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Dr. Fang Qiu
Program in Geographic
Information Sciences |
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ffqiu@utdallas.edu |
| About Me | Education | Positions | Research |
Dr. Fang Qiu is currently an Associate Professor of GIS and Remote Sensing at the University of Texas at Dallas, where he teaches graduate classes in the Program in Geographic Information Sciences. He received his B.Sc. from the East China Normal University in 1990, M.Sc. from the Chinese Academy of Sciences in 1993, and Ph.D. from the University of South Carolina in 2000. He is an ESRI-certified GIS instructor and was the first director of the Arc/Info Consulting and Training Center of China. He has conducted numerous government-sponsored GIS projects at the National Lab. of Resources and Environmental Information Systems of China from 1993 to 1996, and NASA Affiliated Research Center remote sensing projects at the University of South Carolina from 1996 to 2000. His research work at the University of Texas at Dallas is being funded by major federal government agencies, such as National Science Foundation (NSF), National Aeronautics and Space Administration (NASA), Environmental Protection Agency (EPA) and Centers for Disease Control and Prevention (CDC), etc. Dr. Qiu has also served as a reviewer for numerous academic journals, book publishers, and as a panelist for National Science Foundation proposal review.
Dr. Qiu’s research and instructional areas are remote sensing digital image processing, spatial analysis and modeling, GIS application software development, and web-based mapping and information processing. His current research examines the integration of neural network and fuzzy logic to facilitate the understanding and improvement of traditional remote sensing image classification, raster based spatial analysis to support urban and environment change detection and simulation, application of spatial data analysis in public health related problems, and application software and Internet mapping service design and development. Dr. Qiu’s publications have appeared in peer-reviewed journals such as International Journal of Remote Sensing, Photogrammetric Engineering and Remote Sensing, Computers and Geosciences, GIScience and Remote Sensing, GeoCarto International, Forest Ecology and Management, Journal of Geophysical Research and other academic journals.
2006 – Present
Associate Professor with tenure, Geospaital Information Sciences, School of
Economic, Political and Policy Sciences, University of Texas at Dallas
2000 - 2006 Assistant Professor, Program in Geographic Information
Sciences, School of Social Sciences, University of Texas
at Dallas
1996 - 2000 Research Assistant and Instructor, NASA Affiliated Research
Center at the Department of Geography, University of South Carolina.
1994 - 1996 Director and Certified Instructor, Arc/Info Technical
Consulting and Training Center of China, Chinese Academy of Sciences.
1993 - 1994 Research Associate, National Laboratory of Resources and
Environment Information System, Chinese Academy of Sciences.
Peer Reviewed Journal Articles:
[15] Qiu, F., 2008. Neuro-fuzzy classification of hyperspectral imagery based on a Gaussian fuzzy learning
vector quantization network, Photogrammetric Engineering and Remote
Sensing, Vol.
74, No. 10, 1235-1247.
[14] Zhang, C., G. Chen, and F. Qiu., Annual amphidromes observed in the
atmosphere with remote sensing data, Journal of Geophysical
Research-Atmospheres, 113, D16112, doi:10.1029/2008JD009864..
[13] Qiu, F., B. Li, B. Chastain, and
M. Alfarhan, 2008. A GIS based spatially explicit model of dispersal agent
behavior, Forest Ecology and Management, Vol. 254, No. 3, 524-537
[12] Zhang, C., and F. Qiu, 2008. An empirical relationship between sea surface
temperature and water vapor: an improvement to the physical model with remote
sensing derived data, Journal of Oceanography, Vol. 64, No. 1,
163-170.
[11] Qian, Y., F. Qiu, J. Chang and K. Zhang, 2008. Visualization informed noise
elimination and its application in processing high spatial resolution remote
sensing imagery, Computers and Geosciences, Vol. 34. No. 1, 35-52.
[10] Curtin, K. M., K. L. Hayslett-McCall, and F. Qiu, 2007. Determining Optimal
Police Patrol Areas with Maximal Covering and Backup Covering Location Models,
Networks and Spatial Economics, accepted.
