[29] Yu, B., M. Ostland, P. Gong, and R. Pu, 1999, Penalized linear discriminant analysis of in situ hyperspectral data for conifer species recognition, IEEE Transactions on Geoscience and Remote Sensing, 37(5):2569-2577.
[28] Pu, R., P. Gong, and R. Yang, 1999, Forest yield prediction with an artifical neural network and multiple regression, Chinese Journal of Applied Ecology, 10(2):129-134.
[27] Gong, P., G. S. Biging, S. M. Lee, X. Mei, Y. Sheng, R. Pu, B. Xu, K. P. Schwarz, and M. Mostafa, 1999, Photo ecometrics for forest inventory, Geographic Information Sciences, 5(1):9-14.
[26] Pu, R., 1998, Hyperspectral remote sensing in vegetation (1-03-12), in Cheng, S. Ed., Dictionary of Earth System Science, Science Press, Beijing, China, pp. 180-181.
[25] Pu, R. and P. Gong, 1998, Predicting land-cover changes with gray systems theory and multitemporal aerial photographs, Geographic Information Sciences, 4(1-2):73-79.
[24] Gong, P., R. Pu, and B. Yu, 1998, Conifer species recognition with seasonal hyperspectral data, Journal of Remote Sensing, China, 2(3):211-217.
[23] Gong, P., R. Pu, and B. Yu, 1997, Conifer species recognition: an exploratory analysis of in situ hyperspectral data, Remote Sens. Environ., 62:189-200.
[22] Pu, Ruiliang and Peng Gong, 1997, Relationships between forest biochmical concentrations and CASI data along the Oregon Transect, Journal of Remote Sensing, China, 1(2):115-123.
[21] Gong P., R. Pu, J. Chen, 1996, Mapping ecological land systems and classification uncertainties from digital elevation and forest-cover data using neural networks, P. E. & R. S., 62(11):1249-1260.
[20] Gong, P., P. Shi, R. Pu, and H. Guo, 1996, Earth Observation Techniques and Earth System Science, (a book) Science Press, Beijing, China.
[19] Gong, P., Pu, R., and Miller, J. R., 1995, Coniferous forest leaf area index estimation along the Oregon Transect using Compact Airborne Spectrographic Imager data, P. E. & R. S., 61(9):1107-1117.
[18] Matson, P. A., Johnson, L. F., Billow, C. B., Miller, J. R., and Pu, R., 1994, Seasonal patterns and remote spectral estimation of canopy chemistry across the Oregon Transect, Ecol. Appl., 4(2):280-298.
[17] Pu, R., Yang, J., Liu, Y., Wan, Z., and Li, M., 1994, Tabulation of quantification color infrared aerial photo site-index for Pinus Massoniana In Mt. Zijin, J. Of Zhejiang Forestry College. China, 11(1):64-68.
[16] Pu, R., Gong, P., and Miller, J. R., 1993, Spectral Derivative Analysis For Ponderosa Pine Leaf Area Index Estimation, Remote Sensing Of Environment, China, 8(2):112-125.
[15] Pu, R., Wang, H. and Hu, J., 1993, An experiment on the use of color infrared aerial photo in forest ecology, J. Of South-Center Forestry Inventory Of China, (4):50-53.
[14] Pu, R., Gong, P. and Miller, J. R., 1993, Estimation of coniferous forest leaf area index along the Oregon Transect using CASI data, J. Of Nanjing Forestry University(NFU), China, 17(1):41-48.
[13] Pu, R., 1993, Using remote sensing imageries for mapping protected forest site-type on the coastal zone, J. Of South-Center Forestry Inventory Of China, (1): 56-60.
[12] Gong, P., Pu, R. and Miller, J. R., 1992, Correlating leaf area index of ponderosa pine with hyperspectral CASI data, Canadian J. Of R. S., 18(4): 275-282.
[11] Pu, R. and Fang, Y., 1992, Application of remote sensing techniques to forest site survey, Geocarto International, 7(3):19-24.
[10] Pu, R., 1992, A discussing on application of remote sensing techniques for forest site classification and appraisal on the coast in China, J. Of South-Center Forestry Inventory Of China, (1):51-54.
[9] Pu, R. and Miller, J. R. 1991, Classification and evaluation of a shelter forest site in a coastal area using remote sensing techniques, Canadian J. Of R. S., 17(4):323-331.
[8] Pu, R. and Wang, Y. 1990, Site classification and evaluation on a coastal area of rock-estuary using aerial photo, J. Of South-Center Forestry Inventory Of China, (4):39-46.
[7] Pu, R., Wang, X., Zheng, X., Ding, Y., Zhang J. and Hu, J., 1990, Application of remote sensing Techniques in protected forest site classification and evaluation on the coast In China, J. Of NFU , China,14(3):7-14.
[6] Pu, R., 1990, Methodology of extracting optimal site information from Landsat-TM remote sensing images, J. Of Fujian College Of Forestry, China, 10(2):152-158.
[5] Pu, R., 1987, Application of remote sensing techniques in forest site survey, J. of NFU, China, 11(4):39-47.
[4] Pu, R. and Zhu, Z., 1987, Application of aerial photography to the inventory of bamboo resources, Bamboo Research, China, (2):44-51.
[3] Pu, R., 1987, An experiment of fuzzy clustering analysis for forest site classification by aerial photo Interpretation, J. Of Forest Resource Management, China, (1):41-46.
[2] Pu, R., 1986, An experiment on the use of aerial photographs in forest soil classification, J. Of South-Center Forestry Inventory Of China, (4), 19-22.
[1] Pu, R., 1985, A study of the effects of environment conditions on aerial seeding forest using photo Interpretation methods, J. Of South-Center Forestry Inventory Of China, (1):1-6.
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