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Publications

Joni Downs

  • Mark W. Horner, Brandon Zook, and Joni A. Downs. 2012. Where were you? Development of a time‐ geographic approach for activity destination re‐construction. Computers, Environment, and Urban Systems, in press.
  • Patrick T. Vander Kelen, Joni A. Downs, Nathan D. Burkett‐Cadena, Christy L. Ottendorfer, Kevin Hill,Steve Sickerman, José Hernandez, Joseph Jinright, Brenda Hunt, John Lusk, Victor Hoover, Keith Armstrong, Robert S. Unnasch, Lillian M. Stark, and Thomas R. Unnasch. 2012. Habitat associations of Eastern Equine Encephalitis transmission in Walton County Florida. Journal of Medical Entomology 49: 746‐756.
  • Jonathon K. Parker and Joni A. Downs. 2012. Footprint generation using fuzzy‐neighborhood clustering. GeoInformatica, DOI: 10.1007/s10707‐012‐0152‐0.
  • Joni A. Downs and Mark W. Horner. Analysing infrequently sampled animal tracking data by incorporating generalized movement trajectories with kernel density estimation. 2012. Computers, Environment and Urban Systems 36: 302‐310.
  • Joni A. Downs and Mark W. Horner. 2012. Probabilistic potential path trees for visualizing and analyzing vehicle tracking data. Journal of Transport Geography 23: 72‐80.
  • Adeniyi S. Aremu, B.F. Sule, Joni A. Downs, and James R. Mihelcic. 2012. Framework to determine the optimal number and spatial location of municipal solid waste bins in a developing world urban neighborhood. Journal of Environmental Engineering, 138: 645‐653.
  • Joni A. Downs, Justin H. Heller, Rebecca Loraamm, Dana Oppenheim‐Stein, Cassandra McDaniel, and Dave Onorato. 2012. Accuracy of home range estimators for homogeneous and inhomogeneous point patterns. Ecological Modelling 225: 66‐73.
  • Joni A. Downs and Mark W. Horner. 2012. Enhancing habitat connectivity in fragmented landscapes: spatial modelling of wildlife crossing structures in transportation networks. Annals of the Association of American Geographers 102: 17‐34.
  • Joni A. Downs, Mark W. Horner, and Anton D. Tucker. 2011. Time‐geographic density estimation for home range analysis. Annals of GIS, 17: 163‐171.
  • Heather Wright‐Wendell, Joni A. Downs, and James Mihelcic. 2011. Assessing equitable access to urban green space: the role of engineered water infrastructure. Environmental Science & Technology 45: 6728‐6734.
  • Jerry Olsen, Joni A. Downs, Anton D. Tucker, and Susan Trost. 2011. Home range size and territorial calling of southern boobook owls Ninox novaeseelandiae in adjacent territories. Journal of Raptor Research 45: 136‐142.
  • Mark W. Horner, Irene Casas, and Joni A. Downs. 2010. Exploration of a polygon decomposition technique based on the ordinary Voronoi diagram. Annals of GIS 16: 223‐236.
  • Joni A. Downs. 2010. Time‐geographic density estimation for moving point objects. Lecture Notes in Computer Science 6292: 16‐26. 3
  • Mark W. Horner and Joni A. Downs. 2010. Optimizing hurricane disaster relief goods distribution: model development and application with respect to planning strategies. Disasters 34: 821‐844.

Ruiliang Pu

  • 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 8 Observation and Geoinformation, (in press).
  • 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
  • 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
  • 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
  • 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.
  • 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
  • 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
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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
  • 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
  • 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
  • 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
  • Meyer, C. and R. Pu, 2012, Assessment of Seagrass Resources using Remote Sensing Methods in St. 9 Joseph Sound and Clearwater Harbor, Florida, U.S.A. Environmental Monitoring and Assessment 184:1131–1143.
  • 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
  • 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.
  • 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.
  • 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.
  • 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.
  • Yang, G., R. Pu, C. Zhao, W. Huang, and J. Wang, 2011, Estimation of subpixel land surface temperature using an end member index based technique: A case examination on ASTER and MODIS temperature products over a heterogeneous area, Remote Sensing of Environment, 115:1202-1219.
  • 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.
  • 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.
  • Landry, S. and 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.

