Karen C. Seto
Primary tabs
The new geography of contemporary urbanization and the environment. Annual Review of Environment and Resources. 35:167-194.
.
2010. Evolving rank-size distributions of intra-metropolitan urban clusters in South China. Computers, Environment and Urban Systems. 33(3):189-199.
.
2009. From Bangalore to the Bay Area: Comparing transportation and activity accessibility as drivers of urban growth. Landscape & Urban Planning. 92(1):24-33.
.
2009. Global Urban Issues: A Primer. Global Mapping of Human Settlements: Experiences, Data Sets, and Prospects. :3-9.
.
2009. Global urban land-use trends and climate impacts. Current Opinion in Environmental Sustainability. 1(1):89-95.
.
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.
.
2009. Environmental impacts of urban growth from an integrated dynamic perspective: A case study of Shenzhen, South China. Global Environmental Change. 18(4):720-735.
.
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.
.
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.
.
2008. 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.
.
2007. Climate response to rapid urban growth: Evidence of a human-induced precipitation deficit. Journal of Climate. 20(10):2299-2306.
.
2007. Mangrove conversion and aquaculture development in Vietnam: A remote sensing-based approach for evaluating the Ramsar Convention on Wetlands. Global Environmental Change. 3-4:486-500.
.
2007. Modeling urban growth in data-sparse environments: A new approach. Environment and Planning B. 34(5):858-883.
.
2007. Urban Land Use Change Models, Uncertainty, and Policymaking in Rapidly Growing Developing World Cities. Land Use Change: Science, Policy and Management . :139-160.
.
2007. Urbanization in China: The Pearl River Delta Example. Our Changing Planet: A View from Space. :186-189.
.
2007. A novel method for mapping land cover changes: Incorporating time and space with geostatistics. IEEE Transactions on Geoscience and Remote Sensing. 44(11):3427.
.
2006. Urban Land Use Prediction Model with Spatiotemporal Data Mining and GIS. Urban Remote Sensing. :165-178.
.
2006. 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.
.
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.
.
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.
.
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.
.
2005. ART-MMAP: A neural network approach to sub-pixel classification. IEEE Transactions on Geoscience and Remote Sensing. 42(9):1976-1983.
.
2004. Linking spatial patterns of bird and butterfly species richness with Landsat TM derived NDVI. International Journal of Remote Sensing. 25(20):4309-4324.
.
2004. Urban growth in South China: Winners and losers of China’s policy reforms. Petermanns geographische Mitteilungen. 148(5):50-57.
.
2004. Comparing ARTMAP neural network with Maximum-Likelihood classifier for detecting urban change. Photogrammetric Engineering and Remote Sensing. 69(9):981-990.
.
2003. .
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.
.
2003. Monitoring land-use change in the Pearl River Delta using Landsat TM. International Journal of Remote Sensing. 23(10):1985-2004.
.
2002. 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.
.
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.
.
2001. Landsat reveals China's farmland reserves, but they're vanishing fast. Nature. 406(6792):121.
.
2000.