Analysis of spatial patterns of urban growth across South Asia using DMSP-OLS nighttime lights data

Applied Geography

Volumn 63, Issue , 2015, Pages 292-303

  Zhou, Naijun ^a   Hubacek, Klaus ^a   Roberts, Mark ^b  

^a UNIVERSITY OF MARYLAND   (United States)

^b WORLD BANK   (United States)

Author keywords

DMSP OLS nighttime lights; Economic growth; South Asia; Urban

Indexed keywords

ECONOMIC GROWTH; GIS; GROWTH RATE; SPATIAL ANALYSIS; URBAN AREA; URBAN GROWTH; URBANIZATION;

SOUTH ASIA;

EID: 84937944928     PISSN: 01436228     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apgeog.2015.06.016     Document Type: Article

References (38)

1. Amaral S., Monteiro A., Camara G., Quintanilha J. DMSP/OLS night-time light imagery for urban population estimates in the Brazilian Amazon. International Journal of Remote Sensing 2006, 27(5):855-870.
2. Bennie J., Davies T., Duffy J., Inger R., Gaston K. Contrasting trends in light pollution across Europe based on satellite observed night time lights. Scientific Reports 2014, 4:3789.
3. Brooks D., Stone S. Trade facilitation and regional cooperation in Asia 2010, 201. Edward Elgar Publishing.
4. Chen X., Nordhaus W. Using luminosity data as a proxy for economic statistics. Proceedings of the National Academy of Sciences 2011, 108(21):8589-8594.
5. Chen B., Shi G., Wang B., Zhao J., Tan S. Estimation of the anthropogenic heat release distribution in China from 1992 to 2009. ACTA Meteorological Sinica. 2012, 26:507-515.
6. Croft T. Night-time images of the Earth from Space. Scientific American 1978, 239:68-79.
7. Doll C., Muller J., Morley J. Mapping regional economic activity from night-time light satellite imagery. Ecological Economics 2006, 57(1):75-92.
8. Elvidge C., Baugh K., Anderson S.J., Sutton P.C., Ghosh T. The Lumen Gini coefficient: a satellite imagery derived human development index. Social Geography Discussion 2012, 8:27-59.
9. Elvidge C., Baugh K., Zhizhin M., Hsu F.C. Why VIIRS data are superior to DMSP for mapping night time lights. Proceedings of the Asia-Pacific Advanced Network 2013, 35:62-69.
10. Elvidge C., Baugh K.E., Kihn E.A., Kroehl H.W., Davis E.R., Davis C.W. Relation between satellite observed visible-near infrared emissions, population, and energy consumption. International Journal of Remote Sensing. 1997, 18:1373-1379.
11. Elvidge C.D., et al. Mapping city lights with nighttime data from the dmsp operational linescan system. Photogrammetry Engineering & Remote Sensing 1997, 63:727-734.
12. Gallup J., Sachs J., Mellinger A. Geography and economic development. International Regional Science Review 1999, 22:179-232.
13. Hale J., Davies G., Fairbrass A., Matthews T., Rogers C., Sadler J. Mapping lightscapes: spatial patterning of artificial lighting in an urban landscape. PLoS One 2013, 8(5):e61460.
14. Henderson V., Storeygard A., Weil D.N. Measuring economic growth from outer space. American Economic Review 2012, 102:994-1028.
15. Hsu F., Baugh K., Ghosh T., Zhizhin, Elvidge C. DMSP-OLS radiance calibrated night time lights time series with intercalibration. Remote Sensing 2015, 7:1855-1876.
16. Hsu F., Elvidge C.D., Matsuno Y. Exploring and estimating in-use steel stocks in civil engineering and buildings from night-time lights. International Journal of Remote Sensing 2013, 34(2):490-504.
17. Huang Q., Yang X., Gao B., Yang Y., Zhao Y. Application of DMSP/OLS night time light images: a meta-analysis and a systematic literature review. Remote Sensing 2014, 6(8):6844-6866.
18. Imhoff M.L., Lawrence W.T., Elvidge C.D., Levine E., Privalsky M.V., Brown V. Using night time 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 1997, 59(1):105-117.
