Mapping surface mineralogy using imaging spectrometry

Kruse, Fred A.

doi:10.1016/j.geomorph.2010.09.032

Cited by 93 publications

(55 citation statements)

References 58 publications

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“…A standardized analysis approach was used on each dataset to extract a few diagnostic image spectra and map their spatial locations [24]. This consists of reduction of the spectral dimensions using the Minimum Noise Fraction (MNF) Transformation [25,26], spatial reduction using the Pixel Purity Index (PPI) [27], and n-Dimensional scatterplotting to extract "endmembers" [28].…”

Section: Approach and Methodsmentioning

confidence: 99%

“…AVIRIS data acquired 22 July 1995 at approximately 15 m spatial resolution were atmospherically corrected to reflectance, spectrally resampled to HyspIRI spectral resolution, geocorrected to orthorectified ASTER data, and spatially resampled to 60 m resolution as previously described. Endmember spectra were extracted from the Steamboat Springs, NV HyspIRI-simulated imaging spectrometer data at 15 m spatial resolution, again using the MNF, PPI, n-D Visualizer approach described above [24]. Extracted 15 m mineral spectra were compared with the USGS spectral library for identification of minerals.…”

Section: Steamboat Nv Site (Active Geothermal System)mentioning

confidence: 99%

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Effect of Reduced Spatial Resolution on Mineral Mapping Using Imaging Spectrometry—Examples Using Hyperspectral Infrared Imager (HyspIRI)-Simulated Data

et al. 2011

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Abstract:The Hyperspectral Infrared Imager (HyspIRI) is a proposed NASA satellite remote sensing system combining a visible to shortwave infrared (VSWIR) imaging spectrometer with over 200 spectral bands between 0.38 and 2.5 μm and an 8-band thermal infrared (TIR) multispectral imager, both at 60 m spatial resolution. Short Wave Infrared (SWIR) (2.0-2.5 μm) simulation results are described here using Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) data in preparation for the future launch. The simulated data were used to assess the effect of the HyspIRI 60 m spatial resolution on the ability to identify and map minerals at hydrothermally altered and geothermal areas. Mineral maps produced using these data successfully detected and mapped a wide variety of characteristic minerals, including jarosite, alunite, kaolinite, dickite, muscovite-illite, montmorillonite, pyrophyllite, calcite, buddingtonite, and hydrothermal silica. Confusion matrix analysis of the datasets showed overall classification accuracy ranging from 70 to 92% for the 60 m HyspIRI simulated data relative to 15 m spatial resolution data. Classification accuracy was lower for similar minerals and smaller areas, which were not OPEN ACCESSRemote Sens. 2011, 3 1585 mapped well by the simulated 60 m HyspIRI data due to blending of similar signatures and spectral mixing with adjacent pixels. The simulations demonstrate that HyspIRI SWIR data, while somewhat limited by their relatively coarse spatial resolution, should still be useful for mapping hydrothermal/geothermal systems, and for many other geologic applications requiring mineral mapping.

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Section: Approach and Methodsmentioning

confidence: 99%

Section: Steamboat Nv Site (Active Geothermal System)mentioning

confidence: 99%

Effect of Reduced Spatial Resolution on Mineral Mapping Using Imaging Spectrometry—Examples Using Hyperspectral Infrared Imager (HyspIRI)-Simulated Data

et al. 2011

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“…The visible/shortwave infrared (VSWIR) imaging spectrometers serve diverse applications including mineralogical mapping (Kruse, 2012), characterization of coastal and terrestrial ecosystems (Ustin et al, 2004), and atmospheric studies (Popp et al, 2012). Imaging spectrometers are valuable for tactical operations because they can map and localize targets over wide areas, providing reconnaissance for other instruments along with spatial and spectral context.…”

Section: Tactical Imaging Spectroscopymentioning

confidence: 99%

Real-time remote detection and measurement for airborne imaging spectroscopy: a case study with methane

et al. 2015

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Abstract. Localized anthropogenic sources of atmospheric CH 4 are highly uncertain and temporally variable. Airborne remote measurement is an effective method to detect and quantify these emissions. In a campaign context, the science yield can be dramatically increased by real-time retrievals that allow operators to coordinate multiple measurements of the most active areas. This can improve science outcomes for both single-and multiple-platform missions. We describe a case study of the NASA/ESA CO 2 and MEthane eXperiment (COMEX) campaign in California during June and August/September 2014. COMEX was a multi-platform campaign to measure CH 4 plumes released from anthropogenic sources including oil and gas infrastructure. We discuss principles for real-time spectral signature detection and measurement, and report performance on the NASA Next Generation Airborne Visible Infrared Spectrometer (AVIRIS-NG). AVIRIS-NG successfully detected CH 4 plumes in realtime at Gb s −1 data rates, characterizing fugitive releases in concert with other in situ and remote instruments. The teams used these real-time CH 4 detections to coordinate measurements across multiple platforms, including airborne in situ, airborne non-imaging remote sensing, and groundbased in situ instruments. To our knowledge this is the first reported use of real-time trace-gas signature detection in an airborne science campaign, and presages many future applications. Post-analysis demonstrates matched filter methods providing noise-equivalent (1σ ) detection sensitivity for 1.0 % CH4 column enhancements equal to 141 ppm m.

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“…The former may have resulted from salt weathering, for the salt contents of the rocks in the niches were significantly higher A C C E P T E D M A N U S C R I P T than those outside, while the latter was associated with case hardening and the presence of biofilms (Viles and Goudie, 2004). Mol and Viles (2010;2012) and Mol (2014) studied large cavernous weathering features in the Golden Gate National Park, South Africa, using moisture determinations (ERT and Protimeter) and hardness measurements (employing the Equotip). This research showed that there is a significant correlation between subsurface moisture accumulations and rock surface weakening as well as increased variability within Equotip measurements.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Quantification of rock control in geomorphology

Goudie

2016

Earth-Science Reviews

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Mapping surface mineralogy using imaging spectrometry

Cited by 93 publications

References 58 publications

Effect of Reduced Spatial Resolution on Mineral Mapping Using Imaging Spectrometry—Examples Using Hyperspectral Infrared Imager (HyspIRI)-Simulated Data

Effect of Reduced Spatial Resolution on Mineral Mapping Using Imaging Spectrometry—Examples Using Hyperspectral Infrared Imager (HyspIRI)-Simulated Data

Real-time remote detection and measurement for airborne imaging spectroscopy: a case study with methane

Quantification of rock control in geomorphology

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