Abstract
The study of the lunar surface mineralogy is significant to understand the origin and its evolution. For the first time, an attempt was made to model the Chandrayaan-1 Hyperspectral (HySI) data using Hapke radiative transfer model for quantifying lunar minerals along with associated parameters like grain size, porosity and submicroscopic iron SMFe which is considered to be the main product of space weathering. The model spectra were created with selected pure end member from the RELAB database, and the model validation was done against the four standard mixtures. In all four test cases, the model reproduces the trends successfully. The RMSE and the correlation coefficient were calculated between measured and modeled spectra. After testing, the active spectral signatures from bright fresh craters derived from the data set covering the Mare Crisium were modeled. The model result shows the fresh craters from the Mare areas rich in Clinopyroxene with low agglutinates. The model gives around 10% of olivine. The spectra from highland give a high percentage of plagioclase and agglutinate. However, modeling the spectra from relatively mature soil with no significant absorption is difficult to model.
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References
Pieters, C.M., Fischer, E.M., Rode, O., Basu, A.: Optical effects of space weathering—the role of the finest fraction. J. Geophys. Res. Planets 98, 20817–20824 (1993)
Chapman, C.R.: Space weathering of asteroid surfaces. Annu. Res. Earth Planet. Sci. 32, 539–567 (2004)
Keller, L.P., Mckay, D.S.: Discovery of vapor deposits in the lunar regolith. Science 261, 1305–1307 (1993)
Keller, L.P., McKay, D.S.: The nature and origin of rims on lunar soil grains. Geochim. Cosmochim. Acta 61, 2331–2341 (1997)
Taylor, L.A., Pieters, C.M., Keller, L.P., Morris, R.V., McKay, D.S.: Lunar mare soils: space weathering and the major effects of surface-correlated nanophase fe. J. Geophys. Res. Planets 106, 27985–27999 (2001)
Taylor, L.A., Pieters, C.M., Patchen, A., Taylor, D.S., Morris, R.V., Keller, L.P., Mckay, D.S.: Mineralogical and chemical characterization of lunar highland soils: insights into the space weathering of soils on airless bodies. J. Geophys. Res. Planets 115, E02002 (2010)
McCord, T.B., Johnson, T.V.: Lunar spectral reflectivity (0.30 to 2.50 microns) and implications for remote mineralogical analysis. Science 169, 855–858 (1970)
McCord, T.B., Adam, J.B.: Progress in remote optical analysis of lunar surface composition. Moon 7, 453–474 (1973)
Pieters, C.M., Taylor, L.A., Noble, S.K., Keller, L.P., Hapke, B., Morris, R.V., Allen, C.C., McKay, D.S., Wentworth, S.: Space weathering on airless bodies: resolving a mystery with lunar samples. Meteorit. Planet. Sci. 35, 1101–1107 (2000)
Noble, S.K., Pieters, C.M., Keller, L.P.: An experimental approach to understanding the optical effects of space weathering. Icarus 192, 629–642 (2007)
Hapke, B.: Effects of a simulated solar wind on the photometric properties of rocks and powders. Ann. New York Acad. Sci. 123, 711–721 (1965)
Hapke, B., Cohen, A., Cassidy, W., Wells, E.: Solar radiation effects on the optical properties of Apollo 11 lunar samples. In: Proceeding Apollo 11 Lunar Science Conference, pp. 2199–2212
Nobel, S.K., Pieters, C.M.: Space weathering on mercury: implications for remote sensing. Sol. Syst. Res. 37, 31–35 (2003)
Brunetto, R., Vernazza, P., Marchi, S., Birlan, M., Fulchignoni, M., Orofino, V., Strazzulla, G.: Modeling asteroid surfaces from observations and irradiation experiments: the case of 832 Karin. Icarus 184, 327–337 (2006)
Shkuratov, Y.G., Starukhina, L., Huffmann, H., Arnold, G.: A model of spectral albedo of particulate surfaces: implications for optical properties of the Moon. Icarus 137(2), 235–246 (1999). https://doi.org/10.1006/icar.1998.6035
Hapke, B.: Bidirectional reflectance spectroscopy: 1. Theory. J. Geophys. Res. 86, 3039–3054 (1981)
