Benchmarking and Mapping of Soil Material Redistribution in Arable Areas

Estimation of the soil loss spatial differentiation is demanded in soil and environmental studies and land management. It appears valuable also when implementing precision farming principles. Generally, soil loss estimation assumes multiple in situ at-a-point assessments of soil loss. Reliable techniques for indirect assessment and geospatial interpolation remain awaited for implementation in this domain. In the current publication, we describe a step-by-step computational methodology for data processing developed for an experimental area. Additionally, we summarize recommendations for the methodology application for the study of arable planes characterized by polygonal-block micro-scale landforms.