[9] Qiu, F., M. Abdelsalam, and P. Thakkar, 2006. Spectral Analysis of ASTER
Data Covering Part of Neoproterozoic Allaqi-Heiani Suture, Southern Egypt,
Journal of African Earth Sciences, Vol. 44, No. 2, 169–180
[8] Cooper, J. R. and F. Qiu, 2006. Expediting and Standardizing Stone Artifact
Refitting Using a Computerized Suitability Model. Journal of Archaeological
Science, Vol. 33, 987-998.
[7] Xie, Z., and F. Qiu, 2005, Issues on the Use of Variogram-Based Feature
Vectors in Content Based Image Retrieval. The Florida Geographer, Vol.
36, 41-60
[6] Qiu, F., J. Berglund, J.R. Jensen, P. Thakkar and D. Ren, 2004, Speckle
Noise Reduction for SAR Imagery Using a Local Adaptive Median Filter,
GIScience and Remote Sensing , Vol. 41, No. 3, 224-266.
[5] Qiu, F. and J.R. Jensen, 2004. Opening the Black Box of Neural Networks for
Remote Sensing Image Classification. International Journal of Remote Sensing,
Vol. 25, No. 9, 1749-1768.
[4] Qiu, F., K. Woller and R. Briggs, 2003, Modeling Urban Population Growth
from Remotely Sensed Imagery and TIGER GIS Road Data, Photogrammetric
Engineering and Remote Sensing, Vol. 69, No. 9, September, 2003, 1031-1042.
[3] Jensen, J.R., F. Qiu, and K. Patterson, 2001. A Neural Network Image
Interpretation System to Extract Rural and Urban Land Use and Land Cover
Information from Remote Sensor Data, GeoCarto International, A
Multi-disciplinary Journal of Remote Sensing and GIS, Vol. 16. No. 1, 19-28.
[2] Jensen, J.R., F. Qiu and M. Ji, 1999. Predictive Modeling of Coniferous
Forest Age Using Statistical and Artificial Neural Network Approaches Applied to
Remote Sensing Data, International Journal of Remote Sensing, Vol. 20,
No. 14, 2805-2822
[1] Li, X. and F. Qiu, 1995. The Application of GPS and GIS in Vehicle Real-time
Monitoring, Remote Sensing Technology and Application, Vol. 10, No. 2, 33
– 37.
Peer Reviewed Book Chapters:
[2] Hayslett-McCall, K.L., F. Qiu, B. Chastain, J. Schubert, and V. Carver,
2008, The Simulation of the Journey to Residential Burglary, In Liu L. and J.
Eck (ed.), Artificial Crime Analysis System: Using Computer Simulation and
Geographic Information Systems, Hershey, PA: Idea Group, pp. 281-299.
[1] Curtin, K. M., F. Qiu, K. L. Hayslett-McCall, and T. M. Bray, 2005.
Integrating Geographic Information Systems and Maximal Covering Models to
Determine Optimal Police Patrol Areas, In Fahui Wang (ed.), Geographic
Information Systems and Crime Analysis. Hershey, PA: Idea Group, pp. 214-235.
University of Texas at Dallas
GISC-5317: Computer Programming for GIS
GISC-6384: Spatial Analysis and
Modeling
GISC-6388: GIS Application Development
GISC-7365: Remote Sensing Digital Image Processing
GISC-7366: Applied Remote Sensing
GISC-7367/GEOS7327: Remote Sensing
Workshop
GISC-7363: Internet Mapping and Information Processing
GISC-6382: Applied GIS Software
GISC-6387: GIS
Workshop
GISC-6389: GIS Master's Project
University of South Carolina
GEOG-141: Earth From Above
GEOG-363: Geographic Information Systems
President 2007-2008, International Association of Chinese
Professional in Geographic Information Sciences - Abroad (CPGIS)
Member, IEEE Geosciences and Remote Sensing Society (GRSS)
Member, American Society for Photogrammetry and Remote Sensing (ASPRS)
Member, Association of American Geographers (AAG)
Email: ffqiu@utdallas.edu
URL: www.utdallas.edu/~ffqiu
Phone: 972-883-4134 (Office)
Fax: 972-883-6573 (Office)
Office: GR 3.203 (Green Hall)Mail Address
University of Texas at Dallas
800 W Campbell Rd. GR31
Richardson, TX 75080-3021