19. Kyba C.C.M., Wagner J.M., Kuechly H.U., Walker C.E., Elvidge C.D., Falchi F., et al. Citizen science provides valuable data for monitoring global night sky luminance. Scientific Reports 2013, 3:1835.
20. Levin N., Duke Y. High spatial resolution night-time light images for demographic and socio-economic studies. Remote Sensing of Environment 2012, 119:1-10.
21. Li X., Linlin G., Chen X. Detecting Zimbabwe's decadal economic decline using night time light imagery. Remote Sensing 2013, 5:4551-4570.
22. Limhoff M., et al. Atechnique for using composite DMSP/OLS "City lights" satellite data to map urban area. Remote Sensing of Environment 1997, 61:361-370.
23. Ma T., Zhou C., Pei T., Haynie S., Fan J. Quantitative estimation of urbanization dynamics using time series of DMSP/OLS night time light data: a comparative case study from China's cities. Remote Sensing of Environment 2012, 124:99-107.
24. Mazor T., Levin N., Possingham H.P., Levy Y., Rocchini D., Richardson A.J., et al. Can satellite-based night lights be used for conservation? the case of nesting sea turtles in the Mediterranean. Biological Conservation 2013, 159:63-72.
25. Nordhaus W., Chen X. Asharper image? Estimates of the precision of night time lights as a proxy for economic statistics. Journal of Economic Geography 2015, 15(10):217-246.
26. Propastin P., Kappas M. Assessing satellite-observed night time lights for monitoring socioeconomic parameters in the Republic of Kazakhstan. GIScience & Remote Sensing 2012, 49:538-557.
27. Sahoo P., Dash R. Economic growth in South Asia: role of infrastructure. The Journal of International Trade & Economic Development 2012, 21(2):217-252.
28. Sánchez de M.A., Zamorano J., Gómez Castaño J., Pascual S. Evolution of the energy consumed by street lighting in Spain estimated with DMSP-OLS data. Journal of Quantitative Spectroscopy and Radiative Transfer 2014, 139:109-117.
29. Shi K., Huang C., Yu B., Yin B., Huang Y., Wu J. Evaluation of NPP-VIIRS night-time light composite data for extracting built-up urban areas. Remote Sensing Letters 2014, 5(4):358-366.
30. Small C., Elvidge C., Balk D., Montgomery M. Spatial scaling of stable night lights. Remote Sensing of Environment 2011, 115:269-280.
31. Small C., et al. Spatial analysis of global urban extent from dmsp-OLS night lights. Remote Sensing of Environment 2005, 96:277-291.
32. Storeygard A. Farther on down the road: Transport costs, trade and urban growth in sub-Saharan Africa 2012, World Bank Policy Research Working Paper 6444.
33. Sutton P. Ascale-adjusted measure of 'Urban sprawl' using nightt ime satellite imagery. Remote Sensing of Environment 2003, 86:353-369.
34. Sutton P.C., Costanza R. Global estimates of market and non-market values derived from night time satellite imagery, land cover, and ecosystem service valuation. Ecological Economics 2002, 41(3):509-527.
35. Sutton P.C., Elvidge C.D., Ghosh T. Estimation of gross domestic product at sub-national scales using night time satellite imagery. International Journal of Ecological Economics and Statistics 2007, 8(S07):5-21.
36. Tang L., Cheng H., Qu G. Estimating provincial economic development level of China using DMSP/OLS night time light satellite imagery. Advanced Materials Research 2013, 807-809:1903.
37. Xu T., Ma T., Zhou C., Zhou Y. Characterizing spatio-temporal dynamics of urbanization in China using time series of DMSP/OLS night light data. Remote Sensing 2014, 6(8):7708-7731.
38. Zhao N., Samson E.L. Estimation of virtual water contained in international trade products using night time imagery. International Journal of Applied Earth Observation and Geoinformation 2012, 18:243-250.