A dynamic model for population mapping: a methodology integrating a Monte Carlo simulation with vegetation-adjusted night-time light images

References

• Amaral, S., A. M. V. Monteiro, G. Camara, and J. A. Quintanilha. 2006. “DMSP-OLS Night-time Light Imagery for Urban Population Estimates in the Brazilian Amazon.” International Journal of Remote Sensing 27: 855–870. doi:10.1080/01431160500181861.
   Web of Science ®Google Scholar
• Baidu Map. 2014. Available online with website. Accessed October 9. http://map.baidu.com/ (in Chinese).
   Google Scholar
• Balk, D. L., U. Deichmann, G. Yetman, F. Pozzi, S. I. Hay, and A. Nelson. 2006. “Determining Global Population Distribution: Methods, Applications and Data.” Advances in Parasitology 62: 119–156. doi:10.1016/S0065-308X(05)62004-0.
   PubMed Web of Science ®Google Scholar
• Bhaduri, B., E. Bright, P. Coleman, and M. L. Urban. 2007. “LandScan USA: A High-Resolution Geospatial and Temporal Modeling Approach for Population Distribution and Dynamics.” Springer NL Geo Journal 69: 103–117. doi:10.1007/s10708-007-9105-9.
   Google Scholar
• Bigemap. 2014. “Software Package for Map Downloading.” Accessed Sepetember 1. http://www.bigemap.com/index.php (in Chinese).
   Google Scholar
• Brown, M. E., J. E. Pinzon, D. Kamel, J. T. Morisette, and C. J. Tucker. 2006. “Evaluation of the Consistency of Long-term NDVI Time Series Derived from AVHRR, SPOT-Vegetation, SeaWiFS, MODIS, and Landsat ETM+ Sensors.” IEEE Transactions on Geoscience and Remote Sensing 44: 1787–1793. doi:10.1109/TGRS.2005.860205.
   Web of Science ®Google Scholar
• Chen, K., J. Mcaneney, R. Blong, R. Leigh, L. Hunter, and C. Magill. 2004. “Defining Area at Risk and its Effect in Catastrophe Loss Estimation: A Dasymetric Mapping Approach.” Applied Geography 24: 97–117. doi:10.1016/j.apgeog.2004.03.2005.
   Web of Science ®Google Scholar
• Data Sharing Infrastructure of Earth System Science. 2000. “Land use Data base of China 2000.” Accessed October 12, 2014. http://www.geodata.cn/Portal/metadata/viewMetadata.jsp?id=100101-43 (in Chinese).
   Google Scholar
• Deichmann, U. 1996. “A Review of Spatial Population Database Design and Modeling. Santa Barbara: National Centre for Geographic Information and Analysis, University of California.” Accessed October 10, 2014. http://www.ncgia.ucsb.edu/Publications/Tech_Reports/96/96-3.PDF
   Google Scholar
• Elvidge, C. D., P. Cinzano, D. R. Pettit, J. Arvesen, P. Sutton, C. Small, R. Nemani, T. Longcore, C. Rich, J. Safran, J. Weeks, and S. Ebener. 2007. “The NightSat Mission Concept.” International Journal of Remote Sensing 28 (12): 2645–2670. doi:10.1080/01431160600981525.
   PubMed Web of Science ®Google Scholar
• Elvidge, C. D., and E. H. Erwin. 2009. “Overview of DMSP Nightime Lights and Future Possibilities.” Urban Remote Sensing Joint Event. Accessed December 11, 2014. https://www.ufz.de/export/data/1/25701_PDF_download
   Google Scholar
• Elvidge, C. D., M. L. Imhoff, K. E. Baugh, V. R. Hobson, I. Nelson, J. Safran, J. B. Dietz, and B. T. Tuttle. 2001. “Night-time Lights of the World: 1994–1995.” ISPRS Journal of Photogrammetry & Remote Sensing 56 (2): 81–99. doi:10.1016/S0924-2716(01)00040-5.
   Web of Science ®Google Scholar
• ESRI. 2015. “Method Introduction of Euclidean Distance of Arcgis.” Accessed May 11. resources.arcgis.com/en/help/main/10.1/index.html#//009z0000001p000000.
   Google Scholar
• Gaughan, A. E., F. R. Stevens, C. Linard, P. Jia, A. J. Tatem, and F. Pappalardo. 2013. “High Resolution Population Distribution Maps for Southeast Asia in 2010 and 2015.” PLoS ONE 8 (2): e55882. doi:10.1371/journal.pone.0055882.
