Comparison and application of remote sensing and geostatistics methods to spatial distribution of surface soil organic carbon

Soil organic carbon is a core index of soil fertility. It was important for precision agriculture and rational fertilization to understand soil organic carbon (SOC) concentration and its spatial distribution pattern. In this study, geostatistics and remote sensing methods were used to analyze the surface soil organic carbon (SSOC) of Hailun City of Heilongjiang Province respectively. The results show that SSOC is very significantly correlated with TM1(r=0.32, p＜0.01) and significantly correlated with TM2, TM3 and NDSVI (p＜0.05). At the same time, remote sensing method has significant advantages in sample numbers and conformed with reality compared with geostatistics, under the same accuracy. Therefore, remote sensing method was a potential and high performance way to study SSOC spatial distribution pattern.