Incorporation of Portable Infrared Spectral Imaging into Planetary Geological Field Work: Analog Studies at Kilauea Volcano, Hawaii, and Potrillo Volcanic Field, New Mexico Gen Ito 1 ([email protected]), A. Deanne Rogers 1 , Kelsey E. Young 2 , Jacob E. Bleacher 3 , Christopher S. Edwards 4 , John Hinrichs 5 , Casey I. Honniball 6 , Paul G. Lucey 5,6 , Daniel Piquero 5 , Byron Wolfe 5 , and Timothy D. Glotch 1 1 Stony Brook University, 2 NASA Johnson Space Center, 3 NASA Goddard Space Flight Center, 4 Northern Arizona University, 5 Spectrum Photonics, Inc., 6 Hawaii Institute of Geophysics and Planetology, University of Hawaii at Manoa During geological work for future planetary missions, portable/hand-held infrared spectral imaging instruments have the potential to significantly benefit science objectives. We assess how ground-based infrared spectral imaging can be incorporated into geological field work in a planetary setting through a series of field campaigns at two analog sites (Fig. 1). Introduction Thermal infrared emission spectroscopy is conducted in the 8 – 13 μm range. Hyperspectral scanning and multispectral frame imagers are used (Fig. 2). Methods Fig. 1. Kilauea Volcano, Hawaii (upper left) and Potrillo Volcanic Field (right). Locations of infrared spectral imaging are indicated in red. Infrared spectral imaging can capture valuable geological information unattainable by other methods. Ground based imaging provides a critical link in scale between orbital measurements and individual sampling sites. Infrared spectral imaging may benefit future planetary surface missions. Conclusions Infrared spectral imaging was able to: 1. document bulk compositional variability within scenes (Fig. 3). 2. detect visually subtle and/or concealed variability in (sub)units (Fig. 3). 3. characterize remote and/or inaccessible outcrops (Fig. 4). Results Fig. 3. Scene 1 at Kilauea in visible light (top) and in false color infrared (middle) derived from thermal emissivity spectra. The false color image is from the hyperspectral imager and has been decorrelation stretched where blue, green, and red were assigned to the wavelengths 8.5, 9.1, and 11.3 μm, respectively. Shadows, vertical rock faces and vegetation appear yellow-green. A section of the lag sand/gravel unit that corresponds to the white boxes is zoomed-in (bottom). The dashed line indicates an approximate division that highlights the variability within the lag sand/gravel unit. Fig. 4. (a) Outcrop at Potrillo Scene 5. An image subset is shown in visible (b) and in false color infrared (c) derived from radiance spectra. The false color image was acquired using the hyperspectral imager and has been decorrelation stretched where blue, green, and red were assigned to the wavelengths 8.5, 9.1, and 11.3 μm, respectively. Vegetation appears green. (d) Modeled emissivity spectra and mineral/rock abundances from regions of interest shown in (b and c). Poor model fit for region 5 is likely due to either fine-grained particle sizes and/or a missing end-member from the spectral library used for fitting. Note spectral feature at 11.35 μm is stronger in this spectrum compared to the others; this feature is consistent with calcium carbonate. Learn more about this work! Find this image at LPSC STEAM Your Science, 2 nd floor in front of Montgomery Room (also online) Ito, G. et al., Earth and Space Science, in review. Young, K. E. et al., Earth and Space Science, in review. Fig. 2. Portable spectral imaging instruments. Multispectral Hyperspectral Abstract #1290

Incorporation of Portable Infrared Spectral Imaging into ... · Kilauea Volcano, Hawaii (upper left) and Potrillo Volcanic Field (right). Locations of infrared spectral imaging are

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Page 1: Incorporation of Portable Infrared Spectral Imaging into ... · Kilauea Volcano, Hawaii (upper left) and Potrillo Volcanic Field (right). Locations of infrared spectral imaging are

John Hinrichs5, Casey I. Honniball6, Paul G. Lucey5,6, Daniel Piquero5, Byron Wolfe5, and Timothy D. Glotch1

1Stony Brook University, 2NASA Johnson Space Center, 3NASA Goddard Space Flight Center, 4Northern Arizona University, 5Spectrum Photonics, Inc., 6Hawaii Institute of Geophysics and Planetology, University of Hawaii at Manoa

During geological work for future planetary missions, portable/hand-held infrared spectral imaging instruments have the potential to significantly benefit science objectives.

We assess how ground-based infrared spectral imaging can be incorporated into geological field work in a planetary setting through a series of field campaigns at two analog sites (Fig. 1).

Introduction

Thermal infrared emission spectroscopy is conducted in the 8 – 13 μm range.

Hyperspectral scanning and multispectral frame imagers are used (Fig. 2).

Methods

Fig. 1. Kilauea Volcano, Hawaii (upper left) and Potrillo Volcanic Field (right). Locations of infrared spectral imaging are indicated in red.

Infrared spectral imaging can capture valuable geological information unattainable by other methods.

Ground based imaging provides a critical link in scale between orbital measurements and individual sampling sites.

Infrared spectral imaging may benefit future planetary surface missions.

Conclusions

Infrared spectral imaging was able to: 1. document bulk compositional variability within

scenes (Fig. 3). 2. detect visually subtle and/or concealed

variability in (sub)units (Fig. 3). 3. characterize remote and/or inaccessible

outcrops (Fig. 4).

Results

Fig. 3. Scene 1 at Kilauea in visible light (top) and in false color infrared (middle) derived from thermal emissivity spectra. The false color image is from the hyperspectral imager and has been decorrelation stretched where blue, green, and red were assigned to the wavelengths 8.5, 9.1, and 11.3 μm, respectively. Shadows, vertical rock faces and vegetation appear yellow-green. A section of the lag sand/gravel unit that corresponds to the white boxes is zoomed-in (bottom). The dashed line indicates an approximate division that highlights the variability within the lag sand/gravel unit.

Fig. 4. (a) Outcrop at Potrillo Scene 5. An image subset is shown in visible (b) and in false color infrared (c) derived from radiance spectra. The false color image was acquired using the hyperspectral imager and has been decorrelation stretched where blue, green, and red were assigned to the wavelengths 8.5, 9.1, and 11.3 μm, respectively. Vegetation appears green. (d) Modeled emissivity spectra and mineral/rock abundances from regions of interest shown in (b and c). Poor model fit for region 5 is likely due to either fine-grained particle sizes and/or a missing end-member from the spectral library used for fitting. Note spectral feature at 11.35 μm is stronger in this spectrum compared to the others; this feature is consistent with calcium carbonate.

Learn more about this work!Find this image at LPSC STEAM Your Science,2nd floor in front of Montgomery Room (also online)

Ito, G. et al., Earth and Space Science, in review.Young, K. E. et al., Earth and Space Science, in review.

Fig. 2. Portable spectral imaging instruments.Multispectral

Hyperspectral

Abstract #1290