Delineating high-density areas in spatial Poisson fields from strip-transect sampling using indicator geostatistics: Application to unexploded ordnance removal

摘要: An approach for delineating high anomaly density areas within a mixture of two or more spatial Poisson fields based on limited sample data collected along strip transects was developed. All sampled anomalies were transformed to count and indicator kriging used estimate the probability exceeding threshold value derived from cdf background homogeneous field. The determined so that delineation high-density optimized. Additionally, low-pass filter applied transect enhance such segmentation. Example calculations completed using controlled military model site, in which accurate clusters unexploded ordnance (UXO) required site cleanup.