Ruiliang Pu, PhD

Associate Professor

School of Geosciences

College of Arts and Sciences

University of South Florida

 

4202 E. Fowler Ave., NES 107
Tampa, FL 33620
Tel: (813) 974-1508
Fax: (813) 974-4808
Email
: rpu@usf.edu
http: //rpu.myweb.usf.edu/

Description: D:\RPu_web_page_files\PU_24.JPG

 


[General Information]

Dr. Ruiliang Pu received an M.Sc (1985) from Nanjing Forestry University (NFU), China, and earned a Ph.D. (Cartography & Geographic Information System, 2000), conducted at University of California (UC) at Berkeley, from Chinese Academy of Sciences.  He was a visiting scholar between 1990-1991 in Institute for Space and Terrestrial Sciences, Ontario, Canada.  Then he was an Associate Professor with Department of Forestry, NFU. He was a visiting scholar at The University of Calgary, Canada, in 1994. He moved to the United States in 1995.  He was a Research Associate later on an Assistant Researcher at UC Berkeley between 1995 and 2005.  He has worked for one year as a Visiting Research Scientist with Earth System Science Interdisciplinary Center, University of Maryland at College Park before moving to University of South Florida (USF) in 2006.  He has published more than 82 journal papers, book chapters and segments in English and more than 24 journal papers and books in Chinese.  He has been awarded the science and technology prizes three times by the Chinese government between 1986 and 1991 because of his excellent research achievements. He has been a reviewer of USA NASA, Canada NSERC and Belgian Science Policy research proposals and more than 20 journals’ papers.

He is currently an Associate Professor with the School of Geosciences, USF and his research experience and interests are in remote sensing, GIS and spatial statistics with direct applications to natural hazard monitoring, land use/cover change detection, biophysical and biochemical parameters extraction, and coastal and terrestrial ecosystems modeling.  His current research interests are in mapping and characterization of seagrass habitats using spacecraft observations and urban environmental studies using thermal and optical remote sensing data with an emphasis on analysis of high spatial and spectral resolution satellite imagery.

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[Education]

·         2000: Ph.D., Cartography & Geographic Information System, conducted at UC Berkeley, and Chinese Academy of Sciences.
Dissertation: An exploratory analysis on in situ hyperspectral data of conifer species

·         1985: M.Sc., Forest Management, Remote Sensing in Forestry, Nanjing Forestry University (NFU), Nanjing, China.
Thesis: Application of remote sensing techniques in forest environment modeling.

·         1982: B.Sc., Forestry, NFU, Nanjing, China.
Essay: Aerial photo interpretation for bamboo resource inventory.

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[Professional Interests]

Remote Sensing Image Analysis and Application

• Multi-platform remote sensing analysis in biogeography

                        • Wildland fire hotspot detection and burn scar mapping

                        • Retrieval of land surface temperature (LST) from thermal sensors

• Imaging spectrometer data analysis to surface process modeling

• Urban ecological analysis

• Seagrass mapping and characterization

                        • Environmental modeling

                        • Land use/cover change detection

• Invasive species mapping and monitoring

                        • Forestland classification and evaluation

Geographic Information System Analysis and Application

                        • Landscape dynamic planning and evaluating

                        • Environmental resources management

                        • Land systems classification

                        • Natural resources evaluation and monitoring

                        • Watershed 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 environmental science

                        • Remote sensing image processing and analysis

                        • Computer programming in C(VC, C++)/FORTRAN

Major Analysis Softwares

                        • Advanced PCI Geomatica, ERDAS Imagine, & ENVI image analysis systems

                        • ESRI ArcGIS analysis softwares

                        • SAS/Matlab/SPSS/Splus statistical analysis softwares

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[Work Experience]

Teaching

2012-               Associate Professor, Department of Geography, Environment, and Planning, University of South Florida

2006 -2012      Assistant Professor, Department of Geography, University of South Florida, courses:

·         Remote Sensing of the Environment at undergraduate level

·         Advanced Remote Sensing at graduate level

·         Research Methods in Geography at undergraduate level

·         Readings in Remote Sensing at graduate level

·         Environmental Applications of GIS at graduate level

1995-2005       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:

·         PubHlth/ESPM290: Remote sensing and GIS in public health for undergraduate students

·         ESPM298: Advanced remote sensing in natural resources for graduate students

·         Hyperspectral remote sensing and its application for graduate students

·         Atmospheric correction to satellite imagery for graduate students.

