20 years after reforms: Challenges to planning and development in China’s city-regions and opportunities for remote sensing KC Seto, M Fragkias, A Schneider Applied remote sensing for urban planning, governance and sustainability …, 2007 | 15 | 2007 |
64 Contemporary urbanization in India C Mitra, B Pandey, NB Allen, KC Seto The Routledge Handbook of Urbanization and Global Environmental Change, 64-76, 0 | | |
8 Urban Land Use S Data, W Liu, KC Seto, Z Sun, Y Tian Urban Remote Sensing, 165, 2007 | | 2007 |
8 Urban Land-Use Change M Fragkias, KC Seto Land Use Change: Science, Policy and Management, 139, 2008 | | 2008 |
A comparison of nighttime lights data for urban energy research: Insights from scaling analysis in the US system of cities M Fragkias, J Lobo, KC Seto Environment and Planning B: Urban Analytics and City Science 44 (6), 1077-1096, 2017 | 18 | 2017 |
A conceptual framework for an urban areas typology to integrate climate change mitigation and adaptation W Solecki, KC Seto, D Balk, A Bigio, CG Boone, F Creutzig, M Fragkias, ... Urban Climate 14, 116-137, 2015 | 111 | 2015 |
A critical knowledge pathway to low‐carbon, sustainable futures: Integrated understanding of urbanization, urban areas, and carbon P Romero‐Lankao, KR Gurney, KC Seto, M Chester, RM Duren, ... Earth's Future 2 (10), 515-532, 2014 | 74 | 2014 |
A global fingerprint of macro-scale changes in urban structure from 1999 to 2009 S Frolking, T Milliman, KC Seto, MA Friedl Environmental Research Letters 8 (2), 024004, 2013 | 172 | 2013 |
A global outlook on urbanization KC Seto, S Parnell, T Elmqvist Urbanization, biodiversity and ecosystem services: Challenges and …, 2013 | 314 | 2013 |
A global urban microwave backscatter time series data set for 1993–2020 using ERS, QuikSCAT, and ASCAT data S Frolking, T Milliman, R Mahtta, A Paget, DG Long, KC Seto Scientific Data 9 (1), 1-12, 2022 | 9 | 2022 |
A meta-analysis of global urban land expansion KC Seto, M Fragkias, B Güneralp, MK Reilly PloS one 6 (8), e23777, 2011 | 2419 | 2011 |
A method to analyze the food-water-energy nexus for data-sparse cities: A comparison of green roofs in São José dos Campos, Brazil and Johannesburg, South Africa F Meng, Q Yuan, R Bellezoni, JP de Oliveira, Y Hu, R Jing, G Liu, Z Yang, ... | 1 | 2022 |
A new urban narrative for sustainable development M Keith, E Birch, NJA Buchoud, M Cardama, W Cobbett, M Cohen, ... Nature Sustainability, 1-3, 2022 | 45 | 2022 |
A novel method for mapping land cover changes: Incorporating time and space with geostatistics A Boucher, KC Seto, AG Journel IEEE Transactions on Geoscience and Remote Sensing 44 (11), 3427-3435, 2006 | 82 | 2006 |
A robust method to generate a consistent time series from DMSP/OLS nighttime light data Q Zhang, B Pandey, KC Seto IEEE Transactions on Geoscience and Remote Sensing 54 (10), 5821-5831, 2016 | 174 | 2016 |
A synthesis of global urbanization projections M Fragkias, B Güneralp, KC Seto, J Goodness Urbanization, biodiversity and ecosystem services: Challenges and …, 2013 | 97 | 2013 |
A systematic review and assessment of algorithms to detect, characterize, and monitor urban land change M Reba, KC Seto Remote Sensing of Environment 242, 111739, 2020 | 164 | 2020 |
Advancing land change modeling: opportunities and research requirements D Brown, LE Band, KO Green, EG Irwin, A Jain, EF Lambin, RG Pontius, ... The National Research Council Press, 2013 | 94 | 2013 |
An automated algorithm to detect timing of urban conversion of agricultural land with high temporal frequency MODIS NDVI data B Pandey, Q Zhang, KC Seto Urbanization and Global Change Group. Yale University, 2013 | 3 | 2013 |
ART-MMAP: A neural network approach to subpixel classification W Liu, KC Seto, EY Wu, S Gopal, CE Woodcock IEEE transactions on geoscience and remote sensing 42 (9), 1976-1983, 2004 | 94 | 2004 |