Integrated analysis of high-resolution field and airborne spectroradiometer data for alteration mapping

Marsh, Stuart E.; McKeon, John

doi:10.2113/gsecongeo.78.4.618

Cited by 40 publications

(9 citation statements)

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“…Clark and Roush [1984] describe techniques to correct for scattering effects when estimating the location of absorption features in remote sensing reflectance spectra. These techniques require the use of high spectral resolution data (e.g., 10-nm resolution or better) from such instruments as the 576-channel airborne spectroradiometer developed by Geophysical Environmental Research, Incorporated [Marsh and McKeon, 1983]. Determination of the location of the nearinfrared reflectance minimum from data such as these, subject to the conditions discussed above, may allow estimation of the relative proportions of iron alteration minerals.…”

Section: Application To Mineral Explorationmentioning

confidence: 99%

Discrimination of iron alteration minerals in visible and near‐infrared reflectance data

Townsend¹

1987

J. Geophys. Res.

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Field and laboratory studies were conducted to relate the mineralogy of rock and soil samples containing hematite (α‐Fe2O3), goethite (α‐FeOOH), and jarosite (KFe3(SO4)2(OH)6) to their reflectance properties in visible and near‐infrared wavelengths. Field reflectance measurements of regolith containing one or more of these minerals were made in the Goldfield, Nevada, mining district with a four‐channel radiometer. The mineralogy and reflectance properties of regolith samples collected from these field measurement sites were then determined by laboratory studies. Mossbauer spectroscopy was used to identify the iron minerals present and their relative proportions. The reflectance spectra of samples containing hematite and goethite were characterized by a reflectance minimum near 900 nm. The location of this minimum could be accounted for by the relative proportions of hematite and goethite present in the samples. Under certain conditions it may be feasible to estimate the relative proportions of hematite and goethite on the earth's surface by determining the location of this near‐infrared reflectance minimum in high spectral resolution remote sensing data. In addition, the field measurements suggest that the ratio of band passes at 852 and 982 nm may be used to distinguish qualitatively among hematite, goethite, and jarosite. Thus maps of the distribution of these minerals may be derived from scanner images acquired in those band passes.

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Section: Application To Mineral Explorationmentioning

confidence: 99%

Discrimination of iron alteration minerals in visible and near‐infrared reflectance data

Townsend¹

1987

J. Geophys. Res.

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“…The broad Fe-O charge-transfer absorption feature at wavelengths less than 0.55 μm is associated with goethite [2], which occurs in Basal Group rocks following the oxidation of fine-grained sulphides such as pyrite [71]. The prominent absorption band centered on 2.30 μm, and multiple weak absorption features at 2.25 μm, 2.35 μm and 2.40 μm, are likely due to a combination of OH stretching with the Mg-OH bending mode [1,12]-possibly attributed to the occurrence of chlorite [72]. Two types of pillow lavas-"Pillow lava A" (PLA) and "Pillow lava B" (PLB)-were identified during spectral analysis of the samples (Figure 3a,b).…”

Section: Spectral Signatures Of the Lithological Unitsmentioning

confidence: 99%

The Impact of Vegetation on Lithological Mapping Using Airborne Multispectral Data: A Case Study for the North Troodos Region, Cyprus

et al. 2014

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Vegetation cover can affect the lithological mapping capability of space-and airborne instruments because it obscures the spectral signatures of the underlying geological substrate. Despite being widely accepted as a hindrance, few studies have explicitly demonstrated the impact vegetation can have on remote lithological mapping. Accordingly, this study comprehensively elucidates the impact of vegetation on the lithological mapping capability of airborne multispectral data in the Troodos region, Cyprus. Synthetic spectral mixtures were first used to quantify the potential impact vegetation cover might have on spectral recognition and remote mapping of different rock types. The modeled effects of green grass were apparent in the spectra of low albedo lithologies for 30%-40% fractional cover, compared to just 20% for dry grass cover. Lichen was found to obscure the spectra for 30%-50% cover, depending on the spectral contrast between bare rock and lichen cover. The subsequent impact of vegetation on the remote mapping capability is elucidated by considering the outcomes of three airborne multispectral lithological classifications alongside the spectral mixing analysis and field observations. Vegetation abundance was found to be the primary control on the inability to classify large proportions of pixels in the imagery. Matched Filtering outperformed direct OPEN ACCESSRemote Sens. 2014, 6 10861 spectral matching algorithms owing to its ability to partially unmix pixel spectra with vegetation abundance above the modeled limits. This study highlights that despite the limited spectral sampling and resolution of the sensor and dense, ubiquitous vegetation cover, useful lithological information can be extracted using an appropriate algorithm. Furthermore, the findings of this case study provide a useful insight to the potential capabilities and challenges faced when utilizing comparable sensors (e.g., Landsat 8, Sentinel-2, WorldView-3) to map similar types of terrain.

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“…However, VIS/IR spectra generally penetrate only the upper few tens of micrometers of the surface being measured (Buckingham and Sommer, 1983), unlike XRD, which yields volumetric-based mineral abundances. Using one of earliest portable fi eld spectrometers available, Marsh and McKeon (1983) note that dominance or interference of absorption features between mineral components within intimate mixtures (Clark, 1999) sometimes necessitates further XRD analysis, which can only be done in the laboratory. We likewise solve this problem by measuring XRD on the same powdered samples we measured using VIS/IR spectra, although the results of each analytical method were interpreted independently of one another.…”

Section: Refl Ectance Spectroscopymentioning

confidence: 99%

The origins of Late Quaternary debris avalanche and debris flow deposits from Cofre de Perote volcano, México

et al. 2012

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Integrated analysis of high-resolution field and airborne spectroradiometer data for alteration mapping

Cited by 40 publications

References 0 publications

Discrimination of iron alteration minerals in visible and near‐infrared reflectance data

Discrimination of iron alteration minerals in visible and near‐infrared reflectance data

The Impact of Vegetation on Lithological Mapping Using Airborne Multispectral Data: A Case Study for the North Troodos Region, Cyprus

The origins of Late Quaternary debris avalanche and debris flow deposits from Cofre de Perote volcano, México

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