Assessment of soil texture class on agricultural fields using ECa,Amber NDVI,and topographic properties |
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| Authors: | Michał Stępień Stanisław Samborski Dariusz Gozdowski Eike Stefan Dobers Jarosław Chormański Jan Szatyłowicz |
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| Affiliation: | 1. Department of Agronomy, Warsaw University of Life Sciences, Nowoursynowska 159, 02‐776 Warsaw, Poland;2. Department of Experimental Design and Bioinformatics, Warsaw University of Life Sciences, Nowoursynowska 159, 02‐776 Warsaw, Poland;3. Ag‐GeoData, Nikolausberger Weg 63, 37073 G?ttingen, Germany;4. Department of Hydraulic Engineering, Warsaw University of Life Sciences, Nowoursynowska 159, 02‐776 Warsaw, Poland;5. Department of Environmental Improvement, Warsaw University of Life Sciences, Nowoursynowska 159, 02‐776 Warsaw, Poland |
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| Abstract: | Soil texture (ST) is relatively stable over time, although it may change due to erosion, clay eluviation, and other processes. Soil texture affects soil quality, productivity and management. Therefore, indirect, accurate methods for assessing of soil texture classes (STCs) are needed in agricultural practice. A study was performed on four production fields in northern and central Poland to compare the fitting performance of STC models based on apparent electrical conductivity (ECa), topographic properties (elevation, slope gradient and wetness index) and Amber NDVI measurements. One common and accurate indicator of STCs was not found for all study fields. On average, ECa was most accurate in indicating areas of different STCs within the fields, but it tended to overestimate the size of sandy areas on loamy fields and vice versa. The accuracy of STC assessment using ECa measurements may be biased due to imperfect soil drainage, high elevations, which increase evaporation and STC variation with depth. STC assessment using Amber NDVI measurements may be useful, particularly on flat and sandy fields, but the results are affected by the same factors as ECa, and additionally by crop growth stages and by the weather conditions in the period preceding the measurements. Despite the good quantitative results of the STC assessment by elevation (one field) and by the topographic wetness index (another field), both terrain attributes failed to accurately indicate the distribution of some STC areas within each field. Therefore, in landscapes developed from deposits of the last glaciation relevant ST differences might not sufficiently be detected by the analysis of terrain attributes alone. The selection of STC predictors and evaluation of the assessment quality must consider both the quantitative indicators such as correlation and determination coefficients describing relationships between ST and ECa, NDVI and topography and percentage of a field area with accurately indicated STC and the distribution of areas with different STCs within a field. The use of ECa, NDVI values, and topographic properties for STC assessment may be useful in reducing costs of soil sampling and analysis, but cannot replace it. |
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| Keywords: | soil texture class electrical conductivity topography Normalized Difference Vegetation Index |
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