Steven Reader

  • Batsche CJ, Reader S (2012) Using GIS to Enhance Programs Serving Emancipated Youth Leaving Foster Care. Evaluation and Program Planning 35:1 pp25-33.
  • Pathak EB, Reader S, Tanner JP, Casper ML (2011) Spatial Clustering of NonTransported Cardiac Decedents: the Results of a Point Pattern Analysis and Inquiry into Social Environmental Correlates. International Journal of Health Geographics 10:46
  • Chakraborty J and Reader S. (2010) Multivariate Analysis Methods. In B. Warf (editor) Encyclopedia of Geography. Sage Publications.
  • Barnett Pathak EM, Casper ML, Tanner JP, Reader S, Ward BG (2010). A Multilevel Analysis of Absence of Transport to a Hospital before Premature Cardiac Death. Preventing Chronic Disease 7:3.

Alliance for Integrated Spatial Technologies (AIST)
Lori Collins, Travis Doering, Jeffrey Du Vernay

  • Collins, Lori and Travis Doering. 2015. From Digital to Reality: Using 3D Technologies for Heritage Preservation and Public Interpretation in Florida State Parks (in preparation: Florida Anthropologist).
  • Du Vernay, Jeffrey P. 2014. Yon Mound and Village: A Fort Walton Mound Center in the Middle Apalachicola River Valley. The Florida Anthropologist 67(1).
    Travis F. Doering and Lori D. Collins. Revisiting Kaminaljuyu Monument 65 in Three-Dimensional High Definition. In The Place of Sculpture in Mesoamerica’s Preclassic Transition: Context, Use, and Meaning, edited by Clark, Guernsey and Arroyo. Dumbarton Oaks, Washington, D.C. (2010).

Refereed Conference Proceedings

  • Joni A. Downs and Mark W. Horner. 2011. An adaptive‐velocity time‐geographic density estimator. Proceedings of the 11th International Conference on GeoComputation, London, UK.
  • Mark W. Horner and Joni A. Downs. 2011. Where were you? A time‐geographic approach to activity destination re‐construction. Proceedings of the 11th International Conference on GeoComputation, London, UK.
  • James D. Downs, Roger A. Williams, and Joni A. Downs. 2010. The effects of shelterwood harvesting on oak regeneration one and two years after harvest in southern Ohio. Proceedings of the 17th Central Hardwoods Forest Conference, Lexington, Kentucky.
  • Joni A. Downs. 2011. Variable‐velocity time‐geographic density estimation for moving point objects. 2010 Meeting of the Association of American Geographers, Seattle, WA.
  • Joni A. Downs. 2010. Time‐geographic density estimation for moving point objects. 6th International Conference on Geographic Information Science. Zurich, Switzerland.
  • Joni A. Downs. 2010. Refining home range estimates using time geography. 2010 Meeting of the Association of American Geographers, Washington, DC.
  • Joni A. Downs. 2010. Spatial‐temporal analysis of animal movements. Space‐Time Analysis and Modeling Workshop, ESRI GIS Week 2010, Redlands, CA.

