Publications by Research Capabilites

Climate Change Impacts

Selected Journal Papers

Ganguly, A.R., Steinhaeuser, K., Erickson, D.J., Branstetter, M., Parish, E.S., Singh, N., Drake, J.B., and L. Buja (2009): Higher trends but larger uncertainty and geographic variability in 21st century temperature and heat waves. Proceedings of the National Academy of Sciences of the United States of America, 106(37): 15555-15559.

Zhang, J., R.R. Murch, M.A. Ross, A.R. Ganguly and M. Nachabe (2008): Evaluation of statistical rainfall disaggregation methods using rain-gauge information for West-Central Florida, Journal of Hydrologic Engineering, 13(12): 1158-1169.

Khan, S., S. Bandyopadhyay, A. R. Ganguly, S. Saigal, D. J. Erickson, III, V. Protopopescu, and G. Ostrouchov (2007): Relative performance of mutual information estimation methods for quantifying the dependence among short and noisy data, Physical Review E, 026209.

Kuhn, G., Khan, S., Ganguly, A.R., M. Branstetter (2007): Geospatial-temporal dependence among weekly precipitation extremes with applications to observations and climate model simulations in South America, Advances in Water Resources, 30(12): 2401-23. (Ranked by ScienceDirect as one of the hottest papers for the journal)

Khan, S., Kuhn, G., Ganguly, A.R., Erickson, D.J., and G. Ostrouchov (2007): Spatio-temporal variability of daily and weekly precipitation extremes in South America, Water Resources Research, 43, W11424.

Khan, S., A. R. Ganguly, S. Bandyopadhyay, S. Saigal, D. J. Erickson, III, V. Protopopescu, and G. Ostrouchov (2006): Nonlinear statistics reveals stronger ties between ENSO and the tropical hydrological cycle, Geophysical Research Letters, 33, L24402.

Khan, S., Ganguly, A.R., and Saigal, S. (2005): Detection and predictive modeling of chaos in finite hydrological time series, Nonlinear Processes in Geophysics, 12: 41-53.

Ganguly, A.R., and R.L. Bras (2003): Distributed quantitative precipitation forecasting using information from radar and numerical weather prediction models, Journal of Hydrometeorology, 4 (6): 1168-180.

Selected Books and Book Chapters

Ganguly, A.R., Gama, J., Omitaomu, O.A., Gaber, M.M., and R.R. Vatsavai (Editors) (2009): Knowledge Discovery from Sensor Data. CRC Press, Taylor & Francis Group, New York: 216 pp.

Ganguly, A.R., Fang, Y., Khan, S. and O.A. Omitaomu (2007). Knowledge discovery from sensor data for scientific applications, In: Gaber, M. and J. Gama (eds.), Learning from Data Streams – Processing Techniques in Sensor Networks, Springer-Verlag.

Selected Peer-Reviewed Conference Papers

Steinhaeuser, K., Chawla, N.V., and A.R. Ganguly (2009): An exploration of climate data using complex networks, Proceedings of the 3rd International Workshop on Knowledge Discovery from Sensor Data: The 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. (Best Student Paper: Invited for ACM SIGKDD Explorations)

Ganguly, A.R., Steinhaeuser, K., Sorokine, A., Parish, E.S., Kao, S.-C., and M.L. Branstetter (2009): Demo Paper: Geographic Analysis & Visualization of Climate Extremes for the Quadrennial Defense Review, 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (Accepted).

Kao, S.-C., Ganguly, A.R., and K. Steinhaeuser (2009): Motivating complex dependence structures in data mining: Case study with anomaly detection in climate data, 9th IEEE International Conference on Data Mining - Workshops (ICDMW'09). (Accepted)

Ganguly, A.R., and K. Steinhaeuser (2008): Data mining for climate change and impacts, Proceedings of the 8th IEEE International Conference on Data Mining - Workshops (ICDMW'08).

Selected Recent Non Peer-Reviewed Conferences

Ngnepieba, P., and A.R. Ganguly (2009): Towards rigorous mathematical approaches for forecast generation and uncertainty characterization using multi-model ensembles of climate, 90th American Meteorological Society Annual Meeting, Atlanta, GA, January 2010.

