{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T03:56:19Z","timestamp":1760241379967,"version":"build-2065373602"},"reference-count":35,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2018,1,19]],"date-time":"2018-01-19T00:00:00Z","timestamp":1516320000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The identification and mapping of the mineral composition of by-products and residues on industrial sites is a topic of growing interest because it may provide information on plant-processing activities and their impact on the surrounding environment. Imaging spectroscopy can provide such information based on the spectral signatures of soil mineral markers. In this study, we use the automatized Gaussian model (AGM), an automated, physically based method relying on spectral deconvolution. Originally developed for the short-wavelength infrared (SWIR) range, it has been extended to include information from the visible and near-infrared (VNIR) range to take iron oxides\/hydroxides into account. We present the results of its application to two French industrial sites: (i) the Alt\u00e9o Environnement site in Gardanne, southern France, dedicated to the extraction of alumina from bauxite; and (ii) the Millennium Inorganic Chemicals site in Thann, eastern France, which produces titanium dioxide from ilmenite and rutile, and its associated S\u00e9ch\u00e9 \u00c9co Services site used to neutralize the resulting effluents, producing gypsum. HySpex hyperspectral images were acquired over Gardanne in September 2013 and an APEX image was acquired over Thann in June 2013. In both cases, reflectance spectra were measured and samples were collected in the field and analyzed for mineralogical and chemical composition. When applying the AGM to the images, both in the VNIR and SWIR ranges, we successfully identified and mapped minerals of interest characteristic of each site: bauxite, Bauxaline\u00ae and alumina for Gardanne; and red and white gypsum and calcite for Thann. Identifications and maps were consistent with in situ measurements.<\/jats:p>","DOI":"10.3390\/rs10010146","type":"journal-article","created":{"date-parts":[[2018,1,22]],"date-time":"2018-01-22T04:51:13Z","timestamp":1516596673000},"page":"146","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Mineral Mapping Using the Automatized Gaussian Model (AGM)\u2014Application to Two Industrial French Sites at Gardanne and Thann"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5585-4335","authenticated-orcid":false,"given":"Rodolphe","family":"Marion","sequence":"first","affiliation":[{"name":"Commissariat \u00e0 l\u2019Energie Atomique et aux \u00e9nergies alternatives, CEA\/DAM\/DIF, F-91297 Arpajon, France"}]},{"given":"V\u00e9ronique","family":"Carr\u00e8re","sequence":"additional","affiliation":[{"name":"UMR-CNRS 6112\u2014LPG Nantes, Universit\u00e9 de Nantes, 2 rue de la Houssini\u00e8re, BP 92208, 44322 Nantes CEDEX 3, France"}]}],"member":"1968","published-online":{"date-parts":[[2018,1,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1021\/es990046w","article-title":"Using Imaging Spectroscopy to Map Acidic Mine Waste","volume":"34","author":"Swayze","year":"2000","journal-title":"Environ. Sci. Technol."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"422","DOI":"10.1016\/S0034-4257(02)00132-3","article-title":"Mapping mine wastes and analyzing areas affected by selenium-rich water runoff in southeast Idaho using AVIRIS imagery and digital elevation data","volume":"84","author":"Mars","year":"2003","journal-title":"Remote Sens. Environ."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Rockwell, B.W., McDougal, R.R., and Gent, C.A. (2005). Remote Sensing for Environmental Site Screening and Watershed Evaluation in Utah Mine Lands\u2014East Tintic Mountains, Oquirrh Mountains, and Tushar Mountains, USGS. U.S. Geological Survey Scientific Investigations Report 2004-5241.","DOI":"10.3133\/sir20045241"},{"key":"ref_4","first-page":"152","article-title":"Using airborne hyperspectral data to characterize the surface pH and mineralogy of pyrite mine tailings","volume":"32","author":"Zabcic","year":"2014","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_5","first-page":"69","article-title":"A review on spectral processing methods for geological remote sensing","volume":"47","author":"Asadzadeh","year":"2016","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"5.1","DOI":"10.1029\/2002JE001847","article-title":"Imaging