[16] Pu, R., P. Gong, G. S. Biging and M. R. Larrieu, Estimation of forest leaf area index using vegetation indices and read edge parameters with Hyperion hyperspectral data, The Proceedings of Geoinformatics'02 Conference,, June 1-3, 2002, Nanjing, China.
[15] Pu, R., P. Gong and G. S. Biging, 2002, Leaf area index mapping using retrieved reflectance from AVIRIS data, in Proceedings of AVIRIS Workshop 2002, March 3 - 8, 2002, Los Angeles, USA.
[14] Pu, R., P. Gong, G. S. Biging and M. R. Larrieu, 2002, Retrival of surface reflectance and LAI mapping with data from ALI, Hyperion and AVITRIS, in Proceedings of IGARSS'02, June 24-28, Toronto, Canada, USA.
[13] Li, X., P. Gong; R. Pu, P. Sh, 2001, Comparison of two vegetation classification techniques in China based on NOAA/AVHRR data and climate-vegetation indices of the Holdridge life zone, IGARSS '01. IEEE 2001 International , v4:1895 –1897, Australia..
[12] Pu, R., S. Ge, N. M. Kelly, and P. Gong, 2001, Correlation analysis of hyperspectral absorption features with the water status of coast live oak leaves, in Proceedings of SPIE'01, July 29- August 3, San Diego, USA.
[11] Gong, P., R. Pu, Z. Li, and J. Scarborough, 2001, An integrated approach for wildland fire mapping in California, USA, using NOAA/AVHRR data, in Proceddings of IGARSS'01, July, 2001, Australia.
[10] Pu, R. and P. Gong, 2000, Band selection from hyperspectral data for conifer species identification, The Proceedings of Geoinformatics'00 Conference, Monterey Bay, June 21-23, 2000, pp.139-146.
[9] Pu, R., P. Gong and R. C. Heald, 1999, In situ hyperspectral data analysis for nutrient estimation of Giant Sequoia, ,IGARSS'99 Proceedings, 28 june - 2 July, 1999, Hamburg, Germany, pp.395-397.
[8] Pu, R., B. Xu, and P. Gong, 1998, Spectral analysis of conifer leaves at different ages, 1998, The Proceedings of Geoinformatics'98 Conference, Beijing, 17-19 June, 1998, pp. 221-228.
[7] Gong, P., G. S. Biging, S. M. Lee, X. Mei, Y. Sheng, R. Pu, B. Xu, K. P. Schwarz, and M. Mostafa, 1998, Photo ecometrics for forest inventory, Presented at the International Forum on Automated interpretation of High Spatial Resolution Digital Imagary for Forestry, Natural resources Canada, Canadian Forest Service, Victoria, BC, Feb. 10-12, 1998.
[6] Pu, R., Gong, P., Truex, R., Barrett, R. H., and Yang, R., 1997, Measuring the importance of input variables in neural network analysis, Proceedings of 1997 ACSM/ASPRS, Technical Paper Volume 3: Remote Sensing & Photogrammetry, April 7-10, 1997, Seattle, Washington, 727-732.
[5] Pu, R. and Gong, P., 1996, Band selection using fuzzy clustering analysis for tree species identification, Proceedings Of Geoinformatics'96, West Palm Beach, Florida USA, April 26-28, 464-471.
[4] Wang, D. X., Pu, R., Gong, P., and Yang, R., 1995, Predicting Forest Yield With An Artificial Neural Network And Multiple Regression, Proceedings Of Geoinformatics'95, Hong Kong, May 26-28, Vol. 2, 771-780.
[3] Freementle, J. R., Pu, R. and Miller, J. R., 1992, Calibration Of Imaging Spectrometer Data Of Reflectance Using Pseudo- Invariant Features, Proceedings Of The Fifteenth Canadian Symposium On Remote Sensing, Toronto, Ontario, 1-4 June, 452-457.
[2] Pu, R. and Miller, J. R. 1991, Classification And Evaluation Of A Shelter Forest Site In A Coastal Area Using Remote Sensing Techniques, Proceedings Of The Fourteenth Canadian Symposium On Remote Sensing, Calgary, Alberta, Canada, 1-4 May , 240-243.
[1] Pu, R., 1991, Remote sensing method of site resource inventory on the coastal zone, The Society of Forestry Graduate in Northern America, Freidericton, New Brunswick, Canada, February 14-18.
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