Abstract
A dependence of characteristics of the spectrum-zonal raster images by Landsat 7 ETM+ was examined, in particular, albedo of reflectivity r and certain vegetation indexes, on the soil properties in the transition zone of Central Polissya in Ukraine. In present paper we applied an algorithm for constructing agrochemical schematic maps using Quantum GIS. An importance was established of the selection of approaches to diagnosing the magnitudes of soil and agrochemical indicators of soil properties with attributes of hydromorphicity, particularly during the formation of statistical sampling to conduct a correlation-regression analysis. It is demonstrated that the possibility of identification and the quality of diagnosing certain individual indicators of soil properties, as well as informativeness of certain channels, depends on putting an accent (priority) in the form of compiling uniform statistical sample. It was found that combining a sample by the uniformity of the type of soil and granulometric composition of soils allows a more pronounced identification of dynamic magnitude of the nutrient content – movable phosphorus and exchangeable potassium. It is established that given the multi-component screening of the Earth surface with vegetation, a degree of correlation connection between characteristics of spectrum-zonal images and the indicators of soil properties beyond the vegetation period is significantly reduced.
Highlights
It is generally known that the transformation of the world land resources as a result of anthropogenic influence and as a result of significant climate changes requires reliable information about the course of quantitative and qualitative changes in the indicators of soil fertility.In this aspect, it is rather important for the researchers to be able to monitor changes in the individual indicators over the short and long-term perspectives
In the course of conducting monitoring studies of soil cover, the methods of Earth remote sensing (ERS) are considered to be quite effective at present, which are used under conditions of different soil-climatic zones of Ukraine
The results indicate an acceptable level of reliability at multiple correlation R2=0.67 and 0.65 for calibrated data and validation data, respectively, for different types of soils in Africa
Summary
It is generally known that the transformation of the world land resources as a result of anthropogenic influence and as a result of significant climate changes requires reliable information about the course of quantitative and qualitative changes in the indicators of soil fertility. With regard to the aforementioned, obtaining objective information about the condition, spatial distribution, efficient ways to use soils under conditions of strengthening degradation processes, require further study In this case, improvement and development of new effective and cheap methods for the remote diagnosis of soil cover acquire special importance. The relevance of the conducted studies is in the need for development of technologies that combine using geoinformation technologies and methods for remote sensing of qualitative characteristics of soils In this case, it is important to devise a complete algorithm for remote identification of qualitative parameters of soils, which should include establishing dependences, their assessment and the construction of schematic maps (maps). The role of effective tools in the form of functional software is hard to overestimate
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