spectroscopy: Earth and planetary remote sensing with the USGS Tetracorder and expert systems","volume":"108","author":"Clark","year":"2003","journal-title":"J. Geophys. Res. Planets"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"6955","DOI":"10.1029\/JB095iB05p06955","article-title":"Deconvolution of Mineral Absorption Bands: An Improved Approach","volume":"95","author":"Sunshine","year":"1990","journal-title":"J. Geophys. Res. Planets"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"9075","DOI":"10.1029\/93JE00677","article-title":"Estimating modal abundances from the spectra of natural and laboratory pyroxene mixtures using the modified gaussian model","volume":"98","author":"Sunshine","year":"1993","journal-title":"J. Geophys. Res. Planets"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1601","DOI":"10.1109\/TGRS.2006.870435","article-title":"Spectral Curve Fitting for Automatic Hyperspectral Data Analysis","volume":"44","author":"Brown","year":"2006","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"4089","DOI":"10.1080\/01431160801891895","article-title":"Technical note: equivalence of modified gaussian model (mgm) in wavenumber and gaussian in wavelength for deconvolution of hyperspectral reflectance spectra","volume":"29","author":"Gallie","year":"2008","journal-title":"Int. J. Remote Sens."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Makarewicz, H.D., Parente, M., and Bishop, J.L. (2009, January 26\u201328). Deconvolution of VNIR Spectra Using Modified Gaussian Modeling (MGM) with Automatic Parameter Initialization (API) Applied to CRISM. Proceedings of the Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Grenoble, France.","DOI":"10.1109\/WHISPERS.2009.5289046"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"378","DOI":"10.1346\/CCMN.2011.0590403","article-title":"Reflectance Spectroscopy of Beidellites and Their Importance for Mars","volume":"59","author":"Bishop","year":"2011","journal-title":"Clays Clay Miner."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"781","DOI":"10.1016\/j.icarus.2009.01.022","article-title":"Exponential Gaussian Approach for Spectral Modeling: The Ego Algorithm I. Band Saturation","volume":"201","author":"Pompilio","year":"2009","journal-title":"Icarus"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"811","DOI":"10.1016\/j.icarus.2010.03.020","article-title":"Exponential Gaussian Approach for Spectral Modelling: The EGO Algorithm II. Band Asymmetry","volume":"208","author":"Pompilio","year":"2010","journal-title":"Icarus"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"6329","DOI":"10.1029\/JB089iB07p06329","article-title":"Reflectance spectroscopy: Quantitative analysis techniques for remote sensing applications","volume":"89","author":"Clark","year":"1984","journal-title":"J. Geophys. Res. Solid Earth"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"404","DOI":"10.1016\/j.icarus.2011.03.002","article-title":"A New Systematic Approach Using the Modified Gaussian Model: Insight for the Characterization of Chemical Composition of Olivines, Pyroxenes and Olivine\u2013Pyroxene Mixtures","volume":"213","author":"Pinet","year":"2011","journal-title":"Icarus"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"535","DOI":"10.1016\/j.rse.2003.11.009","article-title":"Predicting Water Content Using Gaussian Model on Soil Spectra","volume":"89","author":"Whiting","year":"2004","journal-title":"Remote Sens. Environ."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1037","DOI":"10.4319\/lom.2012.10.1037","article-title":"Automated Mapping of Water Bodies Using Landsat Multispectral Data","volume":"10","author":"Verpoorter","year":"2012","journal-title":"Limnol. Oceanogr. Methods"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"2098","DOI":"10.1002\/2013JF002969","article-title":"Visible, near-infrared spectrometry for simultaneous assessment of geophysical sediment properties (water and grain size) using the spectral derivative-modified gaussian model","volume":"119","author":"Verpoorter","year":"2014","journal-title":"J. Geophys. Res. Earth Surf."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"581","DOI":"10.1080\/2150704X.2016.1168946","article-title":"Deconvolution of SWIR reflectance spectra for automatic mineral identification in hyperspectral imaging","volume":"7","author":"Brossard","year":"2016","journal-title":"Remote Sens. Lett."