A cluster-based method to map urban area from DMSP/OLS nightlights

[1]  Yuyu Zhou,et al.  Assessing impact of urban impervious surface on watershed hydrology using distributed object-oriented simulation and spatial regression , 2014 .

[2]  S. Frolking,et al.  A global fingerprint of macro-scale changes in urban structure from 1999 to 2009 , 2013 .

[3]  K. Seto,et al.  The Vegetation Adjusted NTL Urban Index: A new approach to reduce saturation and increase variation in nighttime luminosity , 2013 .

[4]  Zhifeng Liu,et al.  Extracting the dynamics of urban expansion in China using DMSP-OLS nighttime light data from 1992 to 2008 , 2012 .

[5]  M. Jacobson,et al.  Effects of Urban Surfaces and White Roofs on Global and Regional Climate , 2012 .

[6]  Yuyu Zhou,et al.  Estimation of the relationship between remotely sensed anthropogenic heat discharge and building energy use , 2012 .

[7]  K. Seto,et al.  Mapping urbanization dynamics at regional and global scales using multi-temporal DMSP/OLS nighttime light data , 2011 .

[8]  Shamil Maksyutov,et al.  A very high-resolution (1 km×1 km) global fossil fuel CO2 emission inventory derived using a point source database and satellite observations of nighttime lights , 2011 .

[9]  Christopher A. Barnes,et al.  Completion of the 2006 National Land Cover Database for the conterminous United States. , 2011 .

[10]  Daniel Mendoza,et al.  Modeling energy consumption and CO2 emissions at the urban scale: Methodological challenges and insights from the United States , 2010 .

[11]  M. Friedl,et al.  Mapping global urban areas using MODIS 500-m data: new methods and datasets based on 'urban ecoregions'. , 2010 .

[12]  Arthur J. Gold,et al.  Modeling watershed rainfall–runoff relations using impervious surface-area data with high spatial resolution , 2010 .

[13]  Zengxiang Zhang,et al.  Spatial patterns and driving forces of land use change in China during the early 21st century , 2010 .

[14]  Shuwen Zhang,et al.  Spatial patterns and driving forces of land use change in China during the early 21st century , 2010 .

[15]  Thomas Blaschke,et al.  Object based image analysis for remote sensing , 2010 .

[16]  Y. Zhang,et al.  A REVIEW ON IMAGE SEGMENTATION TECHNIQUES WITH REMOTE SENSING PERSPECTIVE , 2010 .

[17]  Osamu Higashi,et al.  A SVM-based method to extract urban areas from DMSP-OLS and SPOT VGT data , 2009 .

[18]  Mikhail Zhizhin,et al.  A Fifteen Year Record of Global Natural Gas Flaring Derived from Satellite Data , 2009 .

[19]  Christopher D. Elvidge,et al.  Global Urban Mapping Based on Nighttime Lights , 2009 .

[20]  N. T. Hoan,et al.  Global urban characterization using population density, DMSP and MODIS data , 2009, 2009 Joint Urban Remote Sensing Event.

[21]  Christopher D. Elvidge,et al.  Overview of DMSP nightime lights and future possibilities , 2009, 2009 Joint Urban Remote Sensing Event.

[22]  Dengsheng Lu,et al.  Regional mapping of human settlements in southeastern China with multisensor remotely sensed data , 2008 .

[23]  Yuyu Zhou,et al.  Photogrammetric Engineering & Remote Sensing Extraction of Impervious Surface Areas from High Spatial Resolution Imagery by Multiple Agent Segmentation and Classification , 2022 .

[24]  C. Woodcock,et al.  Compact, Dispersed, Fragmented, Extensive? A Comparison of Urban Growth in Twenty-five Global Cities using Remotely Sensed Data, Pattern Metrics and Census Information , 2008 .

[25]  K. Parvati,et al.  Image Segmentation Using Gray-Scale Morphology and Marker-Controlled Watershed Transformation , 2008 .

