Skip to main content Accessibility help
×
Hostname: page-component-586b7cd67f-gb8f7 Total loading time: 0 Render date: 2024-11-24T05:09:32.523Z Has data issue: false hasContentIssue false

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
Get access
Type
Chapter
Information
Remote Compositional Analysis
Techniques for Understanding Spectroscopy, Mineralogy, and Geochemistry of Planetary Surfaces
, pp. 259 - 286
Publisher: Cambridge University Press
Print publication year: 2019

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

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.CrossRefGoogle 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.CrossRefGoogle 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.CrossRefGoogle 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.CrossRefGoogle 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.CrossRefGoogle 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.CrossRefGoogle 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

References

Acosta-Maeda, T.E., Misra, A.K., Muzangwa, L.G., et al. (2016) Remote Raman measurements of minerals, organics, and inorganics at 430 m range. Applied Optics, 55, 1028310289.CrossRefGoogle ScholarPubMed
Angel, S.M., Gomer, N.R., Sharma, S.K., & McKay, C. (2012) Remote Raman spectroscopy for planetary exploration: A review. Applied Spectroscopy, 66, 137150.CrossRefGoogle ScholarPubMed
Beegle, L.W., Bhartia, R., DeFlores, L., et al. (2014) SHERLOC: Scanning Habitable Environments with Raman and Luminescence for Organics and Chemicals, an investigation for 2020. 45th Lunar Planet. Sci. Conf., 178, Abstract #2835.Google Scholar
Beegle, L., Bhartia, R., White, M., et al. (2015) SHERLOC: Scanning Habitable Environments with Raman and Luminescence for Organics and Chemicals. Proceedings of the 2015 IEEE Aerospace Conference, 111.CrossRefGoogle Scholar
Bremer, M.T. & Dantus, M. (2014) Detecting micro-particles of explosives at ten meters using selective stimulated Raman scattering. CLEO: 2014, JTh2A.5.CrossRefGoogle Scholar
Bykov, S.V., Mao, M., Gares, K.L., & Asher, S.A. (2015) Compact solid-state 213 nm laser enables standoff deep ultraviolet Raman spectrometer: Measurements of nitrate photochemistry. Applied Spectroscopy, 69, 895901.CrossRefGoogle ScholarPubMed
Canny, J. (1986) A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-8, 679698.CrossRefGoogle Scholar
Dantus, M. (2014) Single-beam stimulated Raman scattering for sub-microgram standoff detection of explosives. Frontiers in Optics 2014, LW5I.1.CrossRefGoogle Scholar
Dogariu, A.E.D.D.J.P. & Gauthier, D. (2013) Standoff explosive detection and hyperspectral imaging using coherent anti-Stokes Raman spectroscopy. Frontiers in Optics 2013, LTh4G.4.CrossRefGoogle Scholar
Fulton, J. (2011) Remote detection of explosives using Raman spectroscopy. Proceedings of SPIE 8018, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing, XII, 80181A, DOI:10.1117/12.887101.Google Scholar
Furić, K. & Volovšek, V. (2010) Water ice at low temperatures and pressures: New Raman results. Journal of Molecular Structure, 976, 174180.CrossRefGoogle Scholar
Gaft, M. & Nagli, L. (2008) UV gated Raman spectroscopy for standoff detection of explosives. Optical Materials, 30, 17391746.CrossRefGoogle Scholar
Gasda, P.J., Acosta-Maeda, T.E., Lucey, P.G., Misra, A.K., Sharma, S.K., & Taylor, G.J. (2015) Next generation laser-based standoff spectroscopy techniques for Mars exploration. Applied Spectroscopy, 69, 173192.CrossRefGoogle ScholarPubMed
González, R.C., Woods, R.R.E., & Eddins, S.L. (2004) Digital image processing using Matlab. Dorling Kindersley, London.Google Scholar
Hansen, G.B. & McCord, T.B. (2004) Amorphous and crystalline ice on the Galilean satellites: A balance between thermal and radiolytic processes. Journal of Geophysical Research, 109, E01012.CrossRefGoogle Scholar
Hokr, B.H., Bixler, J.N., Noojin, G.D., et al. (2014) Single-shot stand-off chemical identification of powders using random Raman lasing. Proceedings of the National Academy of Sciences of the USA, 111, 1232012324.CrossRefGoogle ScholarPubMed
Hopkins, A.J., Cooper, J.L., Profeta, L.T., & Ford, A.R. (2016) Portable Deep-Ultraviolet (DUV) Raman for standoff detection. Applied Spectroscopy, 70, 861873.CrossRefGoogle ScholarPubMed
Hutchinson, I.B., Ingley, R., Edwards, H.G.M., et al. (2014) Raman spectroscopy on Mars: Identification of geological and bio-geological signatures in martian analogues using miniaturized Raman spectrometers. Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences, 372, DOI:10.1098/rsta.2014.0204.CrossRefGoogle Scholar
Izake, E.L., Cletus, B., Olds, W., Sundarajoo, S., Fredericks, P.M., & Jaatinen, E. (2012) Deep Raman spectroscopy for the non-invasive standoff detection of concealed chemical threat agents. Talanta, 94, 342347.CrossRefGoogle Scholar
Lin, Q., Niu, G., Wang, Q., Yu, Q., & Duan, Y. (2013) Combined laser-induced breakdown with Raman spectroscopy: Historical technology development and recent applications. Applied Spectroscopy Reviews, 48, 487508.CrossRefGoogle Scholar
