Assessment of Geospatial analysis of soil properties using geostatistics models

Abstract

Abstract Accurate estimation of the spatial variability of soil properties is a critical component of agriculture ecosystem and environment modeling. The primary goal of this research is to determine soil characteristics and their spatial variability. The data was analysed for geographic variability using a combination of traditional analytical approaches and geostatistical methods. In October 2019, soil samples were taken from field through random sampling in Jagdalpur block of Bastar district, Chhattisgarh (India). Standard analytical procedures were used to assess pH, EC, Organic carbon, Iron, Nickel and Chromium in the soil. For direct envisaging of soil parameters, a conventional ordinary kriging (OK) interpolation was applied. Finally, by overlaying maps in a GIS context, the spatial distribution and correlation between OC and other soil parameters proclaimed.