An EVI-based method to reduce saturation of DMSP/OLS nighttime light data

Dili Xuebao/Acta Geographica Sinica

Volumn 70, Issue 8, 2015, Pages 1339-1350

  Zhuo, Li ^a   Zhang, Xiaofan ^a   Zheng, Jing ^b   Tao, Haiyan ^a   Guo, Yubo ^a  

^a SUN YAT SEN UNIVERSITY   (China)

^b Guangdong Climate Center   (China)

Author keywords

DMSP OLS; EANTLI; EVI; Nighttime light; Saturation

Indexed keywords

ELECTRICAL POWER; HETEROGENEITY; HUMAN ACTIVITY; METROPOLITAN AREA; MODIS; NOAA SATELLITE; NUMERICAL METHOD; RADIANCE; SENSOR; SPATIAL DISTRIBUTION; URBAN AREA; VEGETATION INDEX;

CHINA;

EID: 84961746357     PISSN: 03755444     EISSN: None     Source Type: Journal    
DOI: 10.11821/dlxb201508012     Document Type: Article

References (41)

1. Chen Jin, Zhuo Li, Shi Peijun, et al. The study on urbanization process in China based on DMSP/OLS data: Development of a light index for urbanization level estimation. Journal of Remote Sensing, 2003, 7(3): 168-175, 241.
2. Zhuo Li, Shi Peijun, Chen Jin, et al. Application of compound night light index derived from DMSP/OLS data to urbanization analysis in China in the 1990s. Acta Geographica Sinica, 2003, 58(6): 893-902.
3. Zhang Qingling, Seto K C. Mapping urbanization dynamics at regional and global scales using multi-temporal DMSP/ OLS nighttime light data. Remote Sensing of Environment, 2011, 115(9): 2320-2329.
4. Lo C P, Welch R. Chinese urban population estimates. Annals of the Association of American Geographers, 1977, 67(2): 246-253.
5. Lo C P. Modeling the population of China using DMSP operational linescan system nighttime data. Photogrammetric Engineering and Remote Sensing, 2001, 67(9): 1037-1047.
6. Lo C P. Urban indicators of China from radiance-calibrated digital DMSP-OLS nighttime images. Annals of the Association of American Geographers, 2002, 92(2): 225-240.
7. Sutton P C, Roberts D, Elvidge C D, et al. Census from heaven: An estimate of the global human population using nighttime satellite imagery. International Journal of Remote Sensing, 2001, 22(16): 3061-3076.
8. Sutton P C. A scale-adjusted measure of "Urban sprawl" using nighttime satellite imagery. Remote Sensing of Environment, 2003, 86(3): 353-369.
9. Zhuo Li, Chen Jin, Shi Peijun, et al. Modeling population density of China in 1998 based on DMSP/OLS nighttime light image. Acta Geographica Sinica, 2005, 60(2): 266-276.
10. Elvidge C D, Baugh K E, Kihn E A, et al. Relation between satellite observed visible-near infrared emissions, population, economic activity and electric power consumption. International Journal of Remote Sensing, 1997, 18(6): 1373-1379.
11. Amaral S, Câmara G, Monteiro A M V, et al. Estimating population and energy consumption in Brazilian Amazonia using DMSP night-time satellite data. Computers, Environment and Urban Systems, 2005, 29(2): 179-195.
12. Welch R. Monitoring urban population and energy utilization patterns from satellite data. Remote Sensing of Environment, 1980, 9(1): 1-9.
13. Cheng Liyu, Zhou Yi, Wang Litao, et al. An estimate of the city population in China using DMSP night-time satellite imagery. IGARSS 2007, 2007: 691-694.
14. Sutton P C, Taylor M J, Elvidge C D. Using DMSP OLS imagery to characterize urban populations in developed and developing countries. Remote Sensing of Urban and Suburban Areas, 2010: 329-348.
15. Zhuo Li, Ichinose T, Zheng Jing, et al. Modeling 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, 2009, 30(4): 1003-1018.
16. 2 emissions. Energy Policy, 2010, 38(9): 4756-4764.
17. Sutton P C, Elvidge C D, Ghosh T. Estimation of gross domestic product at sub-national scales using nighttime satellite imagery. International Journal of Ecological Economics & Statistics, 2007, 8(7): 5-21.
18. Ghosh T, Powell R L, Elvidge C D, et al. Shedding light on the global distribution of economic activity. The Open Geography Journal, 2010, 3(1): 148-161.
19. Ghosh T, Anderson S, Powell R, et al. Estimation of Mexico's informal economy and remittances using nighttime imagery. Remote Sensing, 2009, 1(3): 418-444.
