Mine tailings characterization using PROBE data (preliminary results)

Shang, M.; Stáenz, K.; Lévesque, Josée; Howarth, Philip J.; Morris, Bill; Lanteigne, Lisa

doi:10.1109/igarss.2002.1026822

Cited by 8 publications

(5 citation statements)

References 3 publications

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“…Other relevant hydroxidebearing minerals include K-and Fe-rich sulphates (possibly including jarosite, a mineral that has not yet been confirmed in Sudbury coatings), which are typically present as thin films ( Figure 5); absorption features such as those near 950-1000, 2210, and 2260 nm correlate with several of the expected features of some forms of jarosite (e.g. Shang et al 2002Shang et al , 2009Bishop and Murad 2005;Cloutis et al 2006). Overall, the Sudbury black coatings have reflectance properties similar to those of magnetite (Figure 7), a confirmed International Journal of Remote Sensing 3941 spinel-group component of these coatings.…”

Section: Reflectance Properties Of Coated Bedrockmentioning

confidence: 94%

A Landsat-based study of black rock coatings proximal to base metal smelters, Sudbury, Ontario, Canada

Malcolm

Leverington

Schindler

2015

International Journal of Remote Sensing

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Past emission of metal-bearing particulate matter, sulphur dioxide (SO 2 ), and sulphuric acid by base metal smelters in the Sudbury region led to widespread loss of vegetation, contamination of soils, and formation of black coatings on rock surfaces. These black coatings formed through the incorporation of smelter-borne particulate matter into the partly dissolved uppermost layers of siliceous minerals on exposed rock, and are characterized by high heavy-metal content. This study involved assessment of the reflectance properties of black coatings in the Sudbury region, and determination of the geographic distribution of coatings through supervised classification of reflectance data derived from a Landsat Enhanced Thematic Mapper Plus (ETM+) image. Classifications involved the use of the Spectral Angle Mapper (SAM), Maximum Likelihood, and Feedforward Backpropagation Neural Network algorithms. The reflectance spectra of black coatings in the Sudbury region are relatively flat and featureless, and are characterized by reflectance values less than~13% across the visible, nearinfrared, and short-wave infrared. Spectral properties are similar to those of magnetite, a spinel-group mineral known to be present in Sudbury coatings. The presence of carbon-rich soot particles may be an important influence on the reflectance properties of coatings. SAM classification results are characterized by the widespread mislabelling of uncoated urban and open-pit sites as mantled by black coatings, and neural network results problematically mislabel some uncoated wetland sites as coated. Results generated by the Maximum Likelihood algorithm most usefully depict the distribution of exposed black coatings in the Sudbury region. The mapping of black coatings using remote-sensing methods can provide useful information on the spatial character of environmental degradation in the vicinity of smelters, and should be helpful in the monitoring of environmental recovery where emissions have been reduced or eliminated.

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Section: Reflectance Properties Of Coated Bedrockmentioning

confidence: 94%

A Landsat-based study of black rock coatings proximal to base metal smelters, Sudbury, Ontario, Canada

Malcolm

Leverington

Schindler

2015

International Journal of Remote Sensing

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“…As iron oxides are often the dominant pigments in rocks, red and yellow rocks usually indicate that their iron has been leached, oxidized, and deposited as fine-grained pigments and films coating mineral surfaces. Rapid oxidation of pyrite, pyrrhotite or other ferrous iron bearing sulfide minerals causes sedimentary materials which contain them to generate ferrihydrite, goethite, or hematite by-products as a characteristic feature of acid rock drainage generated from exposed sulfide minerals or mine tailings (Shang et al, 2009). As a byproduct of the oxidizing sulfuric acid generated from acid rock drainage, weathering and removal of ferrous iron from primary magnetite and ferromagnesian silicate minerals is enhanced so magnetite content is diminished by these acid leaching and oxidation processes as well.…”

Section: Sedimentary Rocks and Processesmentioning

confidence: 99%

The Henkel Petrophysical Plot: Mineralogy and Lithology from Physical Properties

Enkin

Hamilton

Morris

2019

Preprint

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The Henkel plot (logarithm of magnetic susceptibility versus density of rock samples) helps integrate geological and geophysical analysis.• We present a quantitative mineralogical mixing model involving 3 components Quartz-Feldspar-Calcite, Ferromagnesian silicates and Magnetite.• Major geological processes leading to petrophysical properties on different regions of the Henkel plot are easily explained.

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“…Moreover, the minerals spectral library could be well used to replace the field measurements as well as derived spectra from image itself. These spectra are needed in the classification process of hyperspectral data (Shang et al 2002). In this paper, a methodology aiming to overcome these limitations is proposed.…”

Section: Introductionmentioning

confidence: 99%

“…Given a set of mixed spectral (multispectral or hyperspectral) pixels, linear unmixing, aims to estimate the spectral reflectance of end-members and their abundance fractions (Hu et al 1999;Petrou and Foschi 1999;Keshava and Mustard 2002). In literature, many ways to estimate the spectral reflectance for the component end-member in mixture problem have been proposed, such as pure pixels (Berman et al 2004), field measurements (Wang et al 2003), and spectral library (Shang et al 2002). The use of pure pixels (covered by a single-component end-member) extracted directly from the image data, is generally not possible in the case of low spatial resolution or very heterogeneous areas.…”

Section: Introductionmentioning

confidence: 99%

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Spectral modeling based on ground measurements for mine tailing mapping with Landsat ETM+ imagery

2011

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In the north of Tunisia, mine tailings cause multiple environmental consequences in the Mejerda watershed. In this paper, we are interested in mine tailing mapping around the Jebel (Hill) HalloufBouaouane mine. Several ways to estimate the spectral reflectance for end-members in a mixture problem have been proposed in the literature such as pure pixels, spectral library, and field measurements. One of the most common approaches consists in the use of spectral library. This approach presents the advantage of using pure end-members and replacing field measurements. However, it is generally not possible in the case of low spectral resolution image data, due to the large spectral range covered by mineral reflectances. In this paper, a methodology aiming to overcome this limitation is proposed. The proposed approach makes use of the spectral linear mixing model. In the proposed methodology, the spectral component of tailing end-member is estimated using a fusion of available mineral spectra. This spectral modeling approach is based on laboratory analysis as well as on the use of spectral library data.comparison of resulting tailing maps using both modeled and Landsat ETM+-derived end-members. The best results were obtained with the JPL spectral library data.

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Mine tailings characterization using PROBE data (preliminary results)

Cited by 8 publications

References 3 publications

A Landsat-based study of black rock coatings proximal to base metal smelters, Sudbury, Ontario, Canada

A Landsat-based study of black rock coatings proximal to base metal smelters, Sudbury, Ontario, Canada

The Henkel Petrophysical Plot: Mineralogy and Lithology from Physical Properties

Spectral modeling based on ground measurements for mine tailing mapping with Landsat ETM+ imagery

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