A CASE STUDY ON THE POSSIBILITY OF SOIL MELIORATIVE STATE ASSESSMENT BY REMOTE SENSING DATA
Keywords:regression analysis, remote sensing, soil survey, spatial monitoring
The paper presents the results of the pilot study on the relationship between spatial bare-soil normalized difference vegetation index and content of salts in the dark-chestnut soil of the South of Ukraine. The study is based on the results of soil analyses, conducted in 2016 within the framework of sweet corn cultivation technology investigation at the Agricultural Cooperative Farm of Bilozersky district, Kherson oblast. The results of laboratory analyses were connected to bare-soil values of the spatial vegetation index, obtained at OneSoil platform. The relationship was estimated through rank correlation and polynomial regression analysis. As a result, very strong relationship was established between bare-soil vegetation index and toxic salts content in the soil, while moderate inter-connection was found out between the index and total salts content in the soil. The second-grade polynomial models, developed in the intercourse of regression analysis, proved to have very good fitting quality and accuracy of the salts content prediction, with the mean absolute percentage error 2.93-4.27%. Thus, bare-soil normalized difference vegetation index is suitable and prospective for meliorative surveys of the dark-chestnut soils of the South of Ukraine.
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