Regional cartography of regolith parameters using airborne gamma ray spectrometry

Autor: Guillaume Martelet, Sébastien Drufin, Bruno Tourlière, Saby, Nicolas P. A., José Perrin, Jacques Deparis, François Prognon, Claudy Jolivet, Céline Ratié, Dominique Arrouays
Přispěvatelé: Bureau de Recherches Géologiques et Minières (BRGM) (BRGM), Unité INFOSOL (ORLEANS INFOSOL), Institut National de la Recherche Agronomique (INRA), Projet Géophy-RGF, collaboration INRA Infosol, InfoSol (InfoSol)
Jazyk: angličtina
Rok vydání: 2013
Předmět:
Zdroj: 13th SAGA Biennial Conference & Exhibition 6th International AEM Conference and Exhibition
13th SAGA Biennial Conference & Exhibition 6th International AEM Conference and Exhibition, Oct 2013, Mpumalanga, South Africa
HAL
Popis: Among the remote sensing techniques, the airborne gamma-ray spectrometry has been widely developed for several tens of years (e.g. IAEA, 1991), being nowadays almost systematically surveyed in regional mapping programs, for soil/regolith (e.g. Lacoste et al., 2011), solid geology reconnaissance (e.g. Metelka et al., 2011) or mineral potential assessment (e.g. Shives et al., 2000). Gamma-ray surveys provide maps of concentration in K, U and Th chemical elements at the ground level. These data are primarily sensitive to the mineralogy and geochemistry of the parent material, as well as its weathering products, including residual and transported clays, sand and gravel (e.g. Minty, 1997). In this study, instead of addressing complex concepts such as lithology, we chose to investigate these gamma spectrometric data by mapping parameters of the regolith, which are simple objective quantities. It is known that these parameters of the regolith: density, moisture, chemistry, all influence the natural gamma ray emissions (e.g. IAEA, 2003). Several papers assess correlations between gamma-spectrometric variables and one or few soil parameters including texture (e.g. Taylor et al., 2002), regolith chemical or mineral contents (e.g. Viscarra Rossel et al., 2007), and other soil parameters such as soil depth, total phosphorus or total carbon (e.g. McKenzie and Ryan, 1999).
Databáze: OpenAIRE