Applications of hyperspectral mineralogy for geoenvironmental characterisation

Fox, N; Parbhakar-Fox, Anita; Moltzen, Jake; Feig, Sandrin T.; Goemann, Karsten; Huntington, J.F.

doi:10.1016/j.mineng.2016.11.008

Cited by 42 publications

(24 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Sensor optimization and calibration were set with a Spectralon® white reference scanned once before each sample, and each spectrum is the result of the average of 10 scans. Spectra were collected with RS3 software (ASD Inc.), analysed with ViewSpecPro software (ASD Inc.), and compared with those found in the bibliography …”

Section: Methodsmentioning

confidence: 96%

Study of a terrestrial Martian analogue: Geochemical characterization of the Meñakoz outcrops (Biscay, Spain)

Ruíz-Galende

Torre‐Fdez

Aramendia

et al. 2019

J Raman Spectroscopy

View full text Add to dashboard Cite

The necessity to create databases for the proper interpretation of the results obtained by the rovers that will be sent by ESA to Mars implies the study of terrestrial Martian analogues. In this work, the Meñakoz outcrops, which are basaltic volcanic rocks interbedded with Turonian sediments coming from a Cretaceous submarine volcano outcrop located in Biscay (northern Spain), have been studied and proposed as a Martian analogue. Considering that Raman and near infrared spectroscopies are two of the techniques that will go on‐board the rovers in the next planetary missions, they were used to characterize the samples collected in Meñakoz. As was expected, silicates (phyllosilicates) were the major minerals detected by those techniques in the Meñakoz samples, but also, compounds such as sulfates and oxides could be detected. Phyllosilicates are very important because they are some of the compounds that have been reported to be present on the Mars surface in previous missions and specifically in Oxia Planum, the landing site for the ExoMars 2020 rover of the ESA missions to Mars. This fact provides reasons to propose the emplacement of Meñakoz as Martian analogue.

show abstract

Section: Methodsmentioning

confidence: 96%

Study of a terrestrial Martian analogue: Geochemical characterization of the Meñakoz outcrops (Biscay, Spain)

Ruíz-Galende

Torre‐Fdez

Aramendia

et al. 2019

J Raman Spectroscopy

View full text Add to dashboard Cite

show abstract

“…Histosols can be clearly differentiated from other soil Orders; they have the smallest reflectance and a concave shape in the visible region because of contents of SOC (Ben‐Dor, ). Aridosols and Halosols have similar spectral shapes with overall large reflectance values, and the absorption features of carbonates can be observed around 2336 nm (Fox et al ., ). The average spectral reflectance of Isohumosols is smaller than that of Cambosols in the visible region, because Isohumosols must have a mollic epipedon, characterized by large SOM contents (Ben‐Dor, ).…”

Section: Resultsmentioning

confidence: 97%

How compatible are numerical classifications based on whole‐profile vis–NIR spectra and the Chinese Soil Taxonomy?

Zeng

Rossiter

Zhang

2019

European J Soil Science

View full text Add to dashboard Cite

Summary Modern monothetic hierarchical soil classification systems such as the Chinese Soil Taxonomy (CST) are semi‐quantitative and their future development is likely to trend towards a fully quantitative system using the concepts of numerical taxonomy. Previous researchers have calculated the taxonomic distances between individual soils based on soil physiochemical properties, not, however, based on spectra of full soil profiles with different horizons. We hypothesized that numerical taxonomy implemented by cluster analysis of the taxonomic distance matrix based on vis–NIR spectra would accord with some CST Orders assigned by pedologists, and not with others, depending on how closely spectral features represent the diagnostic features used in the classification. Taxonomic distances in spectral space were computed for all pairs of 191 profiles, resulting in a distance matrix on which hierarchical cluster analysis was performed. Different indices were calculated to determine the optimum number of clusters, resulting in four spectral soil classes. These were then compared with CST Orders assigned to the profiles by expert allocation. The numerical classes and CST Orders matched poorly because of the completely different classification philosophies behind numerical taxonomy and the CST, which is based largely on presumed genesis and uses sharp thresholds leading to very similar soils being allocated to different classes. Thus, we consider the numerical classification as information that is complementary to the monothetic hierarchical system. Numerical classification can reveal the taxonomic objective aspects of the relation between the defined classes and can suggest new groupings. Highlights Taxonomic distances can serve as an objective measure of soil similarity. Soil spectra are a good candidate for numerical classification based on taxonomic distances. The conceptual basis of Chinese Soil Taxonomy (CST) does not match that of taxonomic distance. Numerical classification based on spectra can suggest revisions to the CST.

show abstract

“…HyLogging has several advantages over other mineral identification techniques through its rapidity (up to 1000 m of core per day), its low cost per sample, and its non-destructive approach. Based on this, the potential application of HyLogger data is suited to geoenvironmental domaining at exploration/pre-feasibility stages of operations [18].…”

Section: Hyperspectral Mineralogymentioning

confidence: 99%

“…Third, utilizing data collected by other mine-site disciplines can cost-effectively assist in geoenvironmental pre-screening. For example, hyperspectral data using short-wave infrared data can be used to characterise drill core and waste materials [14][15][16][17][18][19], assay data can be used to calculate AMD [20,21] and automated mineralogical data can be used for waste characterisation following the methods described in [22][23][24][25]. By adopting a geometallurgical approach to this challenge, whereby proxy tests and methods to extract further information from existing datasets are developed and used as inputs for deposit-scale models, the opportunity is presented to adopt enhanced characterization practices.…”

Section: Introductionmentioning

confidence: 99%

Forecasting Geoenvironmental Risks: Integrated Applications of Mineralogical and Chemical Data

et al. 2018

View full text Add to dashboard Cite

Management of solid mine wastes requires detailed material characterisation at the start of a project to minimize opportunities for the generation of acid and metalliferous drainage (AMD). Mine planning must focus on obtaining a thorough understanding of the environmental properties of the future waste rock materials. Using drill core obtained from a porphyry Cu project in Northern Europe, this study demonstrates the integrated application of mineralogical and geochemical data to enable the construction of enviro-geometallurgical models. Geoenvironmental core logging, static chemical testing, bulk- and hyperspectral mineralogical techniques, and calculated mineralogy from assay techniques were used to critically evaluate the potential for AMD formation. These techniques provide value-adding opportunities to existing datasets and provide robust cross-validation methods for each technique. A new geoenvironmental logging code and a new geoenvironmental index using hyperspectral mineralogical data (Hy-GI) were developed and embedded into the geochemistry-mineralogy-texture-geometallurgy (GMTG) approach for waste characterisation. This approach is recommended for new mining projects (i.e., early life-of-mine stages) to ensure accurate geoenvironmental forecasting, therefore facilitating the development of an effective waste management plan that minimizes geoenvironmental risks posed by the mined materials.

show abstract

Applications of hyperspectral mineralogy for geoenvironmental characterisation

Cited by 42 publications

References 30 publications

Study of a terrestrial Martian analogue: Geochemical characterization of the Meñakoz outcrops (Biscay, Spain)

Study of a terrestrial Martian analogue: Geochemical characterization of the Meñakoz outcrops (Biscay, Spain)

How compatible are numerical classifications based on whole‐profile vis–NIR spectra and the Chinese Soil Taxonomy?

Forecasting Geoenvironmental Risks: Integrated Applications of Mineralogical and Chemical Data

Contact Info

Product

Resources

About