Kodra, E.A., S. Chatterjee, and A.R. Ganguly (2009): Classic Granger causality may not be appropriate for diagnosing CO2-temperature and other noisy relationships. 20th Conference on Probability and Statistics in the Atmospheric Sciences: 90th American Meteorological Society Annual Meeting, Atlanta, GA, January 2010.

Parish, E.S., and A.R. Ganguly (2009): Estimating fresh water availability at regional and decadal scales based on projected changes in climate and population, 18th Conference on Applied Climatology: 90th American Meteorological Society Annual Meeting, Atlanta, GA, January 2010.

Ganguly, A.R., Steinbach. M., and V. Kumar (2009): Knowledge discovery and nonlinear modeling can complement climate model simulations for predictive insights about climate extremes and their impacts, 2009 Fall Meeting of the American Geophysical Union, San Francisco, CA, December 2009.

Kao, S.-C., and A.R. Ganguly (2009): Intensification of droughts in a warming environment, 2009 Fall Meeting of the American Geophysical Union, San Francisco, CA, December 2009.

Parish, E. S, and A.R. Ganguly (2009): Risk formulations versus comprehensive uncertainty characterizations for climate extremes and their impacts, 2009 Fall Meeting of the American Geophysical Union, San Francisco, CA, December 2009.

Steinhaeuser, K, A.R. Ganguly, and N.V. Chawla (2009): Complex networks as a tool of choice for improving the science of climate extremes and reducing uncertainty in their projections, 2009 Fall Meeting of the American Geophysical Union, San Francisco, CA, December 2009.

Earth Science Informatics

Getman, D., Harbor, H., Johannsen, C., Engel, B., Shao, G. “Improving The Accuracy of Historic Satellite Image Classification by Combining Low-Resolution Multispectral Data With High-Resolution Panchromatic Data” Journal of Terrestrial Observation. Accepted for publication.

Tobin, K., B. Bhaduri, E. Bright, A. Cheriydat, T. Karnowski, P. Palathingal, T. Potok., J. Price. “Automated Feature Generation in Large-Scale Geospatial Libraries for Content-Based Indexing.” Photogrammetric Engineering & Remote Sensing. Vol. 72 May 2006.

Tobin, K.W., Bhaduri, B.L., Bright, E.A., Cheriyadat, A., Karnowski, T.P., Palathingal, P.J., Potok, T.E., Price, J.R., “Large-Scale Geospatial Indexing for Image-Based Retrieval and Analysis,” ISVC 2005, LNCS 3804, Springer-Verlag, Berlin, 2005, pp. 543-552.

Remote Sensing for Site Characterization.  F. Keuhn, T. King, B. Hoerig, D. Peters, eds.  Springer-Verlag Berlin Heidelberg 2000.  Contributing Authors: R. N. Clark, T. K. Evers, P. L. Hauff, B. Hoerig, D. Huff, J. M. Irvine, A. L. King, T. V. V. King, F. Kuehn, J. Odenweller, D. C. Peters, D. Schmidt, V. Singhroy, J. L. Smyre, G. Stahl, G. A. Swayze.

J. M. Irvine, T. K. Evers, J. L. Smyre, D. D. Huff, A. L. King, G. Stahl, and J. Odenweller. “The Detection and Mapping of Buried Waste.”  International Journal of Remote Sensing, p 1583 - 1595, Vol. 18, No. 7, 1997.

Emergency Preparedness and Response

Lee, R.W., J.K. Kulesz, “A Risk-Based Sensor Placement Methodology”, 10th Annual George Mason University Conference on Atmospheric Transport and Dispersion Modeling, Fairfax, Virginia, August, 2006.

B. L. Bhaduri, E.A. Bright, P. R. Coleman, M. A. Tuttle, A. L. King, P. E. Johnson, C. Liu, K. Perumalla, J. Nutaro, O. Franzese.  Advancing the Solutions Networks for Disaster Management through Computationally Intensive Modeling. ESRI Conference Proceedings. San Diego, CA, 2006.

A. Garrett, J. M. Irvine, A. L. King, J. L. Smyre, T. K. Evers, C. Ford, D. Levine. Application of Multi-spectral Imagery to Assessment of a Hydrodynamic Simulation of an Effluent Stream Entering the Clinch River, Photogrammetric Engineering & Remote Sensing, Vol. 66, No. 3, March 2000.

