[en] Mining is fundamental for human development, yet it currently requires innovative spatial techniques as it faces diverse environmental and social pressures. With the free Sentinel-2 data of the Copernicus programme, new opportunities arise for studies related to nickel laterite, especially with its reported potential in mapping iron- oxide. This work utilizes samples from drill-holes extracted from Tiebaghi, New Caledonia. The chemical composition and the hyperspectral reflectance of each sample are obtained. The reflectance spectra are re- sampled to Sentinel-2's characteristics, and generalized linear regression was used to accurately predict Fe2O3, MgO, SiO2, Al2O3, and nickel content where three regression approaches were compared: Ridge, Elastic Net, and the Least Absolute Shrinkage and Selection Operator (LASSO). With the resulting regression models, mineral chemistry of an outcrop in the vicinity of the drill-holes is mapped by a scene of Sentinel-2. The work shows the great potential of free satellite imagery in mapping chemical characteristics of minerals and rocks. It opens up great opportunities for monitoring outcrops and for achieving more efficient mineral exploration.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Ibrahim, Elsy ; Université de Liège - ULiège > Département ArGEnCo > Géoressources minérales & Imagerie géologique
Barnabé, Pierre ; Université de Liège - ULiège > Département ArGEnCo > Géoressources minérales & Imagerie géologique
Ramanaidou, Erick
Pirard, Eric ; Université de Liège - ULiège > Département ArGEnCo > Géoressources minérales & Imagerie géologique
Language :
English
Title :
Mapping mineral chemistry of a lateritic outcrop in new Caledonia through generalized regression using Sentinel-2 and field reflectance spectra
Publication date :
2018
Journal title :
International Journal of Applied Earth Observation and Geoinformation
ISSN :
1569-8432
eISSN :
1872-826X
Publisher :
International Institute for Aerial Survey and Earth Sciences, Netherlands
Volume :
73
Pages :
653-665
Peer reviewed :
Peer Reviewed verified by ORBi
Name of the research project :
MINeoDUST-RawMatCop
Funders :
European commission - DG Grow EIT Rawmaterials CNRT
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