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1016\/S0927-7757(98)00798-5","article-title":"The surface chemistry of Bayer process solids: A review","volume":"146","author":"Hind","year":"1999","journal-title":"Colloids Surf. A Physicochem. Eng. Asp."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1007\/s11837-998-0286-6","article-title":"Determining Silica Solubility in Bayer Process Liquor. (Research Summary)","volume":"50","author":"Jamialahmadi","year":"1998","journal-title":"J. Miner. Met. Mater. Soc."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1016\/S0927-7757(00)00814-1","article-title":"Surface properties of red mud particles from potentiometric titration","volume":"182","author":"Chevdov","year":"2001","journal-title":"Colloids Surf."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1007\/s10853-008-3123-y","article-title":"Characterisation of bauxite and seawater neutralised bauxite residue using XRD and vibrational spectroscopic techniques","volume":"44","author":"Palmer","year":"2008","journal-title":"J. Mater. Sci."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1608","DOI":"10.1021\/es104005r","article-title":"The Red Mud Accident in Ajka (Hungary): Characterization and Potential Health Effects of Fugitive Dust","volume":"45","author":"Gelencser","year":"2011","journal-title":"Environ. Sci. Technol."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1016\/0048-9697(95)04846-4","article-title":"Factors controlling the vertical and spatial transport of metal-rich particulate matter in seawater at the outfall of bauxitic red mud toxic waste","volume":"175","author":"Varnavas","year":"1995","journal-title":"Sci. Total Environ."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"465","DOI":"10.1177\/0734242X0101900512","article-title":"Red mud of aluminium production waste as basic component of new construction materials","volume":"19","author":"Mymrin","year":"2001","journal-title":"Waste Manag. Res."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/j.rse.2012.03.017","article-title":"Using imaging spectroscopy to map red mud dust waste: The Podgorica Aluminum Complex case study","volume":"123","author":"Pascucci","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_29","unstructured":"Richter, R., and Schl\u00e4pfer, D. (2016). ATCOR-4 User Guide, ReSe Applications. Version 7.0.3."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"111719-1","DOI":"10.1117\/1.OE.51.11.111719","article-title":"Quick Atmospheric Correction Code: Algorithm Description and Recent Upgrades","volume":"51","author":"Bernstein","year":"2012","journal-title":"Opt. Eng."},{"key":"ref_31","unstructured":"Chabrillat, S., Eisele, A., Guillaso, S., Roga\u00df, C., Ben-Dor, E., and Kaufmann, H. (2011, January 11\u201313). HYSOMA: An easy-to-use software interface for soil mapping applications of hyperspectral imagery. Proceedings of the EARSeL 7th SIG\u2014Imaging Spectroscopy Workshop, Edinburgh, UK."},{"key":"ref_32","first-page":"105","article-title":"The Levenberg-Marquardt algorithm: implementation and theory","volume":"Volume 630","year":"1978","journal-title":"Numerical Analysis"},{"key":"ref_33","unstructured":"Pontual, S., Merry, N., and Gamson, P. (2010). GMEX: Guides for Mineral Exploration: Spectral Interpretation Field Manual, AusSpec."},{"key":"ref_34","unstructured":"Alteo (2018, January 18). Products and Production. Available online: https:\/\/www.alteo-alumina.com\/en\/our-production-processes#Digestion%20of%20Bauxite."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"3463","DOI":"10.1088\/0957-0233\/18\/11\/029","article-title":"Comparison of two NIR systems for quantifying kaolinite in weipa bauxites","volume":"18","author":"McArthur","year":"2007","journal-title":"Meas. Sci. Technol."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/1\/146\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T14:51:55Z","timestamp":1760194315000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/1\/146"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,1,19]]},"references-count":35,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2018,1]]}},"alternative-id":["rs10010146"],"URL":"https:\/\/doi.org\/10.3390\/rs10010146","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2018,1,19]]}}}