Publications
Planetary and  Environmental Remote Sensing Lab

Refereed Journal Articles

Published, In Press, and Accepted

2014

1.    Li, L. H., L. Li, and K. S. Song, Remote sensing of freshwater cyanobacteria: a new light absorption partitioning approach to improve phycocyanin estimation (invited), Remote Sensing of Environment, submitted, 2014.

2.   Mao, D. H., Z. M. Wang, L. Li, and W. H. Ma, Spatiotemporal dynamics of grassland aboveground net primary productivity and its association with climatic pattern and changes in Northern China, Ecological Indicators,41: 40-48, 2014.

3.   Shi, K., Y. M. Li, Y. L. Zhang, L. Li, H. Lv, and K. S. Song, Classification of inland waters based on bio-optical properties, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 7(2): 543-561, 2014.

4.   Song, K. S., L. Li, S. Li, L. Tedesco, B. Hall, Z. C. Li, K. Shi, J. Du, Y. Zhao, and J. Hou, Using partial least squares-artificial neural network (PLS-ANN) modeling for inversion of inland water chlorophyll-a, IEEE Transaction on Geoscience and Remote Sensing, 52(2): 1502-1517, 2014.

2013

5.   Jia, M. M., Z. M. Wang, L. Li, K. S. Song, C. Y. Ren, B. Liu, and D. H. Mao, Mapping China's mangroves based on object-oriented classification of Landsat imagery, Wetlands (special issue), 34: 277-283, 2013.

6.   Song, K. S., L. Li, L. Tedesco, N. Clercin, B. Hall, S. Li, K. Shi, D. Liu, and Y. Sun, Remote estimation of phycocyanin (PC) for inland waters coupled with YSI PC fluorescence probe, Environmental Science and Pollution Research, 20(8): 5330-40, 2013.

7.   Babbar-Sebens, M., L. Li, K. S. Song, and S. S. Xie, On the use of Landsat-5 TM satellite for assimilating initial conditions of water temperature in 3D hydrodynamic model of small inland reservoir in Midwestern U.S, Advances in Remote Sensing, 2(3): 214-227, 2013.

8.   Song, K. S., S. Y. Zang, Y. Zhao, L. Li, J. Du, N. N. Zhang, X. D. Wang, T. T. Shao, Y. Guan, and L. Liu, Spatiotemporal characterization of dissolved carbon for inland waters in semi-humid/semiarid region, China, Hydrology and Earth System Sciences Discussion, 17, 4269-4281, 2013.

9.   Song, K. S., L. Li, L. Tedesco, S. Li, H. T. Duan, D. W. Liu, B. Hall, J. Du, Z. C. Li, K. Shi, and Y. Zhao, Remote estimation of chlorophyll-a in turbid inland waters: three-band model versus GA-PLS model, Remote Sensing of Environment, 136:342-357, 2013.

10. Shi, K., Y. M. Li, L. Li, and H. Lu, Absorption characteristics of optically complex inland waters: implications for water optical classification, Journal of Geophysical Research-Biogeosciences,118: 1-15, 2013.

11. Nguy-Robertson, A., L. Li, L. Tedesco, J. Wilson, and E. Soyeux, Mass specific absorption coefficients for chlorophyll a, phycocyanin, CDOM and mineral matter from three central Indiana reservoirs, Journal of Great Lakes Research, 39(S1): 151-160, 2013.

12. Song, K. S., L. Li, Z. C. Li, L. Tedesco, B. Hall, and K. Shi, Remote detection of cyanobacteria through phycocyanin for water supply source using three-band model, Ecological Informatics, 15: 22-33, 2013.

13. Dong, Z. Y., Z. M. Wang, D. W. Liu, L. Li, C. Y. Ren, X. G. Tang, M. M. Jia, and C. Y. Liu, Assessment of habitat suitability for waterbirds in the West Songne Plain, China, using remote sensing and GIS, Ecological Engineering, 55: 94-100, 2013.

14. Li, L. H., L. Li, K. Shi, Z. C. Li, and K. S. Song, An analytical algorithm for remote estimation of phycocyanin in inland waters, Remote Sensing of Environment, 135: 150-166, 2013.

15. Li, Z. C., L. Li, K. S. Song, and N. Cassar, Estimating phytoplankton size composition from optical features derived from remote sensing reflectance, Journal of Geophysical Research-Ocean,118: 1445-14582013.

