1  - 2019
UR  - https://publishup.uni-potsdam.de/frontdoor/index/index/docId/50918
SN  - 1351-0754
SN  - 1365-2389
VL  - 71
IS  - 1
SP  - 10
EP  - 26
PB  - Wiley
CY  - Hoboken
ER  -