Geostatistical filtering techniques are commonly applied to improve the quality of seismic data such as velocity cubes or interpreted horizons. However, to our knowledge their application to near-surface geophysics is less common. The paper shows how geostatistical filtering can be used to decompose "geophysical anomalies" into long and short wavelength components. The present paper therefore aims at illustrating the benefit of these techniques through two examples. In the first one, dedicated to refraction imaging, geostatistics allow to filter out acquisition artifacts and to identify the main geological features. The second example presents how a global trend can be filtered out in a Bouguer anomaly dataset (gravity survey), letting appear interesting local anomalies.


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