16. Zhang, T., L. Li, and B. J. Zheng, Estimation of agricultural soil properties with imaging and laboratory spectroscopy, Journal of Applied Remote Sensing (JARS), 7: 073587-1-24, 2013.

17. Shi, K., Y. M. Li, L. Li, H. Lu, K. S. Song, Z. H. Liu, Y. F. Xu, Z. C. Li, and L. H. Li, A framework for chlorophyll-a estimates for inland waters based on optical classification, Science of the Total Environment, 44: 1-15, 2013.

2012

18. Shao, Y., H. Gong, Z. H. Gao, L. Liu, L. Li, and T. Zhang, SAR data for subsurface saline lacustrine deposits detection and primary interpretation on the evolution of the vanished Lop Nur Lake, Canadian Journal of Remote Sensing, 38(03): 267-280, 2012.

19. Li, S., L. Li, R. Milliken, and K. S. Song, Comparison of three different statistical methods for quantifying lunar surface minerals, Icarus, 221(1): 208-225, 2012.

20. Li, L. H., L. Li, K. Shi, Z. C. Li, and K. S. Song, A semi-analytical algorithm for remote estimation of phycocyanin in inland waters, Science of the Total Environment, 435&436: 141-150, 2012.

21. Nguy-Robertson, A., L. Li, L. P. Tedesco, J. S. Wilson, and E. Soyeux, Comparing the performance of empirical, semi-empirical and curve fitting models in predicting cyanobacterial pigments, Photogrammetric Engineering and Remote Sensing, 78(5): 485-494, 2012.

22. Song, K. S., L. Li, S. Li, L. P. Tedesco, B. Hall, and Z. C. Li, 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, 2012.

23. Song, K. S., L. Li, L. P. Tedesco, S. Li, A. N. Clercin, B. Hall, Z. C. Li, and K. Shi, Hyperspectral determination of eutrophication for a water supply source via genetic algorithm-partial least squares (GA-PLS) modeling, Science of the Total Environment, 426: 220-232, 2012.

24. Song, K. S.,  L. Li, Z. M. Wang,  D. W. Liu, J. Xu, B. Zhang, L. H. Li, G. Jia, and Y. Wang, Retrieval of total suspended matter (TSM) and chlorophyll-a (Chl-a) concentration from remote sensing data for drinking water resources, Environmental Monitoring and Assessment, 184(3): 1449-1470, 2012.

25. Song, K. S., L. Li, S. Li, L. Tedesco, L. H. Li, and B. Hall, Hyperspectral remote sensing of total phosphorus (TP) through relating to optically active constituents, Water, Air and Soil Pollution, 223(4): 1481-1502, 2012.

26. Song, K. S., Z. M. Wang, L. Li, L. Tedesco, F. Li, C. Jin, and J.  Du, Wetlands shrinkage, fragmentation and their links to agriculture in the Mulenge-Xingkai Plain, China, Journal of Environmental Management, 111: 120-132, 2012.

2011

27. Gu, Z. J., X. Z. Shi, L. Li, D. S. Yu, Y. M. Liu, L. S. Liu, and W. T. Zhang, Using multi-dimensional vegetation index to estimate leaf area index from multiple radiometric correction SPOT 5 images, International Journal of Remote Sensing, doi:10.1080/01431161.2011.562251, 2011.

28. Li, L., Quantifying TiO2 abundance of lunar soils: partial least squares and stepwise multiple regression analysis for determining causal effect, Journal of Earth Science, 22(5): 549-565, 2011.

29. Li, L. H., L. Li, K. S.  Song, Y. M. Li, K. Shi, and Z. C. Li, An improved analytical algorithm for remote estimation of chlorophyll-a in highly turbid waters, Environmental Research Letter,6(034037), 2011.

30. Li, S., and L. Li, Radiative transfer modeling for estimation of lunar mineral abundance, particle size and submicroscopic iron, Journal of Geophysical Research-Planets, 116, E09001, 2011.

31. Song, K. S., D. M. Lu, L. Li, S. Li, Z. M. Wang, and J. Du, Remote sensing of chlorophyll-a concentration for drinking water using genetic algorithms (GA)-partial least square (PLS) model, Ecological informatics, 10: 25-36, 2011.