Hecox, G.R., Rose, A.N., Katrina Flood and Contamination Mapping: Using GIS to Rapidly Estimate Disaster Impact, 26th Annual ESRI User Conference, San Diego, California, 2006. S.J. Fernandez,”Survivable Subnetworks”,EC-NSF Workshop Report, R&D Strategy for a Dependable Information Society EU-US Collaboration, December 2001, Dusseldorf, Germany.

L. Toole, S. Flaim, S. Fernandez, J. Bossert, B. Bush, and B. Neenan, “Effects of Climate Change on California Energy Security,” LA-UR-06-0984 in SSR 2006: International Symposium on Systems & Human Science, Vienna, Austria, 6–8 March 2006.

Lee, R.W, J.K. Kulesz, "A Risk-Based Sensor Placement Methodology", ORNL/TM-2006/506, UT-Battelle LLC, May, 2006.

Lee, R.W., "Moving the Hazard Prediction and Assessment Capability to a Distributed, Portable Architecture", ORNL/TM-2002/145, UT-Battelle LLC, August, 2002.

Mihaela D. Quirk and Steven J. Fernandez (2005) "Infrastructure Robustness for Multiscale Critical Missions," Journal of Homeland Security and Emergency Management: Vol. 2 : Iss. 2, Article 2.

Steven Fernandez, Brian Bush, G. Loren Toole, Lori Dauelsberg, Silvio Flaim, Gary R. Thayer, and Austin Ivey, “Predicting Hurricane Impacts on the Nation’s Infrastructure: Lessons Learned from the 2005 Hurricane Season,” in Second International Conference on Global Warming, Santa Fe, New Mexico, 17–21 July 2006

L. Toole, S. Flaim, S. Fernandez, J. Bossert, B. Bush, and B. Neenan, “Effects of Climate Change on California Energy Security,” LA-UR-06-0984 in SSR 2006: International Symposium on Systems & Human Science, Vienna, Austria, 6–8 March 2006.

Energy Assurance

B. L. Bhaduri, E.A. Bright, P. R. Coleman, M. A. Tuttle, A. L. King, P. E. Johnson, C. Liu, K. Perumalla, J. Nutaro, O. Franzese.  Advancing the Solutions Networks for Disaster Management through Computationally Intensive Modeling. ESRI Conference Proceedings. San Diego, CA, 2006.

Hecox, G.R., Rose, A.N., Katrina Flood and Contamination Mapping: Using GIS to Rapidly Estimate Disaster Impact, 26th Annual ESRI User Conference, San Diego, California, 2006. S.J. Fernandez,”Survivable Subnetworks”,EC-NSF Workshop Report, R&D Strategy for a Dependable Information Society EU-US Collaboration, December 2001, Dusseldorf, Germany.

L. Toole, S. Flaim, S. Fernandez, J. Bossert, B. Bush, and B. Neenan, “Effects of Climate Change on California Energy Security,” LA-UR-06-0984 in SSR 2006: International Symposium on Systems & Human Science, Vienna, Austria, 6–8 March 2006.

Lee, R.W, J.K. Kulesz, "A Risk-Based Sensor Placement Methodology", ORNL/TM-2006/506, UT-Battelle LLC, May, 2006.

Lee, R.W., "Moving the Hazard Prediction and Assessment Capability to a Distributed, Portable Architecture", ORNL/TM-2002/145, UT-Battelle LLC, August, 2002.

Mihaela D. Quirk and Steven J. Fernandez (2005) "Infrastructure Robustness for Multiscale Critical Missions," Journal of Homeland Security and Emergency Management: Vol. 2 : Iss. 2, Article 2.

Steven Fernandez, Brian Bush, G. Loren Toole, Lori Dauelsberg, Silvio Flaim, Gary R. Thayer, and Austin Ivey, “Predicting Hurricane Impacts on the Nation’s Infrastructure: Lessons Learned from the 2005 Hurricane Season,” in Second International Conference on Global Warming, Santa Fe, New Mexico, 17–21 July 2006

L. Toole, S. Flaim, S. Fernandez, J. Bossert, B. Bush, and B. Neenan, “Effects of Climate Change on California Energy Security,” LA-UR-06-0984 in SSR 2006: International Symposium on Systems & Human Science, Vienna, Austria, 6–8 March 2006.