Papers Presented at Professional Conferences

  • Wang, H. and R. Pu, 2014. Mapping Health Levels of Robinia Pseudoacaci Forests in the Yellow River Delta, China, Using IKONOS and Landsat 8 OLI Imagery. The proceedings of AAG annual meeting’14, April 8-12, 2014, Tampa, Florida.
  • 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. The proceedings of AAG annual meeting’14, April 8-12, 2014, Tampa, Florida.
  • Earls, J., B. Dixon, and R. Pu, 2014. Development of A Risk Assessment Index Tool (RAIT) for Pollutants On Organic Farms: Using An Integrated Geospatial Method. The proceedings of AAG annual meeting’14, April 8-12, 2014, Tampa, Florida.
  • Anchang, J., and R. Pu, 2014. Combining Unsupervised Learning and Spatial Disaggregation as a Basis for Detecting Potential Slum and Informal Neighborhoods from Satellite Imagery: A SubSaharan Case Study. The proceedings of AAG annual meeting’14, April 8-12, 2014, Tampa, Florida.
  • Meyer, C., and R. Pu, 2014. Seagrass + Urban Environment + Sea Level Rise = ? The proceedings of AAG annual meeting’14, April 8-12, 2014, Tampa, Florida.
  • Pu, R., S. Bell and D. English, 2013. Developing Hyperspectral Vegetation Indices for Identifying Seagrass Species and Cover Classes. The proceedings of AAG annual meeting’13, April9-13, 2013, Los Angeles, California.
  • Pu, R., S. Bell, Y. Zhang, L. Baggett, Y. Zhang, and C. Meyer, 2012, Mapping and assessing seagrass abundance using Landsat TM and EO-1 ALI/Hyperion Images, The proceedings of AGU Meeting’12, Dec. 3-7, 2012, San Francisco, USA.
  • Weng, F, and R. Pu, 2012, Assessment of urban growth using multiple endmember spectral mixture analysis: A case study in Tampa, Florid, The proceedings of AAG annual meeting’12, February 24 - 28, 2012, New York City.
  • Pu, R., and S. Landary, 2012. A comparative analysis of high resolution Ikonos and worldview-2 imagery for mapping urban tree species, Florid, The proceedings of AAG annual meeting’12, February 24 - 28, 2012, New York City.
  • Pu, R., S. Bell, K. H. Levy, C. Meyer, L. Baggett, Y. Zhang, and M. Harrison, 2011, Mapping and assessing seagrass habitats using satellite imagery, The proceedings of AAG annual meeting’11, April 12-16, 2011, Seattle, WA.
  • Zhao, Y., R. Pu, S. Bell, L. Baggett, and M. Harrison, 2011, The Enhancement of seagrass classification effects from Hyperion images optimized by the cross track illumination correction algorithm of VRadCor and the adaptive filter of SRSSHF, The proceedings of AAG annual meeting’11, April 12-16, 2011, Seattle, WA.
  • Pu, R., S. Bell, K. H. Levy, S. Meyer, and D. English, 2010. Mapping detailed seagrass habitats using satellite imagery, IGARSS 2010 annual conference, July 25 - 30, 2010 - Honolulu, Hawaii, USA.
  • Pu, R., 2010, Comparing Canonical Correlation Analysis with Partial Least Square Regression in Estimation of Forest Leaf Area Index with Multitemporal Landsat TM imagery, The International Cartographic Association (ICA) Commission on Mapping from Satellite Imagery, Nov., 19, 2010, Orlando, FL.A.
  • Pu, R., 2010, Identification and Mapping of Urban Forest Species with High Spatial/Spectral Resolution Data, FSG2010 in Jan. 2010, Tampa, FL, USA.

Community Outreach with Professional Groups/Workshops

  • 2015 Presentations and Internship Agreement Development with the Tampa Bay and Florida State Surveyors and Mapping Society (programmatic development).
  • 2015 3D Survey and New Technologies for Heritage Preservation and Documentation Projects.
    Archaeological Institute of America, Jacksonville Chapter. University of North Florida, Jacksonville. February 21, 2015 (Collins, Lori and Travis Doering )
  • 2013 University-Company Collaborations, and Latest from Universities. 2013 SPAR International Conference. Panelist/Discussant. Colorado Springs, CO. (Lori Collins and Travis Doering)
  • 2013 Heritage Board and Paper Selection Committee, SPAR International, 3D Tools and Technologies (Lori Collins)