Pu, Ruiliang Office: Department of Environmental Science, Policy, and Management The University of California at Berkeley 151 Hilgard Hall Berkeley, Ca 94720-3110 Tel: (510) 642-1351 Fax: (510) 643-5098 E-mail: rpu@nature.berkeley.edu Internet: http://nature.berkeley.edu/~rpu EDUCATION 1997-2000 Ph.D., Cartography & Geographic Information System, conducted at Department of ESPM, UC Berkeley, Institute of Remote Sensing Application of Chinese Academy of Sciences, Beijing, China. Dissertation: An exploratory analysis on in situ hyperspectral data of conifer species 1982-1985 M.Sc., Forest Management, Remote Sensing in Forestry, Nanjing Forestry University (NFU), Nanjing, China. Thesis: Application of remote sensing techniques in forest environment analysis. 1978-1982 B.Sc., Forestry, NFU, China. Thesis: Aerial photo interpretation for bamboo resource inventory. ACADEMIC AND PROFESSIONAL INTERESTS Remote Sensing Image Analysis and Application • Multi-platform remote sensing analysis in biogeography • Extraction of biophysical and biochemical parameters • Imaging spectrometer data analysis to ecosystem science • Wildland fire hotspot detection and burnt scar mapping • Plant spectral feature extraction • Land use/cover and regional environmental change detection • Wildlife habitat classification • Forestland classification and evaluation • Forest resource inventory, estimation, management, and forecasting Geographic Information System Analysis and Application • Landscape dynamic planning and evaluating • Environmental resources management • Land systems classification • Natural resources evaluation and monitoring • Regional planning and modeling Quantitative and Computer Analysis Technologies • Multivariate and spatial statistical analysis methods • Geospatial modeling approaches • Quantitative analysis methods and application • Neural network analysis in ecosystem science • Remote sensing image processing and analysis • Computer programming in C/FORTRAN Major Analysis Softwares • Advanced PCI Geomatica and ERDAS Imagine image analysis systems • ESRI GIS analysis softwares • SAS/Matlab/Splus statistical analysis softwares EXPERIENCES Teaching 1995- Assistant Researcher, Staff Research Associate, Department of Environmental Science, Policy, and Management (ESPM), The University of California at Berkeley, California, U.S.A. Short courses, seminar and training: • ESPM 298: Advanced remote sensing of natural resources for graduate students • Hyperspectral remote sensing and its application for graduate students • Atmospheric correction to satellite imagery for graduate/under graduate students. • PCI Geomatica, Arc/Info & ArcView softwares trained to CAMFER's visitors and workers • Major GPS equipment and spectroradiometer training to CAMFER's visitors and workers • Guest lectures: Hyperspectral remote sensing in Nanjing University and Beijing Normal University, China, 30 hours each, in 1999 and 2001 respectively, for graduate students and young scholars. 1993-1994 Associate Professor, Department of Forestry, Nanjing Forestry University (NFU), Nanjing, China Courses: • Remote sensing image processing for graduate students • Remote sensing in forest management for graduate and undergraduate students • Forest resources management for undergraduate students 1985-1992 Assistant Professor, Department of Forestry, NFU, Nanjing, China Courses: • Remote sensing in forest management for undergraduate students • Forest resources management for undergraduate students Research 1995- Assistant Researcher, Staff Research Associate, ESPM, UC Berkeley • Co-PI: NASA EO-1 project, verifying EO-1 data (ALI, Hyperion, LAC) for extracting biophysical and biochemical parameters. • Monitoring of Sudden Oak Death using hyperspectral data. • Co-PI: Mapping of historical burned scars (1985 - 2000) of the North America with NOAA/AVHRR data • Investigator: Emission estimation through wildland fire hotspot detection and burnt scar mapping with NOAA/AVHRR daily data using PCI EASI scripts and modeling • PI: Tree species identification and biochemistry estimation with in situ hyperspectral data using artificial neural networks and spectral derivative techniques • PI: Irrigate tracts classification and evaluation with Landsat TM imagery • PI: Land ecosystems classification with DEM, forestry data using artificial neural networks • Co-PI: Wildlife habitat classification with Thematic Mapper data and GIS using maximum likelihood classifier and artificial neural networks • Participate: Global change research with NOAA-AVHRR 1994-1995 Visiting Research Scientist, Department of Geomatics Engineering, The University of Calgary, Canada. • PI: Evaluate the potentials of hyperspectral imagery (CASI and AVIRIS) for estimating forest canopy biochemistry • Co-PI: Correlating hyperspectral data with forest ecosystem parameters, such as LAI and crown closure. 