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11 - Visible and Near-Infrared Reflectance Spectroscopy

Field and Airborne Measurements

from Part II - Terrestrial Field and Airborne Applications

Published online by Cambridge University Press:  15 November 2019

Janice L. Bishop
Affiliation:
SETI Institute, California
James F. Bell III
Affiliation:
Arizona State University
Jeffrey E. Moersch
Affiliation:
University of Tennessee, Knoxville
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Summary

Visible and near-infrared reflectance spectroscopy using reflected sunlight is an ideal tool for remote detection of many compounds. Surfaces can be measured in the field at close range (mm), or from a distance with aircraft or spacecraft. The technology works throughout the Solar System. Advancements have recently been made in sensor calibration and atmospheric correction, enabling faster and more accurate calibration to surface reflectance (or apparent surface reflectance). Parallel to these advancements have been advancements in radiative transfer models, including a better understanding of the scattering effects of submicrometer particles and the ability to model those effects. There has also been progress in spectral analysis, including methods to rapidly analyze imaging spectrometer data to identify and map hundreds of compounds. Finally, with the advancements in computer technology, both in compute speed and in storage, analysis of very large imaging spectrometer data sets is now feasible in a relatively short time. With some additional development, imaging spectroscopy could be used in real time or near real time applications, including exploration of resources to autonomous robots such as spacecraft rovers searching for resources or life on remote planets and satellites.

Type
Chapter
Information
Remote Compositional Analysis
Techniques for Understanding Spectroscopy, Mineralogy, and Geochemistry of Planetary Surfaces
, pp. 261 - 273
Publisher: Cambridge University Press
Print publication year: 2019

