Dkhala B. auteur aut IRD Mezned N. auteur aut IRD Gomez Cécile auteur aut IRD Abdeljaouad S. auteur aut IRD text journalArticle eng text/pdf born digital access Mining in Tunisia generates a large amount of tailings charged with toxic minerals. As these tailings have a wide spread distribution, it is important to characterize and estimate their impact on soil contamination. This study examines the potential of field hyperspectral spectroscopy and SENTINEL-2 Multispectral data in estimating and mapping seven minerals content, including three toxic minerals (fluorite, barite and sphalerite), within soils around Hammam Zriba mine in Northen Tunisia. 69 soil and dike surface samples were collected, field Visible, Near InfraRed (VNIR) and Short-Wave InfraRed (SWIR) reflectance spectra were measured on these surfaces. The X-ray diffraction (XRD) method was used to identify the types of mineral and their associated contents on each collected soil samples. The mineral contents were predicted using the partial least squares regression (PLSR) method using i) field VNIR-SWIR spectra at raw spectral resolution, ii) field VNIR-SWIR spectra aggregated to the SENTINEL-2 spectral resolution and then iii) SENTINEL-2 spectra. This study shows 1) an accurate prediction of four of the seven minerals using field VNIR-SWIR spectroscopy, 2) a slight decrease of performances due to spectral resolution degradation (SENTINEL-2 simulated spectra) and 3) a significant decrease of performances due to spatial resolution degradation, except for fluorite. This work paves the way for large-scale mapping of minerals with high pollution potential using SENTINEL-2 data. In addition, the high frequency of SENTINEL-2 data may be used to monitor the spatial distribution of some minerals with high pollution potential in soils. specialized TUNISIE 068 064 126 021 740 art. 140160 [18 ] 2020 0048-9697 https://www.documentation.ird.fr/hor/fdi:010078831 10.1016/j.scitotenv.2020.140160 0048-9697 [F B010078831] https://www.documentation.ird.fr/hor/fdi:010078831 https://www.documentation.ird.fr/intranet/publi/depot/2020-07-31/010078831.pdf Accès réservé (Intranet de l'IRD) IRD - Base Horizon / Pleins textes 2020-07-22 2025-02-24 fdi:010078831 fre