This thesis deals with the study of soil variability and soil properties through direct and indirect methods. The aim of this work was to verify whether the combination of data, determined by direct and indirect mapping methods, will allow to identify the variability that will be used to more accurately differentiate the cultivation measures. Within the thesis, a model of bare soil variability assessment was also developed from the RS data defined by the arable land blocks from the LPIS through the Principal Component Analysis (PCA) and Coefficient of Variation (CV). The model was verified by two sets of atmospherically corrected data and the observed values were compared with the results of Agrochemical Soil Testing (AST). Conformity was particularly evident in blocks with an area with more than 100 hectares, where a larg number of samples / pixels was evaluated. In order to verify the using of the data combination of directly and indirectly mapping variability, two plots of 53 and 38 ha were analyzed. At both sites, soil sampling, soil electrical conductivity (ECa) was measured, and the Digital Terrain Model (DTM) data and the derived Topographic Wetness Index (TWI) were obtained for optimization purposes. In total, three types of sampling designs were created for each data source of indirect mapping methods using regression analysis, variability of indirect mapping data, and a combination of ASP results from previous designs and indirect methods data. A comparison of the sampling designs has shown, that the combination of direct and indirect methods refines the variability of soil properties. However, there is a link between the input data of direct and indirect mapping methods. It is also evident, that sampling designs based on indirect measurement data provides more accurate information about the variability of the observed soil properties.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:425014 |
| Date | January 2017 |
| Creators | Novák, Jaroslav |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/doctoralThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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