32. Zeng, L. H., K. S. Song, B. Zhang, L. Li,  Z. M. Wang, J. Du, and D. W. Liu, Application of surface energy balance algorithm for land model with MODIS products to monitor regional actual evapotranspiration in the Songnen Plain, Northeast, China, Journal of Applied Remote Sensing, 5(053535): 1-14, 2011.

2010

33. Lu, D. M., K. S. Song, L. Li,  D. W. Liu, S. Li, Y. D. Wang, Z. M. Wang, J. P. Xu, J. Du, and M. M. Jia, Training a GA-PLS model for Chl-a concentration estimation over inland lake in Northeast China, Procedia Environmental Sciences, 2: 842-851, 2010.

34. Li, L., R. Sengpiel, D. L. Pascual, L. P. Tedesco, J. S. Wilson, and E. Soyeux, Using hyperspectral remote sensing to estimate chlorophyll a and phycocyanin in a mesotrophic reservoir, International Journal of Remote Sensing, 31(15): 4147-4162, 2010.

35. Pandit, C., G. Filippelli, and L. Li, An estimation of heavy metal contamination in soil using reflectance spectroscopy and partial least squares regression, International Journal of Remote Sensing, 31(15): 4111-4123, 2010.

36. Gu, Z. J., Z. Y. Zeng, X. Z. Shi, L. Li, D. C. Weindorf, Y. Zha, and D. S. Yu, A calculation model for estimating total forest coverage from digital photography measurements, Pedosphere, 20: 318-325, 2010.

2009

37. Gu, Z. J., Z. Y. Zeng, X. Z. Shi, L. Li, D. S. Yu, W. Zheng, Z. L. Zhang, and Z. F. Hu, Assessing factors influencing vegetation coverage calculation with remote sensing imagery, International Journal of Remote Sensing, 30(10), 2479-2489, 2009.

2008

38. Li, L., Partial least squares methods for spectrally estimating lunar soil FeO abundance: a stratified approach to revealing nonlinear effect and qualitative interpretation, Journal of Geophysical Research-Planets, 113, E12013, 2008.

39. Randolph, R., J. Wilson, L. Tedesco, L. Li, and E. Soyeux, Hyperspectral remote sensing of cyanobacteria in turbid inland water using optically active pigments, chlorophyll and phycocyanin, Remote Sensing of Environment, 12(11): 4009-4019, 2008.

40. Li, L., S. L. Ustin, X. T. Hu, and D. Riaño, Retrieval of vegetation equivalent water thickness from reflectance using genetic algorithm (GA)-partial least squares (PLS) regression, Advances in Space Research, 41: 1755-1763, 2008.

41. Li, L., Quantifying lunar soil composition with partial least squares modeling of reflectance, Advances in Space Research, 42(2): 267-274, 2008.

2007

42. Zha, Y., and L. Li, Influence of dust storms on MODIS data for land cover identification, Journal of Geophysical Research-Planets, 112, D14205, 2007.

43. Li, L., S. L. Ustin, and D. Riaño, Retrieval of fresh leaf fuel moisture content using genetic algorithm-partial least squares modeling (GA-PLS), IEEE Transaction on Geoscience and Remote Sensing Letters, 4(2): 216-2202007.

2006

44. Li, L., Partial least squares modeling to quantify lunar soil composition with hyperspectral reflectance measurements, Journal of Geophysical Research-Planets, 111, E04002, 2006.

2005

45. Li, L., and J. F. Mustard, On lateral mixing efficiency of lunar regolith, Journal of Geophysical Research-Planets, 110, E11002, 2005.

46. Li, L., S. L. Ustin and M. Lay, Application of AVIRIS data in detection oil-induced vegetation stress and land cover change at Jornada, New Mexico, Remote Sensing of Environment, 94: 1-16, 2005.

47. Li, L., S. L. Ustin, and M. Lay, Mapping vegetation of costal salt marsh with multiple endmember spectral mixture analysis (MESMA) of hyperspectral AVIRIS imagery, International Journal of Remote Sensing, 26: 5193-52072005.

2004

48. Whiting, M. L., L. Li, and S. L. Ustin, Predicting water content using Gaussian model on soil spectra, Remote Sensing of Environment, 89: 535-552, 2004.

1998-2003

49. Li, L., and J. F. Mustard, Highland contamination in lunar mare soils: improved mapping with multiple endmember spectral mixture analysis (MESMA), Journal of Geophysical Research-Planets,108: 7-1 to 7-14, 2003.