1992-1994 Associate Professor, Remote Sensing Laboratory, NFU, Nanjing, China • Co-PI: Exploring and modeling the relationships between vegetation change information and environmental elements • PI: Assessment of forest landscape types for national parks 1990-1992 Visiting Research Scientist, Earth-Observations Laboratory, ISTS, North York, Ontario, Canada. • Investigator: The Oregon Transect Ecosystem Research project, led by NASA,USA, Analyzing the relationships between hyperspectral image (CASI and AVIRIS) and ecosystem parameters • Participate: Calibrating imaging spectrometry data 1985-1990 Assistant Professor, Remote Sensing Laboratory, NFU, Nanjing, China • Project leader and PI: Application of remote sensing techniques in protected forest in the coastal zone in China • Co-PI: Remote sensing image analysis and application in forestry • PI: Interpreting ecosystem parameters from remote sensing images 1982-1985 Research Assistant, NFU, china. • PI: Application of remote sensing techniques in forest environment analysis in southern china. Services 1997- Referee for reviewing following journals • IEEE Transactions on Geoscience & Remote Sensing (USA) 2003- • Photogrammetric Engineering & Remote Sensing (USA) 2002- • Forest Science (USA) 2002- • International Journal of Remote Sensing (UK) 1999- • Geographic Information Sciences (USA) 1997- GUEST POSITIONS 2002- • Research Professor, Institute of Natural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China. • Research Professor, National Engineering Research Center for Information Technology in Agriculture, Beijing, China. • Adjunct Professor, Department of Survey Engineering, Hehai University, Nanjing China. • Adjunct Professor, College of Forest Resources and Environment, Nanjing Forestry University, Nanjing, China. RESEARCH GRANTS (Participation or independent application) • Y. Fang National Natural Science Foundation of China Held $100,000 1980-86 R. Pu Application of Remote Sensing in Forest Site Resource Inventory • R. Pu National Natural Science Foundation of China Held $55,000 1988-89 Application of Remote Sensing to Shelter Forest in Coastal zone of China • P. Gong Forestry Canada, Research Contract Held $23,000 cdn 1993-95 R. Pu Land systems Classification • P. Gong University of California Start-up Grant Held $400,000 1993-94 R. Pu Forest yield prediction with an artificial neural network • P. Gong University of California DNAR Special Grant Held $25,000 1994-95 and G. Biging R. Pu Hyperspectral data analysis for conifer species recognition • P. Gong USDA AES Grant Held $30,000/yr. 1994-98 R. Pu Integrated analysis for multisource spatial data analysis for ecological studies • P. Gong IHRMP Grant Held $165,000 1995-99 and G. Biging R. Pu Hardwood monitoring using an airborne digital Camera integrated with a low-cost positioning/attitude reference system (will participate this project from this year) • P. Gong California Air Resource Board Held $164,000 2000-01 R. Pu Emission estimation through wildland fire hotspot detection and burnt scar mapping with NOAA/AVHRR data • P. Gong NASA EO-1 Validation Grant Held $210,000 2001-03 and G. Biging R. Pu EO-1 satellite sensors: ALI, LAC and Hyperion image data validation for extracting Biophysical and biochemistry parameters such as LAI, CC and species identification • P. Gong NASA North America Historical Fire Mapping Held $300,000 2000-03 R. Pu Historical burned scar mapping of 1985-2000 for the North American with NOAA/AVHRR data AWARDS 2001 Outstanding Service Award, The International Association of Chinese Professionals in Geographic Information Science (CPGIS) 1991 Prize of Science Technology, second place, by The Ministry of Forestry of China 1991 The best scientific paper from The Association of Remote Sensing in Jiangsu Province, China 1987 Prize of Science Technology, second place, by Jiangsu Province, China 1988 Prize of Science Technology, third place, by The