清华大学地球系统科学研究中心博士生导师简介：宫鹏

　　[52] Zhang, Q., J.Wang, P.Gong and P.Shi, 2003. Urban spatial pattern analysis from SPOT panchromatic imagery using textural analysis, International Journal of Remote Sensing. 24(21):4137-4160.

　　[51] Pu, R., P. Gong, G.S. Biging, M. Larrieu, 2003. Extraction of red edge optical parameters from Hyperion data for forest LAI estimation. IEEE Transactions on Geoscience and Remote Sensing 41(4): 916-921.

　　[50] Sun W, V. Heidt, P. Gong, G. Xu, 2003. Information fusion for land use classification from high resolution imagery, IEEE Trans. Geosci and Remote Sensing, 41(4): 883-890.

　　[49] Xu, B., P. Gong, R. Spear and E. Seto, 2003. Comparison of different gray level reduction schemes for a revised texture spectrum method for land-use classification using IKONOS imagery, Photogrammetric Engineering & Remote Sensing. 69(5):529-536.

　　[48] Pu, R., S. Ge, N.M. Kelly, P. Gong, 2003. Spectral absorption features as indicators of water status in Quercus Agrifolia leaves, International Journal of Remote Sensing. 24(9): 1799-1810.

　　[47] Xu, B., P. Gong, R. Pu, 2003. Crown closure estimation of oak savannah in a dry season with Landsat TM imagery: Comparison of Various Indices through Correlation Analysis, International Journal of Remote Sensing.. 24(9):1811-1822.

　　[46] Pan, Y., Li, X., P. Gong, C. He, P. Shi, R. Pu, 2003. An integrative classification of vegetation in China with NOAA/AVHRR and vegetation-climate indices of Holdridge's life zone, International Journal of Remote Sensing. 24(5):1009-1027.

　　[45] Chen, J., P. Gong, C. He, R. Pu, P. Shi, 2003. Land use/cover change detection using improved change vector analysis, Photogrammetric Engineering & Remote Sensing. 69(4):369-379.

　　[44] Gong, P., S. Mahler, G.S. Biging, and D. Newburn, 2003. Vineyard identification in an oak woodland landscape with airborne digital camera imagery, International Journal of Remote Sensing. 24(6):1303-1315.

　　[43] Henderson M, E. Yeh, P. Gong, C. Elvidge, K. Baugh, 2003. Validation of urban boundaries derived from night-time satellite imagery, International Journal of Remote Sensing.24(3):595-609.

　　[42] Li Z., R. Fraser, J. Jin, A.A. Abuelgasim, I. Csiszar, P. Gong, R. Pu, W. Hao. 2003. Evaluation of the algorithms used for developing a long-term fire inventory across North America and a close-look at 2000 US western fires. Journal of Geophysical Research, 108, D2, 4076 ACL20 1-22.

　　[41] Sheng Y., P. Gong, G.S. Biging, 2003. True orthoimage production from large scale aerial photographs. Photogrammetric Engineering & Remote Sensing. 69(3):259-266

　　[40] Sheng, Y., P. Gong, G.S. Biging, 2003. Model-based conifer canopy surface reconstruction from photographic imagery: from single tree to a forest stand, Photogrammetric Engineering & Remote Sensing. 69(3):249-258.

　　[39] Tian, Q., B. Xu, P. Gong, X. Wang, Q. Tong, H. Guo, 2002. Reflectance, dielectric constant and chemical contents of sedimentary rocks, Interational Journal of Remote Sensing. 23(23):5123-5128.

　　[38] Gong, P., Y. Sheng, G.S. Biging, 2002. 3D model-based tree measurement from high resolution aerial imagery, Photogrammetric Engineering & Remote Sensing, 68(11): 1203-1212. [21]

　　[37] Chen J., P. Gong, C. He, W. Luo, M. Tamura, P. Shi, 2002. Assessment of urban development plan of Beijing by using CA-based urban growth model, Photogrammetric Engineering & Remote Sensing. 68(10): 1063-1071.