50. Li, L., and J. F. Mustard, Compositional gradients across mare-highland contact: the importance and geological implication of lateral transport, Journal of Geophysical Research-Planets,105: 20431-20450, 2000.

51. Mustard, J. F., L. Li, and G. He, Nonlinear spectral mixture modeling of lunar multispectral data: implications for lateral transport, Journal of Geophysical Research-Planets, 103: 19519-19425, 1998.

1993-1996

52. Wang, Z. G., and L. Li, Geological remote sensing for the transverse structures in Tianshan area (Chinese), Environmental Remote Sensing,11(4): 273-279, 1996.

53. Wang, C., H. D. Guo, and L. Li, Space-, air-borne and ground radar experiment (Chinese), Chinese Science Bulletin, 41(4): 377-380, 1996.

54.  L. Li., History and status of planetary exploration (Chinese), Remote Sensing Information, 4: 43-45, 1995. 

55.  Lin, S. D., and L. Li, Remote sensing analysis of geological features in gold district, Qiaben (Chinese), Remote Sensing for Land and Resources, 2: 22-27, 1993.

Full Papers in Conference Proceedings

1.  Dundar, M., L. Li, and B. Rajwa, Partially-observed models for classifying minerals on Mars, WHISPERS-5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Gainesville, Florida, Jun. 25-28, 2013,

2.  Song, K., D. Liu, L. Li, Z. Wang, Y. Wang, and G. Jiang, Spectral absorption properties of colored dissolved organic matter (CDOM) and total suspended matter (TSM) of inland waters, Proc. of SPIE, Vol. 7811, 78110B, San Diego, CA, Aug. 1-5, 2010.

3.  Song, K. S., J. Wu, L. Li, Z. Wang, D. M. Lu, J. Du, and B. Zhang, MODIS-derived atmospheric water vapor content and its correlation to land use and land cover in Northeast China, Proc. of SPIE, Vol. 7809, 78090L, San Diego, CA, Aug. 1-5, 2010.

4.  Lu, D., K. S. Song, L. Li, and others, Wavelet transform (WT) and neural network model applied to canopy hyperspectral data for corn Chl-a estimation in Songnen Plain, China, Proceedings of SPIE Vol. 7799, 77990P, San Diego, CA, Aug. 1-5, 2010.

5.  Li, L. H., L. Li, and K. S. Song, A bio-optical approach to estimating chlorophyll-a concentration from hyperspectral remote sensing, Proc. of SPIE, San Diego, CA, Aug. 1-5 2010.

6.  Song, K. S., D. M. Lu, D. W.  Liu, Z. M. Wang, and L. Li, Retrieval of total suspended matter (TSM) using remotely sensed images in Shitoukoumen Reservoir, Northeast China, IEEE Geoscience and Remote Sensing Symposium (IGARSS), 405-408, Honolulu, HI, 2010.

7.  Li, L., S. L. Ustin, D. Riaño, and Y. B. Cheng, Estimation of vegetation water content through GA-PLS modeling of MODI reflectance data, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2115-2118, Honolulu, HI, Jul. 25-30, 2010.

8.  Robertson, A. L., L. Li, L. Tedesco, J. Wilson, and E. Soyeux, Using a partial least squares (PLS) method for estimating cyanobacterial pigments in eutrophic inland waters, Proc. of SPIE, Vol. 7454,745408, San Diego, CA,  2009.

9.  Zhang, T., L. Li, and B. Zheng, Partial least squares modeling of Hyperion image spectra for mapping agricultural soil properties, Proc. of SPIE, Vol. 7454,74540P, San Diego, CA,  2009.

10. Jiang, Z., L. Li, and S. L. Ustin, Estimation of canopy water content with MODIS spectral index, Proc. of SPIE, Vol. 7454,74540V, San Diego, CA, 2009.

11. Zhan, J., Y. Zha, and L. Li, Impact of normalization intervals for hyperspectral reflectance on estimation of chlorophyll-a in Lake Tai, China, Proceedings of ICBBE: Environmental Pollution and Public Health Track (EPPH2008), Shanghai, ChinaMay 16-18, 2008.

12. Liu, S., L. Li, and W. Wang, Hardware-software co-design for geological image processing, Proceedings of International Conference on Communications, Circuits and Systems, Guilin, China, Jun. 2006.

13. Liu, S., L. Li, and W. Wang, Efficient platform for geological image processing, Proceedings of IEEE Midwest Circuit and System Symposium, Aug. 2006.