   PubMed Web of Science ®Google Scholar
• GRUMP (Global Rural-Urban Mapping Project), Version 1. 2005 “Socioeconomic Data and Applications Center (SEDAC), Columbia University.” Accessed October 3, 2014. http://sedac.ciesin.columbia.edu/data/set/grump-v1-population-density
   Google Scholar
• GPW (Gridded Population of the World), Version 3. 2005 “Socioeconomic Data and Applications Center (SEDAC), Columbia University.” Accessed July 10, 2013. http://sedac.ciesin.columbia.edu/data/set/gpw-v3-population-density
   Google Scholar
• Harvey, J. T. 2002. “Population Estimation Models based on Individual TM Pixels.” Photogrammetric Engineering and Remote Sensing 68: 1181–1192.
   Web of Science ®Google Scholar
• He, C. Y., Q. Ma, Z. F. Liu, and Q. F. Zhang. 2014. “Modeling the Spatiotemporal Dynamics of Electric Power Consumption in Mainland China Using Saturation Corrected DMSP/OLS Night Time Stable Light Data.” International Journal of Digital Earth 7: 993–1014. doi:10.1080/17538947.2013.822026.
   Web of Science ®Google Scholar
• Henderson, M., E. T. Yeh, P. Gong, C. Elvidge, and K. Baugh. 2003. “Validation of Urban Boundaries Derived from Global Night-time Satellite Imagery.” International Journal of Remote Sensing 24 (3): 595–609. doi:10.1080/01431160304982.
   Web of Science ®Google Scholar
• Imhoff, M. L., W. T. Lawrence, D. C. Stutter, and C. D. Elvidge. 1997. “A Technique for Using Composite DMSP-OLS ‘City Lights’ Satellite Data to Map Urban Area.” Remote Sensing of Environment 61 (3): 361–370. doi:10.1016/S0034-4257(97)00046-1.
   Web of Science ®Google Scholar
• IPCC. 2001. “Quantifying Uncertainties in Practice. In IPCC Good Practice Guidance and Uncertainty Management in National Greenhouse Gas Inventories.” Accessed February 2015. http://www.ipcc-nggip.iges.or.jp/public/gp/english/6_Uncertainty.pdf
   Google Scholar
• Linard, C., M. Gilbert, R. W. Snow, A. M. Noor, and A. J. Tatem. 2012. “Population Distribution, Settlement Patterns and Accessibility across Africa in 2010.” PLoS ONE 7 (2): e31743. doi:10.1371/journal.pone.0031743.
   PubMed Web of Science ®Google Scholar
• Liu, J., M. Liu, H. Tian, D. Zhuang, Z. Zhang, W. Zhang, X. Tang, and X. Deng. 2005. “Spatial and Temporal Patterns of China’s Cropland During 1990–2000: An Analysis Based on Landsat TM Data.” Remote Sensing of Environment 98: 442–456. doi:10.1016/j.rse.2005.08.012.
   Web of Science ®Google Scholar
• Liu, J., Z. Zhang, D. Zhuang, Y. Wang, W. Zhou, S. Zhang, R. Li, N. Jiang, and S. Wu. 2003. “A Study on the Spatial-temporal Dynamic Changes of Land Use and Driving Forces Analyses of China in the 1990s.” Geographical Research 22 (1): 1–12.
   Google Scholar
• Lo, C. P. 2001. “Modeling the Population of China Using DMSP Operational Linascan System Night Data.” Photogrammetric Engineering & Remote Sensing 37: 1037–1047.
   Google Scholar
• Lu, D., H. Tian, G. Zhou, and H. Ge. 2008. “Regional Mapping of Human Settlements in Southeastern China with Multisensor Remotely Sensed Data.” Remote Sensing of Environment 112: 3668–3679. doi:10.1016/j.rse.2008.05.009.
   Web of Science ®Google Scholar
• NOAANGDC (National Geophysical Data Center of National Oceanic and Atmospheric Administration). 2014. “Global DMSP-OLS Nighttime Lights Time Series 1992–2013 (Version 4).” Accessed November 7. http://ngdc.noaa.gov/eog/download.html
   Google Scholar
• NBS (National Bureau of Statistics). 2000. “The Fifth Census Dataset.” Accessed December 20, 2014. http://www.stats.gov.cn/tjsj/ndsj/renkoupucha/2000pucha/pucha.htm
   Google Scholar
• NBS (National Bureau of Statistics). 2010. “The Sixth Census Dataset.” Accessed December 20, 2014. http://www.stats.gov.cn/tjsj/pcsj/rkpc/6rp/indexch.htm
   Google Scholar
• Nemani, R., and S. Running. 1997. “Land Cover Characterization Using Multitemporal Red, Near-IR, and Thermal-IR Data from NOAA/AVHRR.” Ecological Applications 7 (1): 79–90. doi:10.2307/2269408.
   Web of Science ®Google Scholar
• Oak Ridge National Laboratory. 2014. “LandScan TM Global Population Database. 1998–2012.” Accessed December 13. http://www.ornl.gov/LandScan/
   Google Scholar
• Pandey, B., P. K. Joshi, and K. C. Seto. 2013. “Monitoring Urbanization Dynamics in India Using DMSP/OLS Night Time Lights and SPOT-VGT Data.” International Journal of Applied Earth Observation and Geoinformation 23: 49–61. doi:10.1016/j.jag.2012.11.005.