20. Han Xiangdi, Zhou Yi, Wang Shixin, et al. GDP spatialization in China based on DMSP/OLS data and land use data. Remote Sensing Technology and Application, 2012, 27(3): 396-405.
21. Elvidge C D, Baugh K E, Anderson S J, et al. The Night Light Development Index (NLDI): A spatially explicit measure of human development from satellite data. Social Geography, 2012, 7(1): 23-35.
22. Chen Xi, Nordhaus W D. Using luminosity data as a proxy for economic statistics. Proceedings of the National Academy of Sciences, 2011, 108(21): 8589-8594.
23. Wang Qi, Yuan Tao, Zheng Xinqi. GDP gross analysis at province-level in China based on nighttime light satellite imagery. Urban Development Studies, 2013, 20(7): 44-48.
24. Chand T R Kiran, Badarinath K V S, Elvidge C D, et al. Spatial characterization of electrical power consumption patterns over India using temporal DMSP-OLS night-time satellite data. International Journal of Remote Sensing, 2009, 30(3): 647-661.
25. Chalkias C, Petrakis M, Psiloglou B, et al. Modelling of light pollution in suburban areas using remotely sensed imagery and GIS. Journal of Environmental Management, 2006, 79(1): 57-63.
26. He Chunyang, Ma Qun, Li Tong, et al. 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, 2012, 22 (1): 125-136.
27. Doll C H, Muller J, Elvidge C D. Night-time imagery as a tool for global mapping of socioeconomic parameters and greenhouse gas emissions. AMBIO: a Journal of the Human Environment, 2000, 29(3): 157-162.
28. Li Jinggang, He Chunyang, Shi Peijun, et al. The use of multisource satellite and geospatial data to study the ecological effects of urbanization: A case of the urban agglomerations in Bohai Rim. Journal of Remote Sensing, 2007, 11(1): 115-126.
29. Imhoff M L, Tucker L, Compton J, et al. The use of multisource satellite and geospatial data to study the effect of urbanization on primary productivity in the United States. IEEE Transactions on Geoscience and Remote Sensing, 2000, 38(6): 2549-2556.
30. Imhoff M L, Bounoua L, DeFries R, et al. The consequences of urban land transformation on net primary productivity in the United States. Remote Sensing of Environment, 2004, 89(4): 434-443.
31. Elvidge C D, Baugh K, Dietz J B, et al. Radiance calibration of DMSP-OLS low-light imaging data of human settlements. Remote Sensing of Environment, 1999, 68(1): 77-88.
32. Ziskin D, Baugh K, Hsu F C. Methods used for the 2006 radiance lights. Proceedings of the Asia Pacific Advanced Network, 2010: 131-142.
33. Letu H, Hara M, Yagi H, et al. Estimating energy consumption from night-time DMPS/OLS imagery after correcting for saturation effects. International Journal of Remote Sensing, 2010, 31(16): 4443-4458.
34. Letu H, Hara M, Tana G, et al. A saturated light correction method for DMSP/OLS nighttime satellite imagery. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50(2): 389-396.
35. Zhang Qingling, Schaaf C, Seto K C. The Vegetation adjusted NTL Urban Index: A new approach to reduce saturation and increase variation in nighttime luminosity. Remote Sensing of Environment, 2013, 129: 32-41.
36. Pozzi F, Small C. Analysis of urban land cover and population density in the United States. Photogrammetric Engineering and Remote Sensing, 2005, 71(6): 719-726.
37. Small C. Estimation of urban vegetation abundance by spectral mixture analysis. International Journal of Remote Sensing, 2001, 22(7): 1305-1334.
38. Weng Qihao, Lu Dengsheng, Liang Bingqing. Urban surface biophysical descriptors and land surface temperature variations. Photogrammetric Engineering and Remote Sensing, 2006, 72(11): 1275-1286.
39. Weng Qihao, Lu Dengsheng, Schubring J. Estimation of land surface temperature-vegetation abundance relationship for urban heat island studies. Remote Sensing of Environment, 2004, 89(4): 467-483.
40. Wang Zhengxing, Liu Chuang, Huete Alfredo. From AVHRR-NDVI to MODIS-EVI: Advances in vegetation index research. Acta Ecologica Sinica, 2003, 23(5): 979-987.
41. Huete A R, Justice C O, Van Leeuwen W. MODIS vegetation index (MOD 13). Version 3. Algorithm theoretical basis document. Greenbelt MD: NASA, Goddard Space Flight Center, 1999: 44-45.