·         PCI EASI/PACE, Arc/Info & ArcView softwares trained to CAMFER’s visitors and workers           

·         Major GPS equipment and spectroradiometer trained 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, NFU, Nanjing, China

·         Remote sensing image processing for graduate students

·         Remote sensing in natural resources for graduate and undergraduate students

·         Forest resource management for undergraduate students

1985-1992: Assistant Professor, Department of Forestry, NFU, Nanjing, China

·         Remote sensing in natural resource for undergraduate students

·         Forest management for undergraduate students

·         Forest mensuration for undergraduate students

Thesis/dissertation Advisor

2006-

Graduated master thesis:

Cynthia Meyer, master thesis committee director (Fall 2008)

Bruce Mitchell, master thesis committee co-director (Summer 2011)

Fenqing Weng, master thesis committee director (Summer 2012)

James Anderson, master thesis committee member (Summer 2012)

 

Graduated PhD dissertation:

JoAnn Sullivan, doctoral dissertation committee member (Summer 2010)

 

Current master thesis:

Deborah Dennison, master thesis committee director

Scott Evans, master thesis committee director

Kathleen Farr, master thesis committee director

 

Current PhD dissertation:

Cynthia Meyer, doctoral dissertation committee director

George Kish, doctoral dissertation committee director

Shawn Landry, doctoral dissertation committee member

Sandra Kling, doctoral dissertation committee member

Jun Cheng, doctoral dissertation committee member

Research

2006-         Assistant Professor, Associate Professor, School of Geosciences

University of South Florida.

o    Predicting i-Tree Ecosystem Services from Remote Sensing Metrics

o    Co-PI: Mapping and Characterization of Seagrass Habitats Using Spacecraft Observations

o    PI: Tree species identification in Tampa Bay, FL, with hyperspectral data

o    Co-PI: Urban ecological analysis (Tampa, FL).

o    PI: Development of Fire Algorithm with GOES-R ABI Simulated Data

o    Co-principal investigator: Wildfire detection and monitoring using polar orbiting environmental satellite data (e.g., NOAA/AVHRR and EOS/MODIS data)

o    PI: Urban environmental studies using thermal and optical remote sensing data

o    PI: invasive species detection and evaluation in a terrestrial ecosystem using hyperspectral data

2005-2006:      Visiting Research Scientist, Earth System Science Interdisciplinary Center, University of Maryland at College Park.

o    Co-principal investigator: Wildfire detection and monitoring using polar orbiting environmental satellite data (e.g., NOAA/AVHRR and EOS/MODIS data)

1995-2005:      Research Associate, Department of Environmental Science, Policy, and Management, The University of California at Berkeley, California, U.S.A.

o    Co-principal investigator: Monitoring of Sudden Oak Death and invasive species mapping using hyperspectral measurements and airborne hyperspectral data (CASI)

o    Co-principal investigator: EO-1 and Landsat imageries analysis for monitoring California's conifer forest and hardwood rangeland

o    Co-principal investigator: Mapping of historical burn scars (1985 - 2000) of the entire North America with NOAA/AVHRR data

o    Co-principal investigator: Emission estimation through wildland fire hotspot detection and burn scar mapping with NOAA/AVHRR daily data using PCI EASI scripts and modelling

o    Principal investigator: Land ecosystems classification with DEM, forestry data using artificial neural networks

o    Principal investigator: Tree species identification and biochemistry estimation with hyperspectral data using artificial neural networks and spectral derivative techniques

o    PI: Irrigate tracts classification and evaluation with Landsat TM imagery

o    Co-principal investigator: Wildlife habitat classification with Thematic Mapper data and GIS using classifiers: maximum likelihood classifier and artificial neural networks

o    Participate: Global change research with NOAA-AVHRR

1994-1995: Visiting Research Scientist, Department of Geomatics Engineering, The University of Calgary, Canada.

