Karen C. Seto
Can gains in efficiency offset the resource demands and CO2 emissions from constructing and operating the built environment? Applied Geography. 32(1):40-50.. 2012.
Capturing multiscalar feedbacks in urban land change: a coupled system dynamics spatial logistic approach. Environment and Planning B. 39(5):858-879.. 2012.
Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools. Proceedings of the National Academy of Sciences of the United States of America.. 2012.
Multi-level modeling of urban expansion and cultivated land conversion for urban hotspot counties in China. Landscape and Urban Planning. 108(2-4):131-139.. 2012.
Urban land teleconnections and sustainability. Proceedings of the National Academy of Sciencies of the United States of America. 109(20):7687-7892.. 2012.
Co-occurrence patterns of the dengue vector Aedes aegypti and Aedes mediovitattus, a dengue competent mosquito in Puerto Rico. EcoHealth. 8(3):365-375.. 2011.
Exploring the dynamics of migration to mega-delta cities in Asia and Africa: Contemporary drivers and future scenarios. Global Environmental Change. 21(S1):S94-S107.. 2011.
Mapping urbanization dynamics at regional and global scales using multi-temporal DMSP/OLS nighttime light data. Remote Sensing of the Environment. 115(9):2320-2329.. 2011.
A meta-analysis of global urban land expansion. PLOS ONE. 6:e23777.. 2011.
Interactions between urbanization and global environmental change. Current Opinion in Environmental Sustainability. 2:127-128.. 2010.
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.
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.. 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.