Karen C. Seto

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Filters: Author is Karen C. Seto
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Seto KC, Sánchez-Rodríguez R, Fragkias M.  2010.  The new geography of contemporary urbanization and the environment. Annual Review of Environment and Resources. 35:167-194.
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Fragkias M, Seto KC.  2009.  Evolving rank-size distributions of intra-metropolitan urban clusters in South China. Computers, Environment and Urban Systems. 33(3):189-199.
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Reilly MK, O'Mara MP, Seto KC.  2009.  From Bangalore to the Bay Area: Comparing transportation and activity accessibility as drivers of urban growth. Landscape & Urban Planning. 92(1):24-33.
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Seto KC, Gamba P, Harold M.  2009.  Global Urban Issues: A Primer. Global Mapping of Human Settlements: Experiences, Data Sets, and Prospects. :3-9.
Seto KC, J. Shepherd M.  2009.  Global urban land-use trends and climate impacts. Current Opinion in Environmental Sustainability. 1(1):89-95.
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Boucher A, Seto KC, Gamba P, Harold M.  2009.  Methods and Challenges for Using High-Temporal Resolution Data for Monitoring Urban Growth. Global Mapping of Human Settlement: Experiences, Datasets, and Prospects. :339-350.
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Güneralp B, Seto KC.  2008.  Environmental impacts of urban growth from an integrated dynamic perspective: A case study of Shenzhen, South China. Global Environmental Change. 18(4):720-735.
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Seto KC, Ojima D, Song Q, Mosier A, Fu C, Freney JR, Stewart JWB.  2008.  Human drivers of change in the East Asian Monsoon System. Changes In The Human-Monsoon System Of East Asia In The Context Of Global Change. :335-347.
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Liu W, Seto KC.  2008.  Using the ART-MMAP neural network to predict urban growth: a spatio-temporal data mining approach. Environment and Planning B. 35(2):296-317.
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Seto KC, Fragkias M, Schnieder A.  2007.  20 Years After Reforms: Challenges to Planning and Development in China’s City-Regions and Opportunities for Remote Sensing. Applied Remote Sensing for Urban Planning, Governance and Sustainability. :249-269.
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Kaufman RK, Seto KC, Schnieder A, Liu Z, Wang W.  2007.  Climate response to rapid urban growth: Evidence of a human-induced precipitation deficit. Journal of Climate. 20(10):2299-2306.
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Fragkias M, Seto KC.  2007.  Modeling urban growth in data-sparse environments: A new approach. Environment and Planning B. 34(5):858-883.
Fragkias M, Seto KC, Aspinall RJ, Hill MJ.  2007.  Urban Land Use Change Models, Uncertainty, and Policymaking in Rapidly Growing Developing World Cities. Land Use Change: Science, Policy and Management . :139-160.
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Seto KC, King MD, Parkinson CL, Partington KC, Williams RG.  2007.  Urbanization in China: The Pearl River Delta Example. Our Changing Planet: A View from Space. :186-189.
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Boucher A, Seto KC, Journél AG, Weng Q, Quattrochi D.  2006.  A novel method for mapping land cover changes: Incorporating time and space with geostatistics. IEEE Transactions on Geoscience and Remote Sensing. 44(11):3427.
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Liu W, Seto KC, Sun Z, Tian Y.  2006.  Urban Land Use Prediction Model with Spatiotemporal Data Mining and GIS. Urban Remote Sensing. :165-178.
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Seto KC, Entwisle B, Stern PC.  2005.  Economies, societies, and landscapes in transition: Examples from the Pearl River Delta, China and the Red River Delta, Vietnam. Population, Land Use, and Environment: Research Directions. :193-216.
Seto KC, Fragkias M.  2005.  Quantifying spatiotemporal patterns of urban land-use change in four cities of China with time series landscape metrics. Landscape Ecology. 20(7):871-888.
Schnieder A, Seto KC, Webster DR.  2005.  Urban growth in Chengdu, western China: Application of remote sensing to assess planning and policy outcomes. Environment and Planning B. 32(3):323-345.
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Kaufman RK, Seto KC.  2005.  Using logit models to classify land cover and land-cover change from Landsat Thematic Mapper. International Journal of Remote Sensing. 26(3):263-577.
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Liu W, Seto KC.  2004.  ART-MMAP: A neural network approach to sub-pixel classification. IEEE Transactions on Geoscience and Remote Sensing. 42(9):1976-1983.
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Seto KC, Fleishman E., Fay J.P, Betrus C.J.  2004.  Linking spatial patterns of bird and butterfly species richness with Landsat TM derived NDVI. International Journal of Remote Sensing. 25(20):4309-4324.
Seto KC.  2004.  Urban growth in South China: Winners and losers of China’s policy reforms. Petermanns geographische Mitteilungen. 148(5):50-57.
Seto KC, Liu W.  2003.  Comparing ARTMAP neural network with Maximum-Likelihood classifier for detecting urban change. Photogrammetric Engineering and Remote Sensing. 69(9):981-990.
Seto KC, Kaufman RK.  2003.  Modeling the drivers of urban land use change in the Pearl River Delta, China: Integrating remote sensing with socioeconomic data. Land Economics. 79(1):106-121.
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Duong NDinh, Thoa LKim, Hoan NThanh, Tuan TAnh, Le Thu H, Seto KC.  2003.  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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Seto KC, Woodcock CE, Song C, Huang X, Lu J., Kaufman RK.  2002.  Monitoring land-use change in the Pearl River Delta using Landsat TM. International Journal of Remote Sensing. 23(10):1985-2004.
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Song C, Woodcock CE, Seto KC, Lenney MPax, Macomber SA.  2001.  Classification and change detection using Landsat TM data: When and how to correct atmospheric effects? Remote Sensing of the Environment. 75(2):230-244.
Seto KC, Kaufman RK, Woodcock CE.  2000.  Landsat reveals China's farmland reserves, but they're vanishing fast. Nature. 406(6792):121.