Publications2008 Liu, W. G. and Seto, K. C. “Using ART-MMAP neural network to predict urban growth: a spatio-temporal data mining approach,” Environment and Planning B. Seto, K. C., Ojima, D., Song, Q., and Mosier, A. “Human drivers of change in the East Asian Monsoon System,” in Changes in the Human-Monsoon System of East Asia in the Context of Global Change. Freney, J., Stewart, J., and Virji, H., eds., World Scientific Press. Fragkias, M., and Seto, K. C. “Urban Land Use Change Models, Uncertainty, and Policymaking in Rapidly Growing Developing World Cities,” in Land Use Change: Science, Policy and Management. Hill, M. J., and Aspinall, R., eds., Taylor and Francis.
2007 Seto, K. C. and Fragkias, M. “Mangrove conversion and aquaculture development in Vietnam: A remote sensing-based approach for evaluating the Ramsar Convention on Wetlands,” Global Environmental Change 17: 486-500. Kaufmann, R. K., Seto, K. C., Schneider, A., Zhou, L., and Liu, Z. “Climate Response to Rapid Urban Growth: Evidence of a Human-Induced Precipitation Deficit,” Journal of Climate 20(10): 2299-2306. Seto, K. C., Fragkias, M., and Schneider, A. “20 Years After Reforms: Challenges to Planning and Development in China’s City-Regions and Opportunities for Remote Sensing,” in Applied Remote Sensing for Urban Planning, Governance and Sustainability, Redman, C., Stefanov, W., and Netzband, M., eds. Springer-Verlag.
2006 Liu, W. G., Seto, K. C., Sun, Z., and Tian, Y. “Urban Land Use Prediction Model with Spatiotemporal Data Mining and GIS,” in Urban Remote Sensing, Weng, Q., and Quattrochi, D. A., eds., pp. 165-178. CRC Press/Taylor and Francis. Boucher, A., Seto, K. C., and Journél, A. G. “A novel method for mapping land cover changes: integrating time and space with geostatistics,” IEEE Transactions on Geoscience and Remote Sensing 44(11): 3427-3435.
2005 Seto, K. C. “Economies, societies, and landscapes in transition: Examples from the Pearl River Delta, China and the Red River Delta, Vietnam,” in Population, Land Use, Environment: Research Directions. National Research Council Panel on New Research on Population and the Environment. Entwisle, B. and Stern, P., eds., pp. 193-218. NRC Press. Matson, P., Luers, A. L., Seto, K. C., Naylor, R., and Ortiz-Monasterio, I. “People, land use, and environment in the Yaqui Valley, Sonora, Mexico,” in Population, Land Use, Environment: Research Directions. National Research Council Panel on New Research on Population and the Environment. Entwisle, B. and Stern, P., eds., pp. 238-264. NRC Press.
2004 Seto, K. C., Woodcock, C. E., and Kaufmann, R. K. “Land cover/land use change: A case study of the Pearl River Delta, China,” in Land Change Science: Observing, Monitoring, and Understanding Trajectories of Change on the Earth's Surface, Gutman, G. and Justice, C., eds., pp. 223-246. Kluwer Academic Publishers. Brown, D., Walker, R., Manson, S., and Seto, K. C. “Modeling land cover and land use change,” in Land Change Science: Observing, Monitoring, and Understanding Trajectories of Change on the Earth's Surface, Gutman, G. and Justice, C., eds., pp. 395-409. Kluwer Academic Publishers. Elvidge, C. D., Sutton, P. C., Wagner, T. W., Ryznar, R., Goetz, S. J., Smith, A. J., Jantz, C., Seto, K. C., Imhoff, M. L., Yang, Y. Q., Milesi, C., and Nemani, R. “Urbanization,” in Land Change Science: Observing, Monitoring, and Understanding Trajectories of Change on the Earth's Surface, Gutman, G. and Justice, C., eds., pp. 315-328. Kluwer Academic Publishers. Boucher, A., Seto, K. C., and Journél, A. G. “Mapping land cover changes with Landsat imagery and spatio-temporal geostatistics,” Seventh International Geostatistics Congress. Sept. 26- Oct. 1, Banff, Canada.
2003 Seto, K. C., and Liu, W. G. “Comparing ARTMAP neural network with Maximum-Likelihood for detecting urban change: the effect of class resolution,” Photogrammetric Engineering and Remote Sensing 69(9): 981-990. Duong, N. D., Thoa, L. K., Hoan, H. T., Tuan, T.A., Thu, H.L., and Seto, K. C. “A study on the urban growth of Hanoi using multi-temporal and multi-sensor remote sensing data,” Asian Journal of Geoinformatics 3(3): 69-72.
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