In seismic exploration, seismic random noise is considered as temporal and spatial random process. Due to the complex environment of desert seismic exploration, the noise shows many different properties, such as: non-Gaussian, weak similarity and low frequency characteristics. Because it is highly unpredictable, it can only be qualitatively analyzed. We improves the Kendall's rank correlation coefficient combining spatial information to investigate the spatial correlation property of the desert noise. Based on this method, the noise with spatial correlation is statistically calculated. The spatial correlation coefficient of the desert seismic data illustrate that the spatial rank correlation coefficient can reflect the noise spatial structure well and quantify the spatial correlation degree of noise. We find that desert noise has a spatially weak correlation property in which inconsistent noise is the main component. In addition, because there are few surface vegetation in desert areas, wind speed is also an important factor affecting the spatial noise of desert noise. Desert noise shows weaker spatial correlation after wind speed increases.


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