o    Principal investigator: Evaluate the potentials of hyperspectral imagery (CASI and AVIRIS) for estimating forest canopy biochemistry

o    Co-principal investigator: Correlating hyperspectral data with forest ecosystem parameters

1992-1994: Associate Professor, Remote Sensing Laboratory, NFU, Nanjing, China

o    Co-principal investigator: Exploring and modeling the relationships between vegetation change information and environmental elements

o    Principal investigator: Research on forest landscape types in assessing national parks

1990-1992: Visiting Research Scientist, Earth Observations Laboratory, ISTS, North York, Ontario, Canada.

o    Participate: The Oregon Transect Ecosystem Research project, led by NASA, USA, Analyzing the relationships between hyperspectral data and ecosystem parameters

o    Participate: Calibrating imaging spectrometry data

o    Principal investigator: Developing software code for calculating and mapping leaf area index from hyperspectral data coupling with PCI EASI/PACE image processing system

1985-1990: Assistant Professor, Remote Sensing Laboratory, NFU, Nanjing, China

o    Project leader and principal investigator: Application of remote sensing techniques in protected forest on the coastal zone in China

o    Co-principal investigator: Remote sensing image analysis and applied in forestry

o    Principal investigator: Interpreting ecosystem parameters from remote sensing images

o    Principal investigator: Natural resource inventory study

1982-1985: Research Assistant, NFU, china.

o    Principal investigator: Application of remote sensing techniques in forest environment survey in southern china.

Services

1997-               Referee for reviewing following journals

• Ecological Modelling (USA).                                                           2008-

• IEEE Geoscience and Remote Sensing Letters (USA).                  2008-

• IEEE Journal of Selected Topics in Earth Observations and Remote Sensing ( USA).      2008-

• Journal of Applied Remote sensing (USA).                                     2008-

•  Computers and Electronics in Agriculture                                      2007-

•  ISPRS Journal of Photogrammetry and Remote Sensing               2007-

•  Canadian Journal of Remote Sensing (Canada)                              2007-

•  Environmental Monitoring and Assessment (Netherlands)            2006-

                        •  Remote Sensing of Environment (USA)                                         2004-

                        •  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-  

•  International Journal of Digital Earth (China)                                2008-  

                        •  International Journal of Wildland Fire (Australia)                          2008-  

                        •  The Professional Geographer (USA)                                               2009-  

                        •  Annals of the Association of American Geographers (USA)         2010-

                        •  Journal of Earth Science and Engineering (JESE, USA).               2013-

                        •  Crop Science (USA)                                                                        2013-

                        •  Environmental Management (USA)                                                2013-  

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[Awards and Grants]

Awards

o    2001: Outstanding Service Award, The International Association of Chinese Professionals in GIS

o    1991: Prize of Science Technology, second place, by the Ministry of Forestry of China

o    1991: The best scientific paper from The Association of Remote Sensing in Jiangsu Province, China

o    1987: Prize of Science Technology, second place, by Jiangsu Province, China

o    1988: Prize of Science Technology, third place, by the Ministry of Forestry of China

Research Grants

After moving to USF (2006-):

• R. Pu                    NOAA-UMD, USA                                                                              Held       $20,000                 2007-09

                                Development of Fire Algorithm with GOES-R ABI Simulated Data

 

• R. Pu                    Internal Award, USF                                                                           Held       $6,953                   2007-08

                                Hyperspectral and High Spatial Resolution Data Analysis for mapping Tree Canopy

 

• Shawn Landry   City of Tampa, FL                                                                              Held       $100,000               2007-08

  R. Pu (Co-PI)      City of Tampa Urban Ecological Analysis

 

• R. Pu                    Patel Center for Global Solutions, USF                                           Held       $1,000                   2008