Loeffen, P.W., Maskall, G., Bonthron, S., Bloomfield, M., Tombling, C., & Matousek, P. (2011) Spatially offset Raman spectroscopy (SORS) for liquid screening. Proceedings of SPIE 8189 Optics and Photonics for Counterterrorism and Crime Fighting VII, 81890C.CrossRefGoogle Scholar
Maurice, S., Wiens, R.C., Le Mouélic, S., et al. (2015) The SuperCam instrument for the Mars 2020 rover. European Planetary Science Congress Abstracts, 10, EPSC2015-185.Google Scholar
Misra, A.K., Sharma, S.K., Acosta, T.E., & Bates, D.E. (2011) Compact remote Raman and LIBS system for detection of minerals, water, ices, and atmospheric gases for planetary exploration. Proceedings of the SPIE 8032, Next-Generation Spectroscopic Technologies IV, 80320Q.CrossRefGoogle Scholar
Misra, A.K., Sharma, S.K., Acosta, T.E., Porter, J.N., & Bates, D.E. (2012) Single-pulse standoff Raman detection of chemicals from 120 m distance during daytime. Applied Spectroscopy, 66, 12791285.CrossRefGoogle ScholarPubMed
Moros, J. & Laserna, J.J. (2011) New Raman-Laser-Induced Breakdown Spectroscopy identity of explosives using parametric data fusion on an integrated sensing platform. Analytical Chemistry, 83, 62756285.CrossRefGoogle Scholar
Moros, J., Lorenzo, J.A., & Laserna, J.J. (2011) Standoff detection of explosives: Critical comparison for ensuing options on Raman spectroscopy–LIBS sensor fusion. Analytical and Bioanalytical Chemistry, 400, 33533365.CrossRefGoogle ScholarPubMed
Pettersson, A., Wallin, S., Östmark, H., et al. (2010) Explosives standoff detection using Raman spectroscopy: From bulk towards trace detection. Proceedings of SPIE, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets, XV, 76641K, DOI:10.1117/12.852544.CrossRefGoogle Scholar
Rull, F., Sansano, A., Sobron, P., & Amase, T. (2010) In-situ Raman-LIBS analysis of regolithes during AMASE 2008 and 2009 expeditions. 41st Lunar Planet. Sci. Conf., Abstract #2731.Google Scholar
Rull, F., Vegas, A., Sansano, A., & Sobron, P. (2011) Analysis of Arctic ices by remote Raman spectroscopy. Spectrochimica Acta A: Molecular and Biomolecular Spectroscopy, 80, 148155.CrossRefGoogle ScholarPubMed
Scaffidi, J.P., Gregas, M.K., Lauly, B., Carter, J.C., Angel, S.M., & Vo-Dinh, T. (2010) Trace molecular detection via surface-enhanced Raman scattering and surface-enhanced resonance Raman scattering at a distance of 15 meters. Applied Spectroscopy, 64, 485492.CrossRefGoogle Scholar
Sharma, S.K., Misra, A.K., Lucey, P.G., Angel, S.M., & McKay, C.P. (2006) Remote pulsed Raman spectroscopy of inorganic and organic materials to a radial distance of 100 meters. Applied Spectroscopy, 60, 871876.CrossRefGoogle Scholar
Sharma, S.K., Misra, A.K., Lucey, P.G., & Lentz, R.C.F. (2009) A combined remote Raman and LIBS instrument for characterizing minerals with 532 nm laser excitation. Spectrochimica Acta A: Molecular and Biomolecular Spectroscopy, 73, 468476.CrossRefGoogle ScholarPubMed
Sharma, S.K., Misra, A.K., Clegg, S.M., et al. (2011) Remote-Raman spectroscopic study of minerals under supercritical CO2 relevant to Venus exploration. Spectrochimica Acta A: Molecular and Biomolecular Spectroscopy, 80, 7581.CrossRefGoogle ScholarPubMed
Skulinova, M., Lefebvre, C., Sobron, P., et al. (2014) Time-resolved stand-off UV-Raman spectroscopy for planetary exploration. Planetary and Space Science, 92, 88100.CrossRefGoogle Scholar
Sobron, P., Sanz, A., Thompson, C., Cabrol, N., & Team, P.L.L.P. (2014) In-situ lake bio-geochemistry using laser Raman spectroscopy and optrode sensing. 11th International GeoRaman Conference, Abstract #5027.Google Scholar
Sobron, P., Andersen, D.T., & Pollard, W.H. (2016) In-situ exploration of habitable environments and biosignatures in Arctic cold springs and Antarctic paleolakes. Conference on Biosignature Preservation and Detection in Mars Analog Environments, Abstract #1912.Google Scholar
Steele, A., Amundsen, H.E.F., Fogel, M., et al. (2011) The Arctic Mars Analogue Svalbard Expedition (AMASE) 2010. 42nd Lunar Planet. Sci. Conf., Abstract #1588.Google Scholar
Vítek, P., Edwards, H.G.M., Jehlička, J., et al. (2010) Microbial colonization of halite from the hyper-arid Atacama Desert studied by Raman spectroscopy. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 368, 32053221.CrossRefGoogle ScholarPubMed
Wei, J., Wang, A., Lambert, J.L., et al. (2015) Autonomous soil analysis by the Mars Micro-beam Raman Spectrometer (MMRS) on-board a rover in the Atacama Desert: A terrestrial test for planetary exploration. Journal of Raman Spectroscopy, 46, 810821.CrossRefGoogle Scholar
Zachhuber, B., Gasser, C., Chrysostom, E.t.H., & Lendl, B. (2011) Stand-off spatial offset Raman spectroscopy for the detection of concealed content in distant objects. Analytical Chemistry, 83, 94389442.CrossRefGoogle ScholarPubMed

Save book to Kindle

To save this book to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×