Abstract
This study focuses on the multiscale calculation of different plan curvature forms to enhance the modeling of soil penetration resistance and gravimetric soil water content utilizing the classification and regression trees algorithm in a low-relief watershed. To that end, three forms of plan curvature were derived using the Wood method from a two-meter digital elevation model on six neighborhood sizes. The results showed that the neighborhood size influenced the plan curvature values and there was little difference between the utilization of three forms of plan curvature in the landform determination. The modeling results indicated that the three forms of plan curvature on most neighborhood scales have different contributions to each other in modeling the spatial variability of each soil property. The neighborhood scale was a critical factor in soil modeling because it controls the smoothing rate of plan curvature. The overall results suggest that soil models with poor performance could be constructed if the plan curvature forms and the neighborhood size are not considered in the geomorphometric analysis. Therefore, it is recommended to use the procedure implemented in this study for digital soil mapping in various regions.
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The data that support the findings of this study are available from the corresponding author upon reasonable request.
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This work was supported by the Shahid Chamran University of Ahvaz [SCU.AS1400.364].
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Khanifar, J., Khademalrasoul, A. Multiscale computation of different plan curvature forms to enhance the prediction of soil properties in a low-relief watershed. Acta Geophys. 72, 933–944 (2024). https://doi.org/10.1007/s11600-022-01013-0
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DOI: https://doi.org/10.1007/s11600-022-01013-0