　　[36] Gong, P., X. Mei, G.S. Biging Z. Zhang, 2002. Improvement of oak canopy model extracted from digital photogrammetry. Photogrammetric Engineering & Remote Sensing. 68(9): 919-924. [20]

　　[35] Zhang, Q., J. Wang, X. Peng, P. Gong and P. Shi, 2002. Urban built-up land change detection with road density and spectral information from multi-temporal Landsat TM data, International Journal of Remote Sensing. 23(15):3057-3078.

　　[34] Seto E., B. Xu, S. Liang, R. Spear, P. Gong , W. Wu, G. Davis, D. Qiu, X. Gu, 2002. The use of remote sensing for predictive modelling of schistosomiasis in China, Photogrammetric Engineering & Remote Sensing. 68(2):167-174.

　　[33] Gong, P., R. Pu, B. Heald, 2002. In situ hyperspectral data analysis for nutrient estimation of giant sequoia. IJRS. 23(9):1827-1850. [19]

　　[32] Tian, Y., P. Gong, J. Radke, and J. Scarborough, 2002, SAMC- a spatial and temporal system for analyzing microbial contaminants on grazing farmlands, Journal of Environmental Quality, 31:860-869.

　　[31] Gong, P., R. Pu, and B. Yu, 2001. Conifer species recognition: effects of data transformation and band width, IJRS. 22(17):3471-3481. [18]

　　[30] Sheng, Y., P. Gong, G.S. Biging, 2001. Model-based conifer crown surface reconstruction from high-resolution aerial images, Photogrammetric Engineering & Remote Sensing.67(8): 957-965.

　　[29] Tian, Y., R.J. Davies-Colley, and P. Gong, 2001. Estimating solar radiation on slopes of arbitrary aspect, Agricultural and Forest Meteorology.109(1):67-74.

　　[28] Tian Q., P. Gong, C. Zhao, G. Guo, 2001. A feasibility study on diagnosing wheat water status using spectral reflectance, Chinese Science Bulletin, 40(8):669-671.

　　[27] Mei, X., P. Gong, G.S. Biging, 2001. Image matching based on tracking matching paths in the similarity space, Photogrammetric Engineering & Remote Sensing, 67(4):453-460.

　　[26] Yi, C., P. Gong, Y. Qi, and M. Xu, 2001. The effect of buffer and temperature feedback on oceanic uptake of CO2, Geophysical Research Letters. 28(5):751-754.

　　[25] Sheng, Y., P. Gong, and Q. Xiao, 2001. Quantitative dynamic flood monitoring with NOAA/AVHRR, International Journal of Remote Sensing. 22(9):1709-1724.

　　[24] Xu, M., Y. Qi, P. Gong, 2000, China's new forest policy and its potential negative impacts, Science, Comment, Sept 22, 2000:2049.

　　[23] Gong, P., G. Biging, R. Standiford, 2000. The potential of digital surface model for hardwood rangeland monitoring, Journal of Range Management. 53:622-626. [17]

　　[22] Yu, B., M. Ostland, P. Gong, R. Pu, 1999. Penalized linear discriminant analysis for conifer species recognition, IEEE Transactions on Geoscience and Remote Sensing. 37(5):2569-2577.

　　[21] Gong, P., D. Wang, and S. Liang, 1999. Inverting a canopy reflectance model using an artificial neural network. International Journal of Remote Sensing. 20(1):111-122. [16]

　　[20] Yang G., M.J. Collins, P. Gong, 1998. Multisource data selection for lithologic classification with artificial neural networks, International Journal of Remote Sensing, 19(18):3675-3680.

