Published in Scientific Papers. Series A. Agronomy, Vol. LXIII, Issue 1
Written by Irina PLISKO, Тatiana BYNDYCH
Global trends in agricultural production and environmental management require the mandatory use of geoinformation technologies and Earth remote sensing data as a basis for informational support for effective management of land and soil resources. Therefore, it is important to develop a methodology for using space scanning data to create spatiallydifferentiated soil quality management systems, which take into account the quantitative estimates of spatial soil variation and the results of pedotransfer modeling to evaluate soil quality and create optimal agrotechnologies. Experimental studies in different regions of Ukraine showed the effectiveness of the developed technology for soil decoding by multispectral space data with high spatial resolution to determine soils, which are different in complex assessment of soil physical quality for the diagnosis of especially valuable, optimal and modal parameters of soils, their degraded and underproductive kinds. Coherent analysis of the results of space image classification and geostatistical processing of soil field surveys is effective for a reasonable extrapolation of evaluation results at large territories and the development of agrotechnologies, which provide optimal conditions for development of agricultural plants and increase their productivity.
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