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References

Asner, G.P., Knapp, D.E., Kennedy-Bowdoin, T., et al. (2007) Carnegie airborne observatory: In-flight fusion of hyperspectral imaging and waveform light detection and ranging for three-dimensional studies of ecosystems. Journal of Applied Remote Sensing, 1, 013536.CrossRefGoogle Scholar
Baines, K.H., Yanamandra-Fisher, P.A., Lebofsky, L.A., et al. (1998) Near-infrared absolute photometric imaging of the uranian system. Icarus, 132, 266284.CrossRefGoogle Scholar
Baines, K.H., Bellucci, G., Bebring, J.P., et al. (2000) Detection of sub-micron radiation from the surface of Venus by the Cassini/VIMS. Icarus, 148, 307311.CrossRefGoogle Scholar
Brown, A.J. (2014) Spectral bluing induced by small particles under the Mie and Rayleigh regimes. Icarus, 239, 8595.CrossRefGoogle Scholar
Carlson, R., Smythe, W., Baines, K.H., et al. (1996) Near-infrared spectroscopy and spectral mapping of Jupiter and the Galilean satellites: First results from Galileo’s initial orbit. Science, 274, 385388.CrossRefGoogle Scholar
Clark, R.N. (1981) Water frost and ice: The near‐infrared spectral reflectance 0.65–2.5 μm. Journal of Geophysical Research, 86, 30873096.CrossRefGoogle Scholar
Clark, R.N. (1983) Spectral properties of mixtures of montmorillonite and dark carbon grains: Implications for remote sensing minerals containing chemically and physically adsorbed water. Journal of Geophysical Research, 88, 1063510644.CrossRefGoogle Scholar
Clark, R.N. (1999) Spectroscopy of rocks and minerals, and principles of spectroscopy. Manual of Remote Sensing, 3, 22.Google Scholar
Clark, R.N. (2009) Detection of adsorbed water and hydroxyl on the Moon. Science, 326, 562564.CrossRefGoogle ScholarPubMed
Clark, R.N. & Lucey, P.G. (1984) Spectral properties of ice‐particulate mixtures and implications for remote sensing: 1. Intimate mixtures. Journal of Geophysical Research, 89, 63416348.CrossRefGoogle Scholar
Clark, R.N., Swayze, G., Heidebrecht, K., Goetz, A.F., & Green, R.O. (1993) Comparison of methods for calibrating AVIRIS data to ground reflectance. Proceedings of the 5th Annual Airborne Geoscience Workshop, 35–36.Google Scholar
Clark, R.N., Swayze, G.A., Heidebrecht, K., Green, R.O., & Goetz, F. (1995) Calibration to surface reflectance of terrestrial imaging spectrometry data: Comparison of methods. Proceedings of the 5th JPL Airborne Earth Science Workshop, Abstract, 41–42.Google Scholar
Clark, R.N., Green, R.O., Swayze, G.A., et al. (2001) Environmental studies of the World Trade Center area after the September 11, 2001 attack. U.S. Geological Survey, Open File Report OFR-01-0429.CrossRefGoogle Scholar
Clark, R.N., Swayze, G.A., Livo, K.E., et al. (2003a) Imaging spectroscopy: Earth and planetary remote sensing with the USGS Tetracorder and expert systems. Journal of Geophysical Research, 108, E12, 5131, DOI:10.1029/2002JE001847.Google Scholar
Clark, R.N., Swayze, G., Livo, K.E., et al. (2003b) Surface reflectance calibration of terrestrial imaging spectroscopy data: A tutorial using AVIRIS. Proceedings of the 11th JPL Airborne Earth Science Workshop, 43–63.Google Scholar
Clark, R.N., Curchin, J.M., Barnes, J.W., et al. (2010a) Detection and mapping of hydrocarbon deposits on Titan. Journal of Geophysical Research, 115, E10005, DOI:10.1029/2009JE003369.CrossRefGoogle Scholar
Clark, R.N., Swayze, G.A., Leifer, I., et al. (2010b) A method for quantitative mapping of thick oil spills using imaging spectroscopy. US Geological Survey Open-File Report, 20101167, 151.CrossRefGoogle Scholar
Clark, R.N., Cruikshank, D.P., Jaumann, R., et al. (2012) The surface composition of Iapetus: Mapping results from Cassini VIMS. Icarus, 218, 831860.CrossRefGoogle Scholar
Clark, R.N., Swayze, G.A., Murchie, S.L., Seelos, F.P., Seelos, K., & Viviano-Beck, C.E. (2015) Mineral and other materials mapping of CRISM data with Tetracorder 5. 46th Lunar Planet. Sci. Conf., Abstract #2410.Google Scholar
