Potentiality of using luojia 1-01 nighttime light imagery to investigate artificial light pollution

Sensors (Switzerland)

Volumn 18, Issue 9, 2018, Pages

  Jiang, Wei ^a,b   He, Guojin ^a,c,d   Long, Tengfei ^a,c,d   Guo, Hongxiang ^a,b   Yin, Ranyu ^a,b   Leng, Wanchun ^a,b   Liu, Huichan ^a,c,d   Wang, Guizhou ^a,c,d  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^c Key Laboratory of Earth Observation Hainan Province   (China)

^d Key Laboratory of the Earth Observation of Hainan Province   (China)

Author keywords

Human activity; Light pollution; Luojia 1 01; Nighttime light imagery; NPP VIIRS

Indexed keywords

ECONOMICS; LAND USE; LUMINANCE; THERMOGRAPHY (IMAGING);

HUMAN ACTIVITIES; LIGHT POLLUTION; LUOJIA 1-01; NIGHT-TIME LIGHTS; NPP/VIIRS;

RIVER POLLUTION;

EID: 85052821534     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s18092900     Document Type: Article

References (52)

1. Falchi, F.; Cinzano, P.; Duriscoe, D.; Kyba, C.C.M.; Elvidge, C.D.; Baugh, K.; Portnov, B.A.; Rybnikova, N.A.; Furgoni, R. The new world atlas of artificial night sky brightness. Sci. Adv. 2016, 2, e1600377. [CrossRef] [PubMed]
2. Riegel, K.W. Light pollution: Outdoor lighting is a growing threat to astronomy. Science 1973, 179, 1285–1291. [CrossRef] [PubMed]
3. Longcore, T.; Rich, C. Ecological light pollution. Front. Ecol. Environ. 2004, 2, 191–198. [CrossRef]
4. Rodriguez, A.; Rodriguez, B.; Negro, J.J. GPS tracking for mapping seabird mortality induced by light pollution. Sci. Rep. 2015, 5, 16070. [CrossRef] [PubMed]
5. Mazor, T.; Levin, N.; Possingham, H.P.; Levy, Y.; Rocchini, D.; Richardson, A.J.; Kark, S. Can satellite-based night lights be used for conservation? The case of nesting sea turtles in the mediterranean. Biol. Conserv. 2013, 159, 63–72. [CrossRef]
6. Raap, T.; Pinxten, R.; Eens, M. Light pollution disrupts sleep in free-living animals. Sci. Rep. 2015, 5, 13557. [CrossRef] [PubMed]
7. Jiang, W.; He, G.; Leng, W.; Long, T.; Wang, G.; Liu, H.; Peng, Y.; Yin, R.; Guo, H. Characterizing light pollution trends across protected areas in china using nighttime light remote sensing data. ISPRS Int. J. Geo-Inf. 2018, 7, 243. [CrossRef]
8. De Freitas, J.R.; Bennie, J.; Mantovani, W.; Gaston, K.J. Exposure of tropical ecosystems to artificial light at night: Brazil as a case study. PLoS ONE 2017, 12, e0171655. [CrossRef] [PubMed]
9. Stevens, R.G.; Brainard, G.C.; Blask, D.E.; Lockley, S.W.; Motta, M.E. Breast cancer and circadian disruption from electric lighting in the modern world. Ca-Cancer J. Clin. 2014, 64, 207–218. [CrossRef] [PubMed]
10. Rybnikova, N.A.; Portnov, B.A. Outdoor light and breast cancer incidence: A comparative analysis of DMSP and VIIRS-DNB satellite data. Int. J. Remote Sens. 2017, 38, 5952–5961. [CrossRef]
11. Falchi, F.; Cinzano, P.; Elvidge, C.D.; Keith, D.M.; Haim, A. Limiting the impact of light pollution on human health, environment and stellar visibility. J. Environ. Manag. 2011, 92, 2714–2722. [CrossRef] [PubMed]
12. Shi, K.F.; Chen, Y.; Yu, B.L.; Xu, T.B.; Yang, C.S.; Li, L.Y.; Huang, C.; Chen, Z.Q.; Liu, R.; Wu, J.P. Detecting spatiotemporal dynamics of global electric power consumption using DMSP-OLS nighttime stable light data. Appl. Energy 2016, 184, 450–463. [CrossRef]
13. 2 (carbon dioxide) emission dynamics in china from DMSP-OLS nighttime stable light data using panel data analysis. Appl. Energy 2016, 168, 523–533. [CrossRef]
14. Jiang, W.; He, G.J.; Long, T.F.; Wang, C.; Ni, Y.; Ma, R.Q. Assessing light pollution in china based on nighttime light imagery. Remote Sens. 2017, 9, 135. [CrossRef]
15. Li, X.; Li, D. Can night-time light images play a role in evaluating the syrian crisis? Int. J. Remote Sens. 2014, 35, 6648–6661. [CrossRef]
16. Li, X.; Chen, F.; Chen, X. Satellite-observed nighttime light variation as evidence for global armed conflicts. IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens. 2013, 6, 2302–2315. [CrossRef]
17. Chen, Z.Q.; Yu, B.L.; Song, W.; Liu, H.X.; Wu, Q.S.; Shi, K.F.; Wu, J.P. A new approach for detecting urban centers and their spatial structure with nighttime light remote sensing. IEEE Geosci. Remote Sens. 2017, 55, 6305–6319. [CrossRef]
18. Hanel, A.; Posch, T.; Ribas, S.J.; Aube, M.; Duriscoe, D.; Jechow, A.; Kollath, Z.; Lolkema, D.E.; Moore, C.; Schmidt, N.; et al. Measuring night sky brightness: Methods and challenges. J. Quant. Spectrosc. Radiat. Transf. 2018, 205, 278–290. [CrossRef]
19. Jechow, A.; Kollath, Z.; Ribas, S.J.; Spoelstra, H.; Holker, F.; Kyba, C.C.M. Imaging and mapping the impact of clouds on skyglow with all-sky photometry. Sci. Rep. 2017, 7, 6741. [CrossRef] [PubMed]
20. Bennie, J.; Duffy, J.P.; Davies, T.W.; Correa-Cano, M.E.; Gaston, K.J. Global trends in exposure to light pollution in natural terrestrial ecosystems. Remote Sens. 2015, 7, 2715–2730. [CrossRef]
21. Bennie, J.; Davies, T.W.; Duffy, J.P.; Inger, R.; Gaston, K.J. Contrasting trends in light pollution across europe based on satellite observed nighttime lights. Sci. Rep. 2014, 4, 3789. [CrossRef] [PubMed]
22. Wu, J.; Ma, L.; Li, W.; Peng, J.; Liu, H