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Bruzzone, L., Mingmin, C., and Marconcini, M. 2006. A novel transductive SVM for semisupervised classification of remote-sensing images. IEEE Transactions On Geoscience and Remote Sensing. 44(11):3363-3373.

Chen, X., Lai, Z., Li, W., and Zhang, J. 2009. Some critical issues on airborne LIDAR mapping software in coastal survey. Proceedings, SPIE. 7492, 74920F.

Elwood, S. 2006. Negotiating knowledge production: The everyday inclusions, exclusions, and contradictions of participatory GIS research. The Professional Geographer. 58(2):197.

Flynn, M.T., Pottinger, M., and Batchelor, P.D. 2010. Fixing Intel: A Blueprint for Making Intelligence Relevant in Afghanistan. Washington, D.C.: Center for a New American Security. 26 pp. Available online at http://govcentral.monster.com/news_feeds/visit?uri=http%3A%2F%2Fwww.cnas.org%2Fnode%2F3927; accessed 8 July 2010.

Elwood, S. 2008. Volunteered geographic information: Future research directions motivated by critical, participatory, and feminist GIS. GeoJournal. 72(3 & 4):173-183.

Flanagin, A.J., and Metzger, M.J. 2008. The credibility of volunteered geographic information. GeoJournal. 72:137-148.

Goodchild, M.F. 2007. Citizens as sensors: The world of volunteered geography. GeoJournal. 69(4):211-221.

Hornsby, K.S., and Yuan, M. (eds). 2008. Understanding Dynamics of Geographic Domains. Boca Raton, FL: Taylor and Francis.

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Jackson, Q., and Landgrebe, D. 2001. An adaptive classifier design for highdimensional data analysis with a limited training data set, IEEE Transactions on Geoscience and Remote Sensing. 39(12):2664-2679.

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Kellndorfer, J.M, Walker, W.S., LaPoint, E., Kirsch, K., Bishop, J., and Fiske, G. 2010. Statistical fusion of lidar, InSAR, and optical remote sensing data for forest stand height characterization: A regional-scale method based on LVIS, SRTM, Landsat ETM plus, and ancillary data sets. Journal of Geophysical Research-Biogeosciences. 115, G00E08.



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– REFERENCES – Banaei-Kashani, F., Shirani-Mehr, H., Pan, B., Bopp, N., Nocera, L., and Shahabi, C. 2010. GeoSIM: A geospatial data collection system for participatory urban texture documentation. Bulletin of the Technical Committee on Data Engineering. 33(2):40-45. Bruzzone, L., Mingmin, C., and Marconcini, M. 2006. A novel transductive SVM for semisupervised classification of remote-sensing images. IEEE Transactions On Geoscience and Remote Sensing. 44(11):3363-3373. Chen, X., Lai, Z., Li, W., and Zhang, J. 2009. Some critical issues on airborne LIDAR mapping software in coastal survey. Proceedings, SPIE. 7492, 74920F. Elwood, S. 2006. Negotiating knowledge production: The everyday inclusions, exclusions, and contradictions of participatory GIS research. The Professional Geographer. 58(2):197. Flynn, M.T., Pottinger, M., and Batchelor, P.D. 2010. Fixing Intel: A Blueprint for Making Intelligence Relevant in Afghanistan. Washington, D.C.: Center for a New American Security. 26 pp. Available online at http://govcentral.monster.com/news_feeds/ visit?uri=http%3A%2F%2Fwww.cnas.org%2Fnode%2F3927; accessed 8 July 2010. Elwood, S. 2008. Volunteered geographic information: Future research directions motivated by critical, participatory, and feminist GIS. GeoJournal. 72(3 & 4):173-183. Flanagin, A.J., and Metzger, M.J. 2008. The credibility of volunteered geographic information. GeoJournal. 72:137-148. Goodchild, M.F. 2007. Citizens as sensors: The world of volunteered geography. GeoJournal. 69(4):211-221. Hornsby, K.S., and Yuan, M. (eds). 2008. Understanding Dynamics of Geographic Domains. Boca Raton, FL: Taylor and Francis. IVS. 2006. 4th IVS General Meeting, Conception, Chile, January 9-13, International VLBI Service for Geodesy and Astronomy. Jackson, Q., and Landgrebe, D. 2001. An adaptive classifier design for highdimensional data analysis with a limited training data set, IEEE Transactions on Geoscience and Remote Sensing. 39(12):2664-2679. Keller-McNulty, S., Bellman, K.L., Carley, K.M. et al., 2006, Defense Modeling, Simulation, and Analysis: Meeting the Challenge, Washington, DC: National Academy Press. Kellndorfer, J.M, Walker, W.S., LaPoint, E., Kirsch, K., Bishop, J., and Fiske, G. 2010. Statistical fusion of lidar, InSAR, and optical remote sensing data for forest stand height characterization: A regional-scale method based on LVIS, SRTM, Landsat ETM plus, and ancillary data sets. Journal of Geophysical Research-Biogeosciences. 115, G00E08. 33

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