Karen C. Seto

Found 69 results
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Filters: Author is Karen C. Seto
2007
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.
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.
2006
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.
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.
2005
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.
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.
2004
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.
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.
2003
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.
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.
2002
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.
2001
Kaufman RK, Seto KC.  2001.  Change detection, accuracy, and bias in a sequential analysis of Landsat imagery in the Pearl River Delta, China: econometric techniques. Agriculture, Ecosystems & Environment. 85(1-3):95-105.
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.
2000
Seto KC, Kaufman RK, Woodcock CE.  2000.  Landsat reveals China's farmland reserves, but they're vanishing fast. Nature. 406(6792):121.