Dkhala B auteur aut IRD Mezned N. auteur aut IRD Gomez Cécile auteur aut IRD Abdeljaouad S. auteur aut IRD text bookSection eng text/pdf born digital access Mine tailings, left after the mine activities without any control, are charged of heavy metals and contaminating minerals, qualified as risks minerals. In this study, we explore the potential of hyperspectral field spectroscopy in predicting the abundance of risk minerals in agricultural soils around the Hammam Zriba mine site in Northern Tunisia. Sixty-nine samples were gathered from the top surface of soils and dikes (tailing deposits) and measured using the ASD Field Spec HiRes operated in VNIR/SWIR regions (350-2500 nm). All samples were analyzed by X-ray diffraction method XRD for the estimation of both several minerals, including Barite and Fluorite contents. The partial least squares regression (PLSR) was used to relate the measured VNIR/SWIR spectra to XRD analysis results for the prediction of risk mineral contents. The prediction performances of Fluorite and Barite contents were evaluated using particularly, the coefficient of determination R2 and the ratio of performance to deviation RPD. Results have shown an accurate prediction of both risk minerals using VNIR/SWIR hyperspectral field spectroscopy. specialized TUNISIE 068 1861-1864 New York IEEE 2020 IEEE International Geoscience and Remote Sensing Symposium, En ligne, 2020/09/26-10/02 https://www.documentation.ird.fr/hor/fdi:010081919 10.1109/IGARSS39084.2020.9323983 978-1-7281-6374-1 [F B010081919] https://www.documentation.ird.fr/hor/fdi:010081919 https://www.documentation.ird.fr/intranet/publi/2022-02/010081919.pdf Accès réservé (Intranet de l'IRD) IRD - Base Horizon / Pleins textes 2021-05-28 2025-02-24 fdi:010081919 fre