Peer-reviewed publications

  1. BulletAs the First Author

  2. 1. Li, S., and R. E. Milliken (2016), Heterogeneous water content in the lunar interior: insights from orbital detection of water in lunar pyroclastic deposits and silicic rich domes, Nature Geoscience, in prep.

  3. 2.Li, S., and R. E. Milliken, Quantitative mapping of minerals on Vesta with DAWN VIR data: Insights into Vesta’s magma ocean and Rheasilvia and Veneneia impacts, Journal of Geophysical Research, in prep.

  4. 3.Li, S., and R. E. Milliken, Water on the surface of the Moon: distribution, variation, and origin, Nature, in prep.

  5. 4.Li, S., and R. E. Milliken, A semi-empirical thermal correction model for the Moon Mineralogy Mapper (M3) images, Journal of Geophysical Research, in prep.

  6. 5.Li, S., and R. E. Milliken (2015), Estimating mineral abundances of HED meteorites from VIS-NIR spectra and implications for DAWN at Vesta, Meteoritics & Planetary Science 50, 11, 1821–1850.

  7. 6.Li, S., L. Li, R. Milliken, and K. Song (2012), Hybridization of Partial Least Square and Neural Network Models for Quantifying Lunar Surface Minerals, ICARUS, doi:10.1016/j.icarus.2012.07.023.

  8. 7.Li, S., and L. Li (2011), Radiative transfer modeling for quantifying lunar surface minerals, particle sizes and submicroscopic iron (SMFe), Journal of Geophysical Research, 116. E09001.

  9. 8.Li S., Q. Lin, Q. Liu, M. Wang, Q. Wang, and Y. Wei (2010), A computation efficient model for quantifying minerals and its applications, Spectroscopy And Spectral Analysis, 30 (05): 1315-1319.

  10. BulletAs a co-Author (see the full list here: https://scholar.google.com/citations?user=pJx3yH4AAAAJ&hl=en)

  11. 9.Song, K., L. Li, S. Li, L. Tedesco, H. Duan, Z. Li, K. Shi, J. Du, Y. Zhao, T. Shao (2014), Using Partial Least Squares-Artificial Neural Network for Inversion of Inland Water Chlorophyll-a, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 52 (2).

  12. 10.Song, K., L. Li, L. Tedesco, S. Li, H. Duan, D. Liu, B. Hall, J. Du, Z. Li, K. Shi, Y. Zhao (2013), Remote estimation of chlorophyll-a in turbid inland waters: Three-band model versus GA-PLS model, Remote Sensing of Environment, 136, 342-357.

  13. 11.Song, K., L. Li, L. Tedesco,N. Clercin, B. Hall, S. Li, K. Shi, D. Liu, Y. Sun (2013), Remote estimation of phycocyanin (PC) for inland waters coupled with YSI PC fluorescence probe, Environmental science and pollution research international.

  14. 12.Song, K., L. Li, S. Li, L. Tedesco, B. Hall, Z. Li (2012), Hyperspectral retrieval of phycocyanin in potable water sources using genetic algorithm–partial least squares (GA–PLS) modeling, International Journal of Applied Earth Observation and Geoinformation, 18, 368-385.

  15. 13.Song, K., L. Li, L. Tedesco, S. Li, N. Clercin, B. Hall, Z. Li, K. Shi (2012), Hyperspectral determination of eutrophication for a water supply source via genetic algorithm–partial least squares (GA–PLS) modeling,  Science of the Total Environment, doi:10.1016/j.scitotenv.2012.03.058.

  16. 14.Song, K., L. Li, Z. Wang, D. Liu, B. Zhang, J. Xu, J. D, L. Li, S. Li, and Y. Wang (2011), Retrieval of total suspended matter (TSM) and chlorophyll-a (Chl-a) concentration from remote-sensing data for drinking water resources, Envion. Monit. Assess., doi: 10.1007/s10661-011-2053-3.

  17. 15.Song, K., D. Lu, L. Li, S. Li, Z. Wang, and J. Du (2011), Remote sensing of chlorophyll-a concentration for drinking water source using genetic algorithms (GA)-partial least square (PLS) modeling, Ecological Informatics, doi: 10.1016/j.ecoinf.2011.08.006.

  18. 16.Wang F., Q. Z. Lin, Q. J. Wang, and S. Li (2011), The study of the spectrum pre-processing method when applying the characteristic spectrum linear inversion modeling (CSLM) to extract the mineral information, Spectroscopy And Spectral Analysis, 31 (05).

  19. 17.Song, K., L. Li, S. Li, L. Tedesco, B. Hall, and L. Li (2011), Hyperspectral Remote Sensing of Total Phosphorus (TP) in Three Central Indiana Water Supply Reservoirs, Water, Air, & Soil Pollution, doi: 10.1007/s11270-011-0959-6.

  20. 18.Liu, Q., Q. Lin, Q. Wang, H. Li, and S. Li (2009), The infrared spectrum processing based on Continuum Fast Fourier Transform (CFFT), Spectroscopy And Spectral Analysis, 29 (12): 3279-3282.


Conference presentations


  1. 1.Li, S., and R. E. Milliken, Water on the Moon: Linking surface observations to interior processes, SSERVI 2015.

  2. 2.Li, S., and R. E. Milliken, Volatiles and the Origin of the Moon, Goldschmidt Conference 25th 2015 (Invited) (Declined).

  3. 3.Li, S., and R. E. Milliken, Quantitative mapping of hydration in lunar pyroclastic deposits and implications for lunar volcanic processes, SSERVI 2014.

  4. 4.Li, S., and R. E. Milliken, Quantitative Mapping Of Hydration In Lunar Pyroclastic Deposits:  Insights Into Water From The Lunar Interior, LPSC 45th 2014

  5. 5.Li, S., and R. E. Milliken (2013), Quantitative mapping and tracking of lunar surface hydration with Moon Mineralogy Mapper (M3) data, NLSI.

  6. 6.Li, S., and R. E. Milliken (2013), Evidence for increased water content in pyroclastic deposits from Moon Mineralogy Mapper data, Lunar Science Forum.

  7. 7.Li, S., and R. E. Milliken (2013), Quantitative Mapping of Lunar Surface Hydration with Moon Mineralogy Mapper (M3) Data, LPSC 44th, Abstract 1719.

  8. 8.Li, S., and R. E. Milliken (2012), New Quantitative Estimates of Lunar Surface Hydration from Moon Mineralogy Mapper (M3) Data, AGU 2012 fall meeting.

  9. 9.Li, S., and L. Li (2010), Radiative transfer modeling of lunar soil reflectance for accommodating the effects of roughness and temperature, LPSC 41st, Abstract 2168


Selected conference abstracts


  1. 10.Li, S., and R. E. Milliken (2012), Estimating mineral abundances of HED meteorites from VIS-NIR spectra and implications for DAWN at Vesta, LPSC 43rd, Abstract 1659.

  2. 11.Li, S., and L. Li (2010), Radiative transfer modeling for quantifying lunar mineral abundance, AGU 2010 fall meeting.

  3. 12.Li, S., and L. Li (2010), Comparison of three different statistical methods for retrieving the lunar mineral abundance, AGU 2010 fall meeting.