                                International travel funds from The Dr. Kiran C. Patel Center for Global Solutions, USF

 

• R. Pu                    CAS, USF                                                                                              Held       $1,000                   2009

                                Faculty Research & Development Grant

 

• Susan Bell (PI)   NASA, USA                                                                                          Held       $359,539               2009-13

  R. Pu (Sci. PI) Mapping and Characterization of Seagrass habitats Using Spacecraft Observations

 

• Shawn Landry   City of Tampa, FL                                                                              Held       $250,000               2010-13

  R. Pu (Co-PI)      City of Tampa Urban Ecological Analysis and Management Plan 2010-2012

 

• Shawn Landry   USFS, USA                                                                                            Held       $45,978                 2014-15

 R. Pu (Co-PI)       Predicting i-Tree Ecosystem Services from Remote Sensing Metrics

 

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[Professional Affiliations]

·         2005- American Geophysical Union (AGU)

·         2003- Association of American Geographers (AAG)

·         1995- American Society of Photogrammetry and Remote Sensing (ASPRS)

·         1994- Chinese Professionals on Geographic Information systems Abroad (CPGIS)

·         1991- Canadian Remote Sensing Society

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[Publications]

· Refereed Articles:

[77] Gong, Z., T. Cuia, and R. Pu, 2015. Simulating a dynamic succession of vegetation abundance in a reservoir riparian zone using a sub-pixel markov model. International Journal of Applied Earth Observation and Geoinformation, (in press).

[76] Pu, R., S. Bell, and C. Meyer, 2014. Mapping and Assessing Seagrass Bed Changes in Central Florida’s West Coast Using Multitemporal Landsat TM Imagery. Estuarine, Coastal and Shelf Science, 149: 68-79. DOI: 10.1016/j.ecss.2014.07.014

[75] Zhang, J., R. Pu, L. Yuan, C. Nie, and G. Yang, 2014. Integrating remotely sensed and meteorological observations to forecast wheat powdery mildew at a regional scale. Journal of Selected Topics in Applied Earth Observations and Remote Sensing. (in press). DOI: 10.1109/JSTARS.2014.2315875

[74] Zhang, J., R. Pu, L. Yuan, C. Zhao, J. Wang, W. Huang, and G. Yang, 2014, Monitoring powdery mildew of winter wheat by using moderate resolution multi-temporal satellite imagery. PLOS ONE, 9(4): e93107. doi:10.1371/journal.pone.0093107

[73] Wang, H., J. Gao, R. Pu, L. Ren, Y. Kong, H. Li, and L. Li, 2014, Natural and anthropogenic influences on a red-crowned crane habitat in the Yellow River Delta Natural Reserve, 1992-2008. Environmental Monitoring and Assessment 186:4013-4028.

[72] Liu, L., W. Huang, R. Pu, and J. Wang, 2014, Detection of internal leaf structure deterioration using a new spectral ratio index in the near-infrared shoulder region. Journal of Integrative Agriculture 13(4): 760-769

[71] Pu, R., S. Bell, and D. English, 2014. Developing hyperspectral vegetation indices for identifying seagrass species and cover classes. Journal of Coastal Research, (in press). DOI: 10.2112/JCOASTRES-D-12-00272.1

[70] Yang, G., R. Pu, C. Zhao, X. Xue, 2014. Estimating high spatiotemporal resolution evapotranspiration over a winter wheat field using an IKONOS image based complementary relationship and Lysimeter observations. Agricultural Water Management, 133:34-43.

[69] Zhang, J., L. Yuan, R. Pu, R. W. Loraamm, and J. Wang, 2014. Comparison between wavelet spectral features and conventional spectral features in detecting yellow rust for winter wheat. Computers and Electronics in Agriculture, 100:79-87.

[68] Pu, R.; and S. Bell, 2013. A protocol for improving mapping and assessing of seagrass abundance along the West Central Coast of Florida using Landsat TM and EO-1ALI/Hyperion images. ISPRS Journal of Photogrammetry and Remote Sensing, 83:116–129.