Geocomputation for Transportation

Liu, Cheng, Mark Tuttle. “Emergency Evacuation Plan Maintenance”, Encyclopedia of Geographic Information Science, Shashi Shekhar and Hui Xiong (Eds.).  Springer-Verlag; In Press.

Johnson, Paul E., March 30 - April 2, 2003. WebTRAGIS, A Routing Model for the 21st Century. Proceedings of the 10th International High-Level Radioactive Waste Management Conference (IHLRWM), Las Vegas, NV.

Johnson, Paul E., 2006, Railroad Routing and Visualization Application (RRVA) User’s Manual, ORNL/NTRC-018, Oak Ridge National Laboratory, Oak Ridge, Tennessee.

Johnson, Paul E. and R. D. Michelhaugh, 2003, Transportation Routing Analysis Geographic Information System (TRAGIS) User’s Manual, ORNL/NTRC-006, Oak Ridge National Laboratory, Oak Ridge, Tennessee.

Population and Critical Infrastructure Modeling

Abercrombie, K., Sabesan, A., A.R. Ganguly (2006): Metrics for the comparative analysis of geospatial datasets with applications to high-resolution grid-based population data, American Association of Geographers, Annual Meeting, Chicago, IL.

Bhaduri, B. 2007.  Population Distribution During the Day.  In The Encyclopedia of Geographic Information Systems, Shashi Shekhar and Hui Xiong (Eds.).  Springer-Verlag; In Press.

Bhaduri, B.L., Bright, E.A., Coleman, P.R., and Dobson, J.E. 2002. LandScan: Locating People is What Matters. Geoinformatics Vol. 5, No. 2, pp. 34-37.

Bhaduri, B., Bright, E., Coleman, P., Urban, M.LandScan USA: A High Resolution Geospatial and Temporal Modeling Approach for Population Distribution and Dynamics - Where Are We?" a special issue of GeoJournal. Accepted for publication.

Bright, Eddie. LandScan: Status and Direction. Association of American Geographers 2007. San Francisco, California. April 19, 2007.

Bright, Eddie. Population Distribution and Dynamics. TAMU Geospatial Technologies and Homeland Security. College Station, Texas. November 15, 2006.

Cheriyadat, A., Bright, E.A., Bhaduri, B.,and D. Potere. “Mapping of Settlements in High Resolution Satellite Imagery using High Performance Computing" a special issue of GeoJournal. Accepted for publication.

Cai, Q., G. Rushton, B. Bhaduri, E. Bright, and P. Coleman. “Estimating Small-area Populations by Age and Sex Using Spatial Interpolation and Statistical Inference Methods.” Transactions in GIS, 2006, 10(4): 577–598.

Dobson, J. E., E. A. Bright, P. R. Coleman, and B.L. Bhaduri. “LandScan: a global population database for estimating populations at risk.” Remotely Sensed Cities Ed. V. Mesev, London: Taylor & Francis. 2003. 267-281.

Dobson, J. E., E. A. Bright, P. R. Coleman, R. C. Durfee, B. A. Worley.  2000.  “A Global             Population database for Estimating Populations at Risk”, Photogrammetric Engineering & Remote Sensing Vol. 66, No. 7, July, 2000.

Ganguly, A.R., Khan, S., Kuhn, G., Fang, Y., Erickson III, D.J., Branstetter, M., and G. Ostrouchov (2007): Climate change, rainfall extremes, and population at risk. American Meteorological Society, 88th Annual Meeting, January, 2008, New Orleans, LA (To be presented).

Patterson, L, et al. “Assessing Spatial and Attribute Errors in Large National Datasets for Population Distribution Models,” a special issue of GeoJournal. Accepted for publication.

Potere, D., Feierabend, N., Bright, E., Strahler, A. “Walmart from Space: A New Source for Land Cover Change Validation” Photogrametric Engineering and Remote Sensing. Accepted for publication.

Sabesan, A., Abercrombie, K., Ganguly, A., Bhaduri, B., Bright, E., Coleman, P. “Metrics for the Comparative Analysis of Geospatial Datasets with Applications to High-Resolution Grid-based Population Data.” “Where Are We?" a special issue of GeoJournal. Accepted for publication.