Sunshine, J.M., Pieters, C.M., Prait, S.F.: Deconvolution of mineral absorption bands: an improved approach. J. Geophys. Res. 95(B5), 6955–6966 (1990). https://doi.org/10.1029/JB095iB05p06955
Poulet, F., Erard, E.: Nonlinear spectral mixing: Quantitative analysis of laboratory mineral mixtures. J. Geophys. Res. 109, E02009 (2004). https://doi.org/10.1029/2003JE002179
Hapke, B., Wells, E.: Bidirectional reflectance spectroscopy: 2. Experiments and observations. J. Geophys. Res. 86, 3055–3060 (1981)
Hapke, B.: Bidirectional reflectance spectroscopy: 3. Correction for macroscopic roughness. Icarus 59, 41–59 (1984)
Hapke, B.: Bidirectional reflectance spectroscopy: 4. The extinction coefficient and the opposition effect. Icarus 67, 264–280 (1986)
Hapke, B.: Theory of reflectance and emittance spectroscopy. Topics in Remote Sensing, Cambridge, Cambridge University Press, UK (1993)
Hapke, B.: Space weathering from mercury to the asteroid belt. J. Geophys. Res. 106, 10039–10074 (2001)
Clark, R.N., Roush, T.L.: Reflectance spectroscopy: quantitative analysis techniques for remote sensing applications. J. Geophys. Res. 89, 6329–6340 (1984). https://doi.org/10.1029/JB089iB07p06329
Mustard, J.F., Pieters, C.M.: Quantitative abundance estimates from bidirectional reflectance measurements. In: 17th Proceeding Lunar Planet Science Conference Part 2, J. Geophys. Res. vol. 92, pp. E617–E626 (1987). https://doi.org/10.1029/jb092ib04p0e617
Lucey, P.G.: Mineral maps of the Moon. Geophys. Res. Lett. 31, L08701 (2004). https://doi.org/10.1029/2003GL019406
Lawrence, S.J., Lucey, P.G.: Radiative transfer mixing models of meteoritic assemblages. J. Geophys. Res. 112, E07005 (2007). https://doi.org/10.1029/2006JE002765
Cahill, J.T.S., Lucey, P.G., Wieczorek, M.A.: Compositional variations of the lunar crust: results from radiative transfer modeling of central peak spectra. J. Geophys. Res. 114, E09001 (2009). https://doi.org/10.1029/2008JE003282
Cahill, J.T.S., Lucey, P.G., Stockstill-Cahill, K.R., Hawke, B.R.: Radiative transfer modeling of near-infrared reflectance of lunar highland and mare soils. J. Geophys. Res. 115, E12013 (2010). https://doi.org/10.1029/2009JE003500
Hiroi, T., Pieters, C.M.: Estimation of grain sizes and mixing ratios of fine powder mixtures of common geologic minerals. J. Geophys. Res., 99, 10867–10880
Kitamura, R., Pilon, L., Jonasz, M.: Optical constants of silica glass from extreme ultraviolet to far infrared at near room temperature. Appl. Opt. 46, 8118 (2007)
Johnson, P.B., Cristy, R.W.: Optical constants of metals: Ti, V, Cr, Mn, Fe, Co, Ni, and Pd. Phys. Rev. 9, 5056–5070 (1974)
Mustard, J.F., Pieters, C.M.: Photometric phase functions of common geologic minerals and applications to quantitative analysis of mineral mixture reflectance spectra. J. Geophys. Res. 94, 13619–13634 (1989)
Hapke, B.: Bidirectional Reflectance Spectroscopy 5. The Coherent Backscatter opposition effect and anisotropic scattering. Icarus 157, 523–534 (2002)
Papike, J.J., Vaniman, D.T.: Luna 24 ferrobasalts and the mare basalt suite—comparative chemistry, mineralogy, and petrology, in Mare Crisium: The view from Luna 24. In: Merrill, J.J., Papike, R.B. (eds.). pp. 371–401
Acknowledgements
The author is thankful for the financial assistance received from Department of Space (DoS, ISRO/SSPO/Ch-1/2016-17, August 17, 2016). This work is a part of the ISRO project under Chandrayaan-1 Announcement of Opportunity (AO) program. The research is based (partially or to a significant extent) on the results obtained from the Chandrayaan-1, first lunar mission of the ISRO, archived at the Indian Space Science Data Center (ISSDC).
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Mohammed Zeeshan, R., Sayyad Shafiyoddin, B. (2020). Modeling the Chandrayaan-1 Hyperspectral (HySI) Data for Mineral Mixing Analysis. In: Reddy, V., Prasad, V., Wang, J., Reddy, K. (eds) Soft Computing and Signal Processing. ICSCSP 2019. Advances in Intelligent Systems and Computing, vol 1118. Springer, Singapore. https://doi.org/10.1007/978-981-15-2475-2_44
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