[67] Weng, F. and R. Pu, 2013, Mapping and Assessing of Urban Impervious Areas Using Multiple Endmember Spectral Mixture Analysis: A Case Study in the City of Tampa, Florida. Geocarto International, 28(7):594-615.DOI: 10.1080/10106049.2013.764355.

[66] Yang, G., R. Pu, J. Zhang, C. Zhao, H. Feng, and J. Wang, 2013. Remote sensing of seasonal variability of fractional vegetation cover and its object-based spatial pattern analysis over mountain areas. ISPRS Journal of Photogrammetry and Remote Sensing, 77:79-93.

[65] Zhao, Y., R. Pu, S. Bell, C. Meyer, L. Baggett, and X. Geng, 2013, Hyperion image optimization in coastal waters. IEEE Transactions on Geoscience and Remote Sensing, 51(2):1025-1036. DOI:10.1109/TGRS.2012.2205262.

[64] Pu, R.; Bell, S.; Meyer, C.; Lesley Baggett, L., and Zhao, Y., 2012. Mapping and Assessing Seagrass Habitats Using Satellite Imagery. Estuarine, Coastal and Shelf Science, 115: 234-245. http://dx.doi.org/10.1016/j.ecss.2012.09.006. 

[63] Zhang, J., R. Pu, W. Huang, J. Luo and J. Wang, 2012, Using hyperspectral remote sensing for detecting and discriminating yellow rust disease from nutrient stresses, Field Crop Research, 134:165-174.

[62] Pu, R., and S. Landry, 2012, A comparative analysis of high resolution IKONOS and WorldView-2 imagery for mapping urban tree species. Remote Sensing of Environment,124:516-533.

[61] Pu, R., S. Bell, L. Baggett, C. Meyer1, and Y. Zhao, 2012, Discrimination of seagrass species and cover classes with in situ hyperspectral data. Journal of Coastal Research, 28(6):1330-1344, DOI: 10.2112/JCOASTRES-D-11-00229.1

[60] Pu, R., 2012, Mapping leaf area index over a mixed natural forest area using ground-based measurements and Landsat TM imagery. International Journal of Remote Sensing 33(20): 6600–6622

[59] George Xian, Collin Homer, Brett Bunde, Patrick Danielson, Jon Dewitz, Joyce Fry & Ruiliang Pu 2012, Quantifying urban land cover change between 2001 and 2006 in the Gulf of Mexico region, Geocarto International, 27(6): 479–497, DOI:10.1080/10106049.2011.652675

[58] Zhang, J., R. Pu, J. Wang, and W. Huang, 2012, Detecting powdery mildew of winter wheat using leaf level hyperspectral measurements, Computers and Electronics in Agriculture, 85:13-23

[57] Meyer, C. and R. Pu, 2012, Assessment of Seagrass Resources using Remote Sensing Methods in St. Joseph Sound and Clearwater Harbor, Florida, U.S.A. Environmental Monitoring and Assessment 184:1131–1143.

[56] Pu, R., 2012, Comparing canonical correlation analysis with partial least square regression in estimating forest leaf area index with multitemporal landsat TM imagery, GIScience & Remote Sensing, 49(1): 92–116. DOI: 10.2747/1548-1603.49.1.92

[55] Okwen, R. T., R. Pu, and J. A. Cunningham, 2011, Remote sensing of temperature variations around major power plants as point sources of heat. International Journal of Remote Sensing, 32(13): 3791-3805, doi.org/10.1080/01431161003774723.

[54] Pu, R., S. Landry, and Q. Yu, 2011, Object-Based Urban Detailed Land Cover Classification with High Spatial Resolution IKONOS Imagery. International Journal of Remote Sensing, 32(12): 3285-3308, doi.org/10.1080/01431161003745657.

[53] Pu, R. and D. Liu, 2011, Segmented canonical discriminant analysis of in situ hyperspectral data for identifying thirteen urban tree species. International Journal of Remote Sensing, 32(8):2207-2226, DOI: 10.1080/01431161003692040.

