Spatial improvement of human population distribution based on multi-sensor remote-sensing data: an input for exposure assessment

International Journal of Remote Sensing

Volumn 34, Issue 15, 2013, Pages 5569-5583

  Yang, Xuchao ^a   Yue, Wenze ^b,c   Gao, Dawei ^d  

^a ZHEJIANG SCI TECH UNIVERSITY   (China)

^b ZHEJIANG UNIVERSITY   (China)

^c China University of Geosciences Beijing)   (China)

^d Zhejiang Climate Center   (China)

Author keywords

[No Author keywords available]

Indexed keywords

FORESTRY; IMAGE ENHANCEMENT; PIXELS; POPULATION DYNAMICS; POPULATION STATISTICS; REMOTE SENSING; RISK ANALYSIS; RISK ASSESSMENT; RISK PERCEPTION; SATELLITE IMAGERY; SURVEYING;

DEFENSE METEOROLOGICAL SATELLITE PROGRAM / OPERATIONAL LINESCAN SYSTEM; DIGITAL ELEVATION MODEL; DMSP/OLS NIGHT-TIME LIGHTS; ENHANCED VEGETATION INDEX; HIGH TEMPORAL RESOLUTION; POPULATION DENSITIES; POPULATION DENSITY ESTIMATION; RADIOMETRIC RESOLUTION;

POPULATION DISTRIBUTION;

ACCURACY ASSESSMENT; DIGITAL ELEVATION MODEL; HUMAN SETTLEMENT; PIXEL; POPULATION DENSITY; POPULATION DISTRIBUTION; POPULATION ESTIMATION; REMOTE SENSING; SATELLITE DATA; SATELLITE IMAGERY; SPATIAL ANALYSIS; SPATIAL RESOLUTION; VEGETATION INDEX;

CHINA; ZHEJIANG;

EID: 84877840632     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2013.792970     Document Type: Article

References (36)