Ministry of Forestry of China. PROFESSIONAL AFFILIATION Member, Association of American Geographers 2003- Member, American Society for Photogrammetry & Remote Sensing 1995- Member, The Association of Chinese Professional in GIS (Abroad) 1994- Member, Canadian Remote Sensing Society 1991- Member, Association of Environmental Remote Sensing of China 1985- Member, Association of City Construction of China 1986- PUBLICATIONS Manuscripts submitted for review: Pu, R., N. M. Kelly, G. L. Anderson and P. Gong, A multilevel classification scheme of CASI data for detecting Sudden Oak Death, submitted to Computer and Electronics in Agriculture. Gong, P. and R. Pu, Wavelet transform applied to EO-1 hyperspectral data for forest LAI and crown closure mapping, submitted to Remote Sensing of Environment. Pu, R., Q. Yu, P. Gong and G. S. Biging, EO-1 Hyperion, ALI and Landsat 7 ETM+ data comparison for estimating forest crown closure and leaf area index, submitted to International Journal of Remote Sensing. Pu, R., N. M. Kelly, Q. Chen and P. Gong , Spectroscopic determination of health levels of Coast Live Oak (Quercus agrifolia) Leaves, submitted to International Journal of Remote Sensing. Pu, R., L. Foschi, and P. Gong, Spectral feature analysis for assessment of water status and health level of coast live oak (Quercus Agrifolia) leaves, submitted to International Journal of Remote Sensing. Pu, R., P. Gong, Z.Q. Li, J. Scarborough, A dynamic algorithm for wild land burned scar detection using NOAA AVHRR data, submitted to International Journal of Wildland Fire. Gong, P., R. Pu, Z. Li, N. Clinton and Lisa M. Levien, An integrated approach to burned area mapping in California with NOAA AVHRR data, submitted to PE &RS. Refereed Articles: [43] Pu, R. and P. Gong , Determination of burnt scars using logistic regression and neural network techniques from a single post-fire Landsat-7 TM imagery, PE&RS. (in press). [42] Pu, R., P. Gong and G. S. Biging, 2003, Simple calibration of AVIRIS data and LAI mapping of forest plantation in southern Argentina, International Journal of Remote Sensing. 24(23): 4699-4714. [41] Pu, R., B. Xu, P. Gong, 2003, Oakwood crown closure estimation by unmixing of Landsat TM data, International Journal of Remote Sensing, 24(22): 4433-4445. [40] Gong, P., R. Pu, G. S. Biging and M. R. Larrieu, 2003, Estimation of forest leaf area index using vegetation indices derived from Hyperion hyperspectral data, IEEE Transactions on Geoscience and Remote Sensing, 41(6):1355-1362. [39] Pu, R., Pu, P. Gong, G. S. Biging, and M. R. Larrieu, 2003, Extraction of red edge optical parameters from Hyperion data for estimation of forest leaf area index, IEEE Transactions on Geoscience and Remote Sensing. 41(4):916-921. [38] 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 [37] Chen, J., P. Gong, C. He, R. Pu, P. Shi, 2003, Land use/cover change detection using improved change vector analysis, PR&RS, 69(4):369-379. [36] 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. [35] 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 life zone, International Journal of Remote Sensing, 24(5):1009-1027. [34] Li, Z., R. Fraser, J. Jin, A. A. Abuelgasim, I. Csiszar, P. Gong, R. Pu, and W. Hao, 2003, Evaluation of algorithms for fire detection and mapping across North America from satellite, Journal of Geophysical Research, 108(D2):4076-4089. [33] Gong, P., R. Pu, and R. C. Heald, 2002, Analysis of in situ hyperspectral data for nutrient estimation of giant sequoia, International Journal of Remote Sensing, 23(9):1827-1850. [32] Gong, P., R. Pu, and B. Yu, 2001, Conifer species recognition: effect of data transformation, International Journal of Remote Sensing, 22(17):3471-3481. [31] Tian, Q., Q. Tong, R. Pu, X. Guo, and C. Zhao, 2001, Spectroscopic determination of wheat water status using 1650-1850 nm spectral absorption features, International Journal of Remote Sensing, 22(12):2329-2338. [30] Pu, R. and P. Gong, 2000, Hyperspectral Remote Sensing and Its Applications, (a book), High Education Press, Beijing, China. [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 artificial 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. Conference Papers: [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, Retrieval 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. Shi, 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. (Updated on November 7, 2003) 5