[26]  M. McKinney,et al.  Effects of urbanization on species richness: A review of plants and animals , 2008, Urban Ecosystems.

[27]  Yuyu Zhou,et al.  An Assessment of Impervious Surface Areas in Rhode Island , 2007 .

[28]  Christopher D. Elvidge,et al.  Potential for global mapping of development via a nightsat mission , 2007 .

[29]  R. Nemani,et al.  Global Distribution and Density of Constructed Impervious Surfaces , 2007, Sensors.

[30]  Christopher D. Elvidge,et al.  Christopher D. ElvidgeJeffrey SafranBenjamin TuttlePaul Sutton • Pierantonio CinzanoDonald PettitJohn ArvesenChristopher Small Potential for global mapping of development via a nightsat , 2007 .

[31]  P. Shi,et al.  Restoring urbanization process in China in the 1990s by using non-radiance-calibrated DMSP/OLS nighttime light imagery and statistical data , 2006 .

[32]  Thomas J. Cova,et al.  Mapping “Exurbia” in the Conterminous United States Using Nighttime Satellite Imagery , 2006 .

[33]  S. Carpenter,et al.  Global Consequences of Land Use , 2005, Science.

[34]  J. M. Shepherd,et al.  A Review of Current Investigations of Urban-Induced Rainfall and Recommendations for the Future , 2005 .

[35]  C. Elvidge,et al.  Spatial analysis of global urban extent from DMSP-OLS night lights , 2005 .

[36]  Gilberto Câmara,et al.  Estimating population and energy consumption in Brazilian Amazonia using DMSP night-time satellite data , 2005, Comput. Environ. Urban Syst..

[37]  Limin Yang,et al.  Development of a 2001 National land-cover database for the United States , 2004 .

[38]  Taylor H. Ricketts,et al.  The consequences of urban land transformation on net primary productivity in the United States , 2004 .

[39]  Paul C. Sutton,et al.  A scale-adjusted measure of Urban sprawl using nighttime satellite imagery , 2003 .

[40]  P. Sutton,et al.  Building and Evaluating Models to Estimate Ambient Population Density , 2003 .

[41]  Thomas Blaschke,et al.  A comparison of three image-object methods for the multiscale analysis of landscape structure , 2003 .

[42]  P. Gong,et al.  Validation of urban boundaries derived from global night-time satellite imagery , 2003 .

[43]  Xavier Cufí,et al.  Strategies for image segmentation combining region and boundary information , 2003, Pattern Recognit. Lett..

[44]  Elizabeth Brabec,et al.  Impervious Surfaces and Water Quality: A Review of Current Literature and Its Implications for Watershed Planning , 2002 .

[45]  H. R. Sinclair,et al.  Assessing the Impact of Land Conversion to Urban Use on Soils with Different Productivity Levels in the USA , 2001 .

[46]  J. Muller,et al.  Night-time Imagery as a Tool for Global Mapping of Socioeconomic Parameters and Greenhouse Gas Emissions , 2000 .

[47]  Limin Yang,et al.  Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data , 2000 .

[48]  J. E. Dobson,et al.  LandScan: A Global Population Database for Estimating Populations at Risk , 2000 .

[49]  T. Owen,et al.  Using DMSP-OLS light frequency data to categorize urban environments associated with US climate observing stations , 1998 .

[50]  C. Elvidge,et al.  A Technique for Using Composite DMSP/OLS "City Lights"Satellite Data to Map Urban Area , 1997 .

[51]  C. Elvidge,et al.  Mapping City Lights With Nighttime Data from the DMSP Operational Linescan System , 1997 .

[52]  C. Elvidge,et al.  Relation between satellite observed visible-near infrared emissions, population, economic activity and electric power consumption , 1997 .

[53]  Curtis E. Woodcock,et al.  Nested-hierarchical scene models and image segmentation , 1992 .