1. Amaral, S., Camara, G., Monteiro, A., Quintanilha, J. and Elvidge, C. 2005. Estimating Population and Energy Consumption in Brazilian Amazonia Using DMSP Night-Time Satellite Data. Computers, Environment and Urban Systems, 29: 179-195.
2. Amaral, S., Monteiro, A. M. V., Camara, G. and Quintanilha, J. A. 2006. DMSP/OLS Night-Time Light Imagery for Urban Population Estimates in the Brazilian Amazon. International Journal of Remote Sensing, 27: 855-870.
3. Balk, D. and Yetman, G. 2004. The Global Distribution of Population: Evaluating the Gains in Resolution Refinement, New York: Center for International Earth Science Information Network (CIESIN), Columbia University.
4. Bauer, M. E., Heinert, N. J., Doyle, J. K. and Yuan, F. May 23-28 2004. Impervious Surface Mapping and Change Monitoring Using Landsat Remote Sensing, May 23-28, CO: Paper presented at the ASPRS Annual Conference Proceedings, Denver.
5. Briggs, D. J., Gulliver, J., Fecht, D. and Vienneau, D. M. 2007. Dasymetric Modelling of Small-Area Population Distribution Using Land Cover and Light Emissions Data. Remote Sensing of Environment, 108: 451-466.
6. Chen, K., Mcaneney, J., Blong, R., Leigh, R., Hunter, L. and Magill, C. 2004. Defining Area at Risk and its Effect in Catastrophe Loss Estimation: A Dasymetric Mapping Approach. Applied Geography, 24: 97-117.
7. Dobson, J. E., Bright, E. A., Colemen, P. R., Durfee, R. C. and Worley, B. A. 2000. LandScan: A Global Population Database for Estimating Populations at Risk. Photogrammetric Engineering and Remote Sensing, 66: 849-857.
8. Elvidge, C. D., Baugh, K. E., Kihn, E. A., Kroehl, H. W., Davis, E. R. and Davis, C. W. 1997. Relation between Satellite Observed Visible-Near Infrared Emissions, Population, Economic Activity and Electric Power Consumption. International Journal of Remote Sensing, 18: 1373-1379.
9. Elvidge, C. D., Cinzano, P., Pettit, D. R., Arvesen, J., Sutton, P., Small, C., Nemani, R., Longcore, T., Rich, C., Safran, J., Weeks, J. and Ebner, S. 2007. The Nightsat Mission Concept. International Journal of Remote Sensing, 28: 2645-2670.
10. Gillies, R. R., Box, J. B., Symanzik, J. and Rodemaker, E. J. 2003. Effects of Urbanization on the Aquatic Fauna of the Line Creek Watershed, Atlanta-A Satellite Perspective. Remote Sensing of Environment, 86: 411-422.
11. Hara, M., Okada, S., Yagi, H., Moriyama, T., Shigehara, K. and Sugimori, Y. 2004. Progress for Stable Artificial Lights Distribution Extraction Accuracy and Estimation of Electric Power Consumption by Means of DMSP/OLS Nighttime Imagery. International Journal of Remote Sensing and Earth Sciences, 1: 31-42.
12. Harvey, J. T. 2002. Population Estimation Models based on Individual TM Pixels. Photogrammetric Engineering and Remote Sensing, 68: 1181-1192.
13. He, C., Ma, Q., Li, T., Yang, Y. and Liu, Z. 2012. Spatiotemporal Dynamics of Electric Power Consumption in Chinese Mainland from 1995 to 2008 Modeled Using DMSP/OLS Stable Nighttime Lights Data. Journal of Geographical Sciences, 22: 125-136.
14. Huete, A. and Justice, and W. van Leeuwen, C. 1999. MODIS Vegetation Index (MOD13) Algorithm Theoretical Basis Document (ATBD), Version 3. EOS Project Office, NASA Goddard Space Flight Center, Greenbelt, MD.
15. Imhoff, M. L., Lawrence, W. T., Elvidge, C. D., Paul, T., Levine, E., Privalsky, M. V. and Brown, V. 1997. Using Nighttime DMSP/OLS Images of City Lights to Estimate the Impact of Urban Land Use on Soil Resources in the United States. Remote Sensing of Environment, 59: 105-117.
16. IPCC. 2012. " Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change ". In Special Report of the Intergovernmental Panel on Climate Change, edited by, Edited by: Field, C. B., Barros, V., Stocker, T. F., Qin, D., Dokken, D. J., Ebi, K. L., Mastrandrea, M. D., Mach, K. J., Plattner, G. K., Allen, S. K., Tignor, M. and Midgley, P. M. 582 Cambridge: Cambridge University Press.
17. Letu, H., Hara, M., Yagi, H., Naoki, K., Tana, G., Nishio, F. and Shuhei, O. 2010. Estimating Energy Consumption from Night-Time DMPS/OLS Imagery after Correcting for Saturation Effects. International Journal of Remote Sensing, 31: 4443-4458.
18. Lo, C. P. 2001. Modeling the Population of China Using DMSP Operational Linescan System Nighttime Data. Photogrammetric Engineering and Remote Sensing, 67: 1037-1047.
19. Lu, D., Tian, H., Zhou, G. and Ge, H. 2008. Regional Mapping of Human Settlements in Southeastern China with Multisensor Remotely Sensed Data. Remote Sensing of Environment, 112: 3668-3679.
20. Roy Chowdhury, P. K. and Maithani, S. 2010. Monitoring Growth of Built-Up Areas in Indo-Gangetic Plain Using Multi-Sensor Remote Sensing Data. Journal of the Indian Society of Remote Sensing, 38: 291-300.
21. Roy Chowdhury, P. K., Maithani, S. and Dadhwal, V. K. 2012. Estimation of Urban Population in Indo-Gangetic Plains Using Night-Time OLS Data. International Journal of Remote Sensing, 33: 2498-2515.
22. Seifert, I., Thieken, A., Merz, M., Borst, D. and Werner, U. 2010. Estimation of Industrial and Commercial Asset Values for Hazard Risk Assessment. Natural Hazards, 52: 453-479.
23. Small, C., Pozzi, F. and Elvidge, C. 2005. Spatial Analysis of Global Urban Extent from DMSP-OLS Night Lights. Remote Sensing of Environment, 96: 277-291.
24. Sutton, P. 1997. Modeling Population Density with Night-Time Satellite Imagery and GIS. Computers, Environment and Urban Systems, 21: 227-244.
25. Sutton, P., Roberts, D., Elvidge, C. and Meij, H. 1997. A Comparison of Nighttime Satellite Imagery and Population Density for the Continental United States. Photogrammetric Engineering and Remote Sensing, 63: 1303-1313.
26. Thieken, A. H., üller, M. M, Kleist, L., Seifert, I., Borst, D. and Werner, U. 2006. Regionalisation of Asset Values for Risk Analyses. Natural Hazards and Earth System Science, 6: 167-178.
27. Tian, Y., Yue, T., Zhu, L. and Clinton, N. 2005. Modeling Population Density Using Land Cover Data. Ecological Modelling, 189: 72-88.
28. Townsend, A. C. and Bruce, D. A. 2010. The Use of Night-Time Lights Satellite Imagery as a Measure of Australia's Regional Electricity Consumption and Population Distribution. International Journal of Remote Sensing, 31: 4459-4480.
29. Welch, R. 1980. Monitoring Urban Population and Energy Utilization Patterns from Satellite Data. Remote Sensing of Environment, 9: 1-9.
30. Weng, Q., Lu, D. and Schubring, J. 2004. Estimation of Land Surface Temperature-Vegetation Abundance Relationship for Urban Heat Island Studies. Remote Sensing of Environment, 89: 467-483.
31. Yue, T. X., Wang, Y. A., Chen, S. P., Liu, J. Y., Qiu, D. S., Deng, X. Z., Liu, M. L. and Tian, Y. Z. 2003. Numerical Simulation of Population Distribution in China. Population & Environment, 25: 141-163.
32. Yue, T. X., Wang, Y. A., Liu, J. Y., Chen, S. P., Qiu, D. S., Deng, X. Z., Liu, M. L., Tian, Y. Z. and Su, B. P. 2005. "Surface Modelling of Human Population Distribution in China. Ecological Modelling, 181: 461-478.
33. Zandbergen, P. A. and Ignizio, D. A. 2010. Comparison of Dasymetric Mapping Techniques for Small-Area Population Estimates. Cartography and Geographic Information Science, 37: 199-214.
34. Zeng, C., Zhou, Y., Wang, S., Yan, F. and Zhao, Q. 2011. Population Spatialization in China Based on Night-Time Imagery and Land Use Data. International Journal of Remote Sensing, 32: 9599-9620.
35. Zhao, N., Ghosh, T. and Samson, E. L. 2012. Mapping Spatio-Temporal Changes of Chinese Electric Power Consumption Using Night-Time Imagery. International Journal of Remote Sensing, 33: 6304-6320.
36. Zhuo, L., Ichinose, T., Zheng, J., Chen, J., Shi, P. J. and Li, X. 2009. Modelling the Population Density of China at the Pixel Level Based on DMSP/OLS Non-Radiance-Calibrated Night-Time Light Images. International Journal of Remote Sensing, 30: 1003-1018.