A multivariate spatial interpolation of airborne {\gamma}-ray data using the geological constraints
E. Guastaldi, M. Baldoncini, G. P. Bezzon, C. Broggini, G. P. Buso, A., Caciolli, Carmignani L., I. Callegari, T. Colonna, K. Dule, G. Fiorentini, M., Ka\c{c}eli Xhixha, F. Mantovani, G. Massa, R. Menegazzo, L. Mou, C. Rossi, Alvarez, V. Strati, G. Xhixha, A. Zanon

TL;DR
This study develops a multivariate spatial interpolation method combining airborne gamma-ray data with geological constraints to produce detailed radioelement maps of Elba Island, revealing correlations between geology and radioactivity.
Contribution
It introduces a collocated cokriging approach that integrates geological information as ancillary variables, improving the accuracy of radiometric data interpolation.
Findings
High correlations among K, eU, and eTh measurements confirmed
Distinct geological formations show characteristic radioactivity levels
Anomalies reveal hidden geological features like felsic dykes
Abstract
In this paper we present maps of K, eU, and eTh abundances of Elba Island (Italy) obtained with a multivariate spatial interpolation of airborne {\gamma}-ray data using the constraints of the geologic map. The radiometric measurements were performed by a module of four NaI(Tl) crystals of 16 L mounted on an autogyro. We applied the collocated cokriging (CCoK) as a multivariate estimation method for interpolating the primary under-sampled airborne {\gamma}-ray data considering the well-sampled geological information as ancillary variables. A random number has been assigned to each of 73 geological formations identified in the geological map at scale 1:10,000. The non-dependency of the estimated results from the random numbering process has been tested for three distinct models. The experimental cross-semivariograms constructed for radioelement-geology couples show well-defined…
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