Sabesan, A., Abercrombie, K., Ganguly, A.R., Bhaduri, B.L., Bright, E.A., and P. Coleman (2007): Metrics for the comparative analysis of geospatial datasets with applications to high resolution grid-based population data, GeoJournal (Accepted for Publication).

Tobin, K., B. Bhaduri, E.Bright, A. Cheriydat, T. Karnowski, P. Palathingal, T. Potok., J. Price. “Automated Feature Generation in Large-Scale Geospatial Libraries for Content-Based Indexing.” Photogrammetric Engineering & Remote Sensing. Vol. 72 May 2006.

Tobin, K.W., Bhaduri, B.L., Bright, E.A., Cheriyadat, A., Karnowski, T.P., Palathingal, P.J., Potok, T.E., Price, J.R., “Large-Scale Geospatial Indexing for Image-Based Retrieval and Analysis,” ISVC 2005, LNCS 3804, Springer-Verlag, Berlin, 2005, pp. 543-552.

Tuttle, Mark A., N. Singh, A. Sabesan. “Spatial Designation of Critical Habitats for Endangered and Threatened Species in the United States”, Journal of Map & Geography Libraries (Geoscapes), "Special Issue on Department of Energy (DOE) Geospatial Science Innovations". In Press.

Sabesan, A., Abercrombie, K., Ganguly, A., Bhaduri, B., Bright, E., Coleman, P. “Metrics for the Comparative Analysis of Geospatial Datasets with Applications to High-Resolution Grid-based Population Data”. “Where Are We?" a special issue of GeoJournal. Accepted for publication.

Singh, N., Glenn, N., and Welham, J. 2004, Comparison between remote sensing classification and stochastic simulation techniques for predicting areas of weed invasion, Geological Society of America Abstracts with Programs, Vol. 36, No. 5, p. 140.

Singh, N., Glenn, N., and Windholz, T., 2005, Development of multitemporal data analysis for extracting information from medium-resolution imagery:  An application for cheatgrass (bromus tectorum) detection, American Society of Photogrammetry and Remote Sensing, Annual Meeting at Baltimore, March 2005.

West, T, Singh, N., Marland, G., Bhaduri, B.L., & Roddy, A.B, 2007, The Human Carbon Budget: The spatial distribution of carbon consumption and release in the US. US NACP Investigators Meeting, Colorado Springs, Co, Jan 2007. 

Singh, N., T.West, G. Marland, & Bhaduri, B.L. 2007.Mapping the distribution of carbon exchange by humans in the US. Association of American Geographers (AAG) annual meeting, San Francisco, Ca, April 17-21.

Urban, Marie, A. Myers, L. Patterson. LandScan USA: Scanning High and Low, Day and Night, ESRI Map Book, Volume 21, August, 2006.

Vijayaraj V., Bright E.A., and  Bhaduri B.L., “High Resolution Urban Feature Extraction for Global Population Mapping using High Performance Computing”, Proceedings of 2007 IEEE International geosciences and remote sensing symposium, IGARSS 2007.

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Highlights

Machine Vision and Applications proposes a new method to infer road networks from GPS trace data and accurately segment road regions in high resolution aerial images
Congratulations to the authors Jiangye Yuan, Anil M. Cheriyadat, Robert Stewart, Marie Urban, Sam Duchscherer, Jason Kaufman, April Morton, Gautam Thakur, Jesse Piburn, and Jessica Moehl

A Bayesian model for integrating population domain knowledge with open source data under uncertainty
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An article titled "Virtualization of the Evolving Power Grid" and authored by Olufemi Omitaomu, Alex Sorokine and Varun Chandola in the Computational Sciences and Engineering Division has been published in the IEEE Smart Grid Newsletter.

New ORNL Tool Developed to Assess Global Freshwater Stress [March 23, 2012]
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Off the Map [March 2012]
After the March 11, 2011, earthquake and tsunami devastated the coast along Sendai, Japan, a special team at the software company Esri quickly jumped into action.

New ORNL Technology to help KUB Customers Understand Their Bill
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Grid Visualization Efforts Helped Heal After Hurricane
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Joplin, Missouri Tornado: Do People Fail to Respond to Tornado Warnings?
Jenniffer Santos-Hernandez at Oak Ridge National Laboratory helped conduct a phone survey of more than 600 people in Oklahoma, Kansas, Minnesota, Illinois, Mississippi, Tennessee, and Alabama.