14. Ustin, S. L., S. Jacquemoud, A. Palacios-Orueta, L. Li, and M. L. Whiting, Remote sensing based assessment of biophysical indicators for land degradation and desertification, in Proceedings of Remote Sensing and Geoinformation Processing in the Assessment and Monitoring of Land Degradation and Desertification (edited by J. Hill and A. Roeder, Taylor & Francis), Trier, Germany, Sept. 7-9, 2005.

15. Whiting, M. L, A. Palacios-Orueta, L. Li, and S. L. Ustin, Light absorption model for water content to improve soil mineral estimates in hyperspectral imagery, in Proceedings of Pecora 16-Global Priorities in Land Remote Sensing (edited by J. W. Merchant, American Society of Photogrammetry & Remote Sensing), Sioux Falls, SD, Oct. 23-27, 2005.    

16. Ustin, S. L., M. C. Lay, and L. Li, Remote sensing of wetland conditions in West Cost salt marsh, in Proceedings of SPIE 49th Annual Meeting, Denver, CO, Aug. 2-6, 2004.

17. Whiting, M. L., L. Li, and S. L. Ustin, Estimating surface soil moisture in simulated AVIRIS spectra, in Proceedings of 2002 AVIRIS Workshop, JPL, Pasadena, CA, Feb. 25-28, 2002.

18. Li, L., and J. F. Mustard, Non-diffusive lateral transport on the Moon: the importance of high velocity ejecta, in Proceedings of the 1st International Symposium of Digital Earth, pp. 504-509, Beijing, China, Nov.29-Dec.2, 1999.

19. Li, L., S. D. Lin, H. D. Guo, and Q. Z. Lin, Applying radar imagery to gold exploration in Altai area, Northwestern China, in Proceedings of the 13th Asian conference on Remote Sensing, pp. I 2.1-I 2.6, Ulaanbaatar, Mongolia, Oct. 7-11, 1992.

20. Dong, P. L., L. Li, and H. D. Guo, An approach of geographic information system toolkit for gold exploration in Haqia area China, in Proceedings of the Eighth Thematic Conference on Geological Remote Sensing, pp. 863-871, Denver, CO, Apr. 29-May 2, 1991.

21. Guo, H. D., S. D. Lin, L. Li, Y. Shao, and N. H. Li, Using SPOT and airborne radar imagery for gold exploration in Qiaben, Northern Xinjiang, China, in Proceedings of Remote Sensing: An Operational Technology for the Mining and Petroleum Industries, pp. 205-212, London, UK, Oct. 29-31, 1990.

Refereed Book Chapters

1.  Li, L., Applied IHS transformation to SPOT imagery for extracting gold-bearing geological alteration (Chinese), in Proceedings of Methodologies and Operations of Geological Remote Sensing in Mineral Exploration, edited by Guo et al., Science Press, pp. 29-36, Beijing, 1995.

2.   Li, L., C. G. Zhu, and S. K. Zhang, Remote sensing image processing for mineral exploration, in Geological Remote Sensing for Mineral Exploration in Northern Xinjiang, edited by H. D. Guo et al., Science Press, Chapter 3, pp. 26-45, Beijing, 1995.

3.   Lin, S. D., H. D. Guo, and L. Li, Remote sensing studies on geological characteristics of gold deposits in Qiaben area, Northern Xinjiang, China, in Proceedings of Methodologies and Operations of Geological Remote Sensing in Mineral Exploration, edited by H. D. Guo, Science Press, pp. 165-172, Beijing, 1995.

4.   Li, L., Applying radar imagery to geological interpretation of Qiaben gold mine district, Northwestern China, in Proceedings of Radar Analysis and Geological Application, edited by H. D. Guo et al., Science Press, pp. 108-115, Beijing, 1992.

Technical Report

1.   Li, L., D. L. Pascual, L. P. Tedesco, K. L. Randolph, R. E. Sengpiel, B. E. Hall, and J. S. Wilson, Developing a survey tool for the rapid assessment of blue-green algae in central Indiana's reservoirs, CEES Publication, Indianapolis, IN, 2006-01.

2.   Li, L., M. Babbar-Sebens, and P. Tedesco, Remote sensing of global warming-affected inland water quality: challenge, opportunity and solution, NASA HysPIRI program, Sept. 8, 2011. 

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