[52] Sun Y., H. Gong, X. Li, R. Pu, and S. LI, 2011, Extracting eco-hydrological information of inland wetland from L-band synthetic aperture Radar image in Honghe National Nature Reserve, northeast China. Chin. Geogra. Sci., 21(2):241-248, doi: 10.1007/s11769-011-0460-6.

[51] Yang, G., R. Pu, C. Zhao, W. Huang, and J. Wang, 2011, Estimation of subpixel land surface temperature using an endmember index based technique: A case examination on ASTER and MODIS temperature products over a heterogeneous area, Remote Sensing of Environment, 115:1202-1219.

[50] Pu, R., 2011, Mapping urban forest tree species using IKONOS imagery: Preliminary results. Environmental Monitoring and Assessment, 172: 199-214, DOI 10.1007/s10661-010-1327-5.

[49] Yang, G., R. Pu, W. Huang, J. Wang, and C. Zhao, 2010, A novel method to estimate subpixel temperature by fusing solar-reflective and thermal-infrared remote-sensing data with an artificial neural network. IEEE Transactions on Geoscience and Remote Sensing, 48(4):2170-2178.

[48] Landry, S. & R. Pu, 2010, The impact of land development regulation on residential tree cover: an empirical evaluation using high resolution IKONOS imagery, Landscape and Urban Planning, 94: 94–104.

[47] Song, X. J. Wang, W. Huang, L. Liu, G. Yan, & R. Pu, 2009, The delineation of agricultural management zones with high resolution remotely sensed data. Precision Agric., 10:471–487.

[46] Pu, R., 2009, Broadleaf Species Recognition with In Situ Hyperspectral Data, International Journal of Remote Sensing, 30(11):2759-2779.

[45] Yu, Q., P. Gong, Y.Q. Tian, and R. Pu, 2008, Factors affecting spatial variation of classification uncertainty in an object-based vegetation mapping, Photogrammetric Engineering and Remote Sensing, 74(8):1007-1018.

[44] Pu, R., P. Gong, and Q. Yu, 2008, Comparative Analysis of EO-1 ALI and Hyperion, and Landsat ETM+ Data for Mapping Forest Crown Closure and Leaf Area Index, Sensors, 8:3744-3766, DOI:10.3390/s8063744.

[43] Liu, D. and R. Pu, 2008, Downscaling Thermal Infrared Radiance for Subpixel Land Surface Temperature Retrieval, Sensors, 8:2695-2700.

[42] Pu, R., P. Gong, Y. Tian, X. Miao and R. Carruthers, 2008, Using Classification and NDVI Differencing Methods for Monitoring Sparse Vegetation Coverage: A Case Study of Saltcedar in Nevada, USA, International Journal of Remote Sensing. 29(14):1987-4011.

[41] Pu, R., P. Gong, R. Michishita, and T. Sasagawa, 2008, Spectral Mixture Analysis for Mapping Abundance of Urban Surface Components from the Terra/ASTER Data, Remote Sensing of Environment. 112:939-954.

[40] Pu, R., N. M. Kelly, Q. Chen and P. Gong, 2008, Spectroscopic determination of health levels of Coast Live Oak (Quercus agrifolia) Leaves, Geocarto International. 23(1):3-20.

[39] Pu, R., M. Kelly, G. L. Anderson and P. Gong, 2008, Using CASI hyperspectral imagery to detect mortality and vegetation stress associated with a new hardwood forest disease, PE&RS. 74(1):65-75.

[38] Pu, R., P. Gong, Y. Tian, X. Miao and R. Carruthers, 2008, Invasive Species Change Detection Using Artificial Neural Networks and CASI Hyperspectral Imagery, Environmental Monitoring and Assessment. 140:15-32, DOI 10.1007/s10661-007-9843-7.

[37] Miao, X., P. Gong, R. Pu, R. I. Carruthersc, J. S. Heatond, 2007, Applying Class-based Feature Extraction Approaches for Supervised Classification of Hyperspectral Imagery, Canadian Journal of Remote Sensing. 33(3):162-175.