   Web of Science ®Google Scholar
• Pranab, K. R. C., S. Maithani, and V. K. Dadhwal. 2012. “Estimation of Urban Population in Indo-Gangetic Plains Using Night-time OLS data.” International Journal of Remote Sensing 33 (8): 2498–2515. doi:10.1080/01431161.2011.616550.
   Web of Science ®Google Scholar
• Small, C., F. Pozzi, and C. D. Elvidge. 2005. “Spatial Analysis of Global Urban Extent from DMSP-OLS Night Lights.” Remote Sensing of Environment 96: 277–291. doi:10.1016/j.rse.2005.02.002.
   Web of Science ®Google Scholar
• Song, G., Z. Li, Y. Bao, H. Lv, J. Gao, T. Xu, and Y. Cheng. 2007. “Spatial Distribution Regularity and Influence Factors of Population Density in the LRGR.” Chinese Science Bulletin 52 (S2): 90–97. doi:10.1007/s11434-007-7027-z.
   Web of Science ®Google Scholar
• Sutton, P. 1997. “Modeling Population Density with Nighttime Satellite Imagery and GIS.” Computers, Environment and Urban Systems 21 (3–4): 227–244. doi:10.1016/S0198-9715(97)01005-3.
   Google Scholar
• Tatem, A. J., N. Campiz, P. W. Gething, R. W. Snow, and C. Linard. 2011. “The Effects of Spatial Population Dataset Choice on Estimates of Population at Risk of Disease.” Population Health Metrics 9: 4. doi:10.1186/1478-7954-9-4.
   PubMed Web of Science ®Google Scholar
• Tatem, A. J., A. M. Noor, C. V. Hagen, A. D. Gregorio, S. I. Hay, and P. Gething. 2007. “High Resolution Population Maps for Low Income Nations: Combining Land Cover and Census in East Africa.” PLoS ONE 2 (12): e1298. doi:10.1371/journal.pone.0001298.
   PubMed Web of Science ®Google Scholar
• UNESCO (United Nations Educational, Scientific, and Cultural Organization). 1987. “United Nations Environment Programme/Global Resource Information Database (UNEP/GRID).” Accessed January 20, 2015. http://na.unep.net/siouxfalls/datasets/datalist.php.
   Google Scholar
• UNPD (United Nations Population Division). 2011. “World Population Prospects: The 2010 Revision Volume I: Comprehensive Tables. ST/ESA/SER.A/313.” Accessed December 12, 2014. http://esa.un.org/wpp/documentation/pdf/WPP2010_Volume-I_Comprehensive-Tables.pdf
   Google Scholar
• UNPDDESA (United Nations, Population Division, Department of Economic and Social Affairs). 2001. “Population, Environment and Development.” Accessed December 12, 2014. http://www.un.org/esa/population/publications/pdewallchart/popenvdev.pdf
   Google Scholar
• VITO: Flemish Institute Technological Research, Belgium. 2014. “SPOT VEGETATION NDVI Dataset.” Accessed December 13. http://www.vgt.vito.be
   Google Scholar
• Yang, X., W. Yue, and D. Gao. 2013. “Spatial Improvement of Human Population Distribution Based on Multi-sensor Remote-sensing Data: An Input for Exposure Assessment.” International Journal of Remote Sensing 34 (15): 5569–5583. doi:10.1080/01431161.2013.792970.
   Web of Science ®Google Scholar
• Yang, Y., C. He, Q. Zhang, L. Han, and S. Du. 2013. “Timely and Accurate National-scale Mapping of Urban Land in China using Defense Meteorological Satellite Program’s Operational Linescan System Nighttime Stable Light.” Journal of Applied Remote Sensing 7 (1): 073535. doi:10.1117/1.JRS.7.073535.
   Google Scholar
• Zeng, C., Y. Zhou, S. Wang, F. Yan, and Q. Zhao. 2011. “Population Spatialization in China Based on Night-Time Imagery and Land Use Data.” International Journal of Remote Sensing 32: 9599–9620. doi:10.1080/01431161.2011.569581.
   Web of Science ®Google Scholar
• Zhang, Q., C. Schaaf, and K. C. Seto. 2013. “The Vegetation Adjusted NTL Urban Index: A New Approach to Reduce Saturation and Increase Variation in Nighttime Luminosity.” Remote Sensing of Environment 129: 32–41. doi:10.1016/j.rse.2012.10.022.
   Web of Science ®Google Scholar
• Zhuo, L., J. Chen, P. J. Shi, Z. H. Fan, and Y. D. Fan. 2005. “Modeling Population Density of China in 1998 Based on DMSP/OLS Nighttime Light Image.” Acta Geographica Sinica 60 (2): 266–276.
   Google Scholar