@article{fdi:010078831,
  title = {{H}yperspectral field spectroscopy and {SENTINEL}-2 {M}ultispectral data for minerals with high pollution potential content estimation and mapping},
  author = {{D}khala, {B}. and {M}ezned, {N}. and {G}omez, {C}{\'e}cile and {A}bdeljaouad, {S}.},
  editor = {},
  language = {{ENG}},
  abstract = {{M}ining in {T}unisia generates a large amount of tailings charged with toxic minerals. {A}s these tailings have a wide spread distribution, it is important to characterize and estimate their impact on soil contamination. {T}his study examines the potential of field hyperspectral spectroscopy and {SENTINEL}-2 {M}ultispectral data in estimating and mapping seven minerals content, including three toxic minerals (fluorite, barite and sphalerite), within soils around {H}ammam {Z}riba mine in {N}orthen {T}unisia. 69 soil and dike surface samples were collected, field {V}isible, {N}ear {I}nfra{R}ed ({VNIR}) and {S}hort-{W}ave {I}nfra{R}ed ({SWIR}) reflectance spectra were measured on these surfaces. {T}he {X}-ray diffraction ({XRD}) method was used to identify the types of mineral and their associated contents on each collected soil samples. {T}he 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. {T}his 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. {T}his work paves the way for large-scale mapping of minerals with high pollution potential using {SENTINEL}-2 data. {I}n 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.},
  keywords = {{TUNISIE}},
  booktitle = {},
  journal = {{S}cience of the {T}otal {E}nvironment},
  volume = {740},
  numero = {},
  pages = {art. 140160 [18 ]},
  ISSN = {0048-9697},
  year = {2020},
  DOI = {10.1016/j.scitotenv.2020.140160},
  URL = {https://www.documentation.ird.fr/hor/fdi:010078831},
}