Predicting the changes of surface soil organic matter contents with remote sensing inversion model in the northern Xuzhou mining areas

A further acquaintance to surface SOM contents, especially the spatial pattern, can provide theoretical foundation for developing precision agriculture and reducing farming costs. In spite of high accuracy spatial distribution map of surface SOM contents by means of the common sampling method at present (Grid sampling method and Zone sampling method), long natural cycle and high demand for manpower and material resources bring down the guiding significance, let alone easily restricted by geographical location.