Clark, R.N., Swayze, G.A., Murchie, S.L., Seelos, F.P., Viviano-Beck, C.E., & Bishop, J. (2016) Mapping water and water-bearing minerals on Mars with CRISM. 47th Lunar Planet. Sci. Conf., Abstract #2900.Google Scholar
Cornet, T., Rodriguez, S., Maltagliati, L., et al. (2017) Radiative transfer modelling in Titan’s atmosphere: Application to Cassini/VIMS data. 48th Lunar Planet. Sci. Conf., Abstract #1847.Google Scholar
Ehlmann, B.L., Swayze, G.A., Milliken, R.E., et al. (2016) Discovery of alunite in Cross crater, Terra Sirenum, Mars: Evidence for acidic, sulfurous waters. American Mineralogist, 101, 15271542.CrossRefGoogle Scholar
Gao, B.C. & Goetz, A.F. (1990) Column atmospheric water vapor and vegetation liquid water retrievals from airborne imaging spectrometer data. Journal of Geophysical Research, 95, 35493564.Google Scholar
Hapke, B. (1981) Bidirectional reflectance spectroscopy: 1. Theory. Journal of Geophysical Research, 86, 30393054.CrossRefGoogle Scholar
Hapke, B. (1993) Introduction to the theory of reflectance and emittance spectroscopy. Cambridge University Press, New York.CrossRefGoogle Scholar
Hapke, B. (2001) Space weathering from Mercury to the asteroid belt. Journal of Geophysical Research, 106, 1003910073.CrossRefGoogle Scholar
Hapke, B. (2012) Theory of reflectance and emittance spectroscopy. Cambridge University Press, Cambridge.CrossRefGoogle Scholar
Harder, J.W., Fontenla, J.M., Pilewskie, P., Richard, E.C., & Woods, T.N. (2009) Trends in solar spectral irradiance variability in the visible and infrared. Geophysical Research Letters, 36, L07801, DOI:10.1029/2008GL036797.CrossRefGoogle Scholar
Heylen, R., Parente, M., & Gader, P. (2014) A review of nonlinear hyperspectral unmixing methods. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7, 18441868.CrossRefGoogle Scholar
Heylen, R., Parente, M., & Scheunders, P. (2017) Estimation of the number of endmembers in a hyperspectral image via the hubness phenomenon. IEEE Transactions on Geoscience and Remote Sensing, 55, 21912200.CrossRefGoogle Scholar
Hoefen, T.M., Clark, R.N., Bandfield, J.L., Smith, M.D., Pearl, J.C., & Christensen, P.R. (2003) Discovery of olivine in the Nili Fossae region of Mars. Science, 302, 627630.CrossRefGoogle ScholarPubMed
Kokaly, R.F., Despain, D.G., Clark, R.N., & Livo, K.E. (2003) Mapping vegetation in Yellowstone National Park using spectral feature analysis of AVIRIS data. Remote Sensing of Environment, 84, 437456.CrossRefGoogle Scholar
Kokaly, R., Despain, D.G., Clark, R., & Livo, K.E. (2007) Spectral analysis of absorption features for mapping vegetation cover and microbial communities in Yellowstone National Park using AVIRIS data. In: Integrated Geoscience Studies in the Greater Yellowstone Area: Volcanic, Tectonic, and Hydrothermal Processes in the Yellowstone Geoecosystem. USGS Professional Paper 1717 (Morgan, L.A., ed.). U.S. Geological Survey.Google Scholar
Kokaly, R.F., King, T.V., & Hoefen, T.M. (2013) Surface mineral maps of Afghanistan derived from HyMap imaging spectrometer data, version 2. US Department of the Interior, US Geological Survey Data Series, 787, 29pp.CrossRefGoogle Scholar
Krivova, N., Solanki, S., & Unruh, Y. (2011) Towards a long-term record of solar total and spectral irradiance. Journal of Atmospheric and Solar-Terrestrial Physics, 73, 223234.Google Scholar
Livo, K.E., Kruse, F.A., Clark, R.N., Kokaly, R.F., & Shanks, W.C.I. (2007) Hydrothermally altered rock and hot- spring deposits at Yellowstone National Park—Characterized using airborne visible- and infrared-spectroscopy data. Integrated geoscience studies in the Greater Yellowstone area: Volcanic, tectonic, and hydrothermal processes in the Yellowstone geoecosystem. USGS Professional Paper 1717 (Morgan, L.A., ed.). US Geological Survey, 463489.Google Scholar
Mastrapa, R., Bernstein, M., Sandford, S., Roush, T., Cruikshank, D., & Dalle Ore, C. (2008) Optical constants of amorphous and crystalline H2O-ice in the near infrared from 1.1 to 2.6 μm. Icarus, 197, 307320.CrossRefGoogle Scholar