[36] Miao, X., P. Gong, S. Swope, R. Pu, R. Carruthers, G. L. Anderson, 2007, Detection of Yellow Starthistle through Band Selection and Feature Extraction from Hyperspectral Imagery, PE &RS. 73(9):1005-10015

[35] Pu, R., Z. Li, P. Gong, I. Csiszar, R. Fraser, W.-M. Hao, S. Kondragunta, and F. Weng, 2007,  Development and Analysis of a 12-year Daily 1-km Forest Fire Data across the North America from NOAA/AVHRR Data, Remote Sensing of Environment. 108:198-208.

[34] Pu, R., P. Gong, R. Michishita, and T. Sasagawa, 2006, Assessment of Multi-Resolution and Multi-Sensor Data for Urban Surface Temperature Retrieval, Remote Sensing of Environment. 104:211-225.

[33] Miao, X., P. Gong, S. Swope, R. Pu, R. Carruthers, G. L. Anderson, J. S. Heaton and C. R. Tracy, 2006, Estimation of yellow starthistle abundance through CASI-2 hyperspectral imagery using linear spectral mixture models, Remote Sensing of Environment. 101(3):329-341.

[32] Gong, P., R. Pu, Z. Li, N. Clinton and Lisa M. Levien, 2006, An integrated approach to wildland fire mapping of California, USA using NOAA/AVHRR data, PE & RS, 72(2):139-150.

[31] Pu, R., Q. Yu, P. Gong and G. S. Biging, 2005, EO-1 Hyperion, ALI and Landsat 7 ETM+ data comparison for estimating forest crown closure and leaf area index, International Journal of Remote Sensing, 26(3):457-474.

[30] Clinton, N., P. Gong and R. Pu, 2004, Evaluation of wildfire mapping with NOAA/AVHRR data by land cover types and eco-regions in California, Geographic Information Sciences, 10(1):10-19.

[29] Pu, R., L. Foschi, and P. Gong, 2004, Spectral feature analysis for assessment of water status and health level of coast live oak (Quercus Agrifolia) leaves, International Journal of Remote Sensing, 25(20):4267-4286.

[28] Pu, R., P. Gong, Z.Q. Li, J. Scarborough, 2004, A dynamic algorithm for wild land burned scar detection using NOAA AVHRR data, International Journal of Wildland Fire, 13:275-285.

[27] Pu, R. and P. Gong , 2004, Determination of burnt scars using logistic regression and neural network techniques from a single post-fire Landsat-7 TM imagery, PE&RS, 70(7): 841-850.

[26] Pu, R. and P. Gong, 2004, Wavelet transform applied to EO-1 hyperspectral data for forest LAI and crown closure mapping, Remote Sensing of Environment, 91:212-224.

[25] Pu, R. and P. Gong, 2003, Spectral feature analysis for estimation of water status of coast live oak (Quercus agrofolia) leaves, Journal of Remote Sensing (China), Supplement, 7:165-173.

[24] Gong, P. and R. Pu, 2003, LAI mapping with surface reflectance retrieved from ALI, Hyperion and AVIRIS, Journal of Remote Sensing (China), Supplement, 7:174-187.

[23] 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.

[22] 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.

[21] 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.

[20] Pu, R., 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.

[19] 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

[18] 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.

[17] 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.

[16] 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.

[15] 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.

[14] 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.

[13] Gong, P., R. Pu, and B. Yu, 2001, Conifer species recognition: effect of data transformation, International Journal of Remote Sensing, 22(17):3471-3481.

[12] 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.

[11] Pu, R. and P. Gong, 2000, Band selection from hyperspectral data for conifer species identification, Geographic Information Sciences, 6(2):137-142.

[10] 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.

[9] 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.

[8] 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.

[7] 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.

[6] 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.

[5] 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.

[4] 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.

[3] Gong, P., Pu, R. and Miller, J. R., 1992, Correlating leaf area index of ponderosa pine with hyperspectral CASI data, Canadian J. of Remote Sensing, 18(4): 275-282.