　　[19] Gong, P., R. Pu, B. Yu, 1997. Conifer species recognition: exploratory analysis of in situ hyperspectral data. Remote Sensing of Environment. 62:189-200. [15]

　　[18] Gong, P., R. Pu, and J. Chen, 1996. Mapping ecological land systems and classification uncertainty from digital elevation and forest cover data using neural networks, Photogrammetric Engineering and Remote Sensing, 62(11):1249-1260. [14]

　　[17] Gong, P., 1996. Integrated analysis of spatial data from multiple sources: using evidential reasoning and an artificial neural network for geological mapping, Photogrammetric Engineering and Remote Sensing 62(5): 513-523. [13]

　　[16] Gong, P., R. Pu, and J.R. Miller, 1995. Coniferous forest leaf area index estimation along a transect in Oregon using Compact Airborne Spectrographic Imager data. Photogrammetric Engineering and Remote Sensing 61(9):1107-1117. [12]

　　[15] Gong, P., J.R.Miller, and M. Spanner, 1994. Forest canopy closure from classification and spectral unmixing: a multi-sensor evaluation of application to an open canopy, IEEE Trans. on Geos. and Remote Sens. 32(5): 1067-1080. [11]

　　[14] Gong, P., 1994. Reducing boundary effects in a kernel-based classifier. International Journal of Remote Sensing, 15(5):1131-1139. [10]

　　[13] Chen, J., P. Gong, R. Newkirk, and G. Davidson. 1994. The design and development of a knowledge-based geographical information system for zoning. Environment Planning B, Planning and Design. 21:179-190.

　　[12] Spanner, M., Johnson, L., Miller, J., McCreight, R., Freemantle, J., Runyon, J., Gong, P., 1994, Remote sensing of seasonal leaf area index across the Oregon transect, Ecological Applications, 4(2):258-271.

　　[11] Schwarz, K.P., M.A. Chapman, M.E. Cannon, and P. Gong, 1993. An integrated INS/GPS approach to the georeferencing of remotely sensed data. Photogrammetric Engineering and Remote Sensing, 59(11): 1667-1674.

　　[10] Gong, P. and P. J. Howarth, 1992. Land-use classification of SPOT HRV data using a cover-frequency method. International Journal of Remote Sensing, 13(8):1459-1471. [9]

　　[9] Gong, P., D. Marceau, and P. J. Howarth, 1992. A comparison of spatial feature extraction algorithms for land-use mapping with SPOT HRV data. Remote Sensing of Environment, 40:137-151. [8]

　　[8] Gong, P., E. F. LeDrew, and J. R. Miller, 1992. Registration noise reduction in difference images for change detection. International Journal of Remote Sensing, 13(4):773-779. [7]

　　[7] Gong P. and P. J. Howarth, 1992. Frequency-based contextual classification and grey-level vector reduction for land-use identification. Photogrametric Engineering and Remote Sensing, 58(4):423-437. [6]

　　[6] Treitz, P. M., P. J. Howarth and P. Gong, 1992. Land-cover and land-use mapping at the rural-urban fringe using satellite and GIS techniques. Photogrametric Engineering and Remote Sensing, 58(4):439-448.

　　[5] Gong, P. and D. J. Dunlop, 1991. Comments on Skidmore and Turner's supervised nonparametric classifier, Photogrametric Engineering and Remote Sensing, 57(1):1311-1313.

　　[4] Gong, P. and P. J. Howarth, 1990. A graphical approach for evaluation of land-cover classification procedures, International Journal of Remote Sensing, 11(5):899-905.

　　[3] Gong, P. and P. J. Howarth, 1990. An assessment of some factors influencing multispectral land-cover classification, Photogrametric Engineering and Remote Sensing, 56(5):597-603.

　　[2] Gong, P. and P. J. Howarth, 1990. The use of structural information for improving land-cover classification accuracies at the rural-urban fringe. Photogrametric Engineering and Remote Sensing , 56(1):67-73.

　　[1] Gong, P. and P. J. Howarth, 1989. Performance analyses of probabilistic relaxation methods for land-cover classification, Remote Sensing of Environment, 30:33-42.