McGuire, P.C., Wolff, M.J., Smith, M.D., et al. (2008) MRO/CRISM retrieval of surface Lambert albedos for multispectral mapping of Mars with DISORT-based radiative transfer modeling: Phase 1—Using historical climatology for temperatures, aerosol optical depths, and atmospheric pressures. IEEE Transactions on Geoscience and Remote Sensing, 46, 40204040.CrossRefGoogle Scholar
McGuire, P.C., Bishop, J.L., Brown, A.J., et al. (2009) An improvement to the volcano-scan algorithm for atmospheric correction of CRISM and OMEGA spectral data. Planetary and Space Science, 57, 809815.CrossRefGoogle Scholar
Murchie, S., Arvidson, R., Bedini, P., et al. (2007) Compact reconnaissance imaging spectrometer for Mars (CRISM) on Mars reconnaissance orbiter (MRO). Journal of Geophysical Research, 112, E05S03, DOI:10.1029/2006JE002682.Google Scholar
Murchie, S.L., Seelos, F.P., Hash, C.D., et al. (2009) The Compact Reconnaissance Imaging Spectrometer for Mars investigation and data set from the Mars Reconnaissance Orbiter’s primary science phase. Journal of Geophysical Research, 114, E00D07, DOI:10.1029/2009JE003344.Google Scholar
Parente, M., Makarewicz, H.D., & Bishop, J.L. (2011) Decomposition of mineral absorption bands using nonlinear least squares curve fitting: Application to martian meteorites and CRISM data. Planetary and Space Science, 59, 423442.Google Scholar
Pieters, C.M., Goswami, J., Clark, R., et al. (2009) Character and spatial distribution of OH/H2O on the surface of the Moon seen by M3 on Chandrayaan-1. Science, 326, 568572.CrossRefGoogle ScholarPubMed
Seelos, F., Morgan, M., Taylor, H., et al. (2012) CRISM Map Projected Targeted Reduced Data Records (MTRDRs): High level analysis and visualization data products. Planetary Data: A Workshop for Users and Software Developers, 159–162.Google Scholar
Sunshine, J.M., Pieters, C.M., & Pratt, S.F. (1990) Deconvolution of mineral absorption bands: An improved approach. Journal of Geophysical Research, 95, 69556966.CrossRefGoogle Scholar
Swayze, G.A., Smith, K.S., Clark, R.N., et al. (2000) Using imaging spectroscopy to map acidic mine waste. Environmental Science & Technology, 34, 4754.CrossRefGoogle Scholar
Swayze, G., Clark, R., Sutley, S., et al. (2002) Mineral mapping Mauna Kea and Mauna Loa shield volcanos on Hawaii using AVIRIS data and the USGS Tetracorder spectral identification system: Lessons applicable to the search for relict martian hydrothermal systems. Proceedings of the 11th JPL Airborne Earth Science Workshop, 373387.Google Scholar
Swayze, G.A., Clark, R.N., Goetz, A.F., Chrien, T.G., & Gorelick, N.S. (2003) Effects of spectrometer band pass, sampling, and signal‐to‐noise ratio on spectral identification using the Tetracorder algorithm. Journal of Geophysical Research, 108, 5105, DOI:10.1029/2002JE001975.CrossRefGoogle Scholar
Swayze, G.A., Kokaly, R.F., Higgins, C.T., et al. (2009) Mapping potentially asbestos-bearing rocks using imaging spectroscopy. Geology, 37, 763766.CrossRefGoogle Scholar
Swayze, G.A., Clark, R.N., Goetz, A.F., et al. (2014) Mapping advanced argillic alteration at Cuprite, Nevada, using imaging spectroscopy. Economic Geology, 109, 11791221.CrossRefGoogle Scholar
Thompson, D.R., Seidel, F.C., Gao, B.C., et al. (2015a) Optimizing irradiance estimates for coastal and inland water imaging spectroscopy. Geophysical Research Letters, 42, 41164123.CrossRefGoogle Scholar
Thompson, D.R., Gao, B.-C., Green, R.O., Roberts, D.A., Dennison, P.E., & Lundeen, S.R. (2015b) Atmospheric correction for global mapping spectroscopy: ATREM advances for the HyspIRI preparatory campaign. Remote Sensing of Environment, 167, 6477.CrossRefGoogle Scholar
Viviano-Beck, C.E., Seelos, F.P., Murchie, S.L., et al. (2014) Revised CRISM spectral parameters and summary products based on the currently detected mineral diversity on Mars. Journal of Geophysical Research, 119, 2014JE004627.Google Scholar

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