[2] Pu, R. and Fang, Y., 1992, Application of remote sensing techniques to forest site survey, Geocarto International, 7(3):19-24.

[1] 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 Remote Sensing,, 17(4):323-331.

· Refereed Chapters and segments of Books:

5] Pu, R., 2013, Chapter 14, Tree Species Classification, in Remote Sensing of Natural Resources, G. Wang and Q. Weng, Editors, CRC Press, Taylor & Francis Group, pp. 239-258.

[4] Pu, R., 2012, Estimating and Mapping Forest Leaf Area Index Using Satellite Imagery, in Advances in Mapping from Aerospace Imagery: Techniques and Applications, X. Yang and J. Li, Editors, (in press)

[3] Pu, R., 2011, Chapter 19, Detecting and Mapping Invasive Plant Species by Using Hyperspectral Data, in Hyperspectral Remote Sensing of Vegetation, P. S. Thenkabail, J. G. Lyon and A. Huete, Editors, pp. 447-465.

[2] Pu, R. and P. Gong, 2011, Chapter 5, Hyperspectral Remote Sensing of Vegetation Bioparameters, in Advances in Environmental Remote Sensing: Sensors, Algorithm, and Applications, Q. Weng, Series Editor, pp. 101-142.

[1] Li, Z., J. Jin, P. Gong and R. Pu , 2006, Use of Satellite Remote Sensing Data for Modeling Carbon Emissions from Fires: A Perspective in North America (Chapter 18), in Qu et al. (Eds),  Earth Science Satellite Remote Sensing, Springer-Verlag, 337-356.

· Book reviews and dictionary items:

Pu, R., 2011, Book review for Remote Sensing for Ecology and Conservation: A Handbook of Techniques, Written by Ned Horning, Julie A. Robinson, Eleanor J. Sterling, Woody Turner, and Sacha Spector, PE&RS, published 77(8): 767-

Pu, R., 2010, Book review for Advances in Photogrammetry, Remote Sensing and Spatial Information Sciences: 2008 ISPRS Congress Book, Edited by Zhilin Lin, Jun Chen and Emmanuel Baltsavias, PE&RS, published 76(6): 646-

Pu, R., 2010, Thermal Imagery, in Encyclopedia of Geography. SAGE Publications. Editor, Barney Warf, Vol 6, pp. 2819-2821. 12 Nov. 2010. <http://www.sage-ereference.com/geography/Article_n1132.html>.

·  Refereed Articles Originally in Chinese (22 Articles/Books)

· Conference Papers

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[Research Projects before 2005]

Description: D:\RPu_web_page_files\target.gifOutlines of Monitoring of Sudden Oak Death Using Hyperspectral measurements

Description: D:\RPu_web_page_files\target.gifOutlines of Validating Infiormation Extracted from EO-1 Data for Forest Classification, and Crown Closure, Canopy Chemistry, and LAI Estimation

Description: D:\RPu_web_page_files\target.gifOutlines of NASA Historical Burning Scar Mapping in North America using NOAA/AVHHRR Data

Description: D:\RPu_web_page_files\target.gifOutlines of Wildland Fire Mapping in California with NOAA/AVHHRR Data

Description: D:\RPu_web_page_files\target.gifOutlines of Irrigated Tract Analysis Using Landsat TM Imagery & DEM Data

Description: D:\RPu_web_page_files\target.gifOutlines of In Situ Hyperspectral Data Analysis for Extracting Biophysical and Biochemical Parameters

Description: D:\RPu_web_page_files\target.gifOutlines of Land Systems Classification with Forestry and GIS Data

Description: D:\RPu_web_page_files\target.gifOutlines of LAI Estimation with High Spectral Resolution Images Acquired on Airborne

Description: D:\RPu_web_page_files\target.gifOutline of Classification and Evaluation of a Shelter Forest Site in a Coastal Area Using Remote sensing Techniques

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Updated on October 5, 2014