Predicting the changes of surface soil organic matter contents with remote sensing inversion model in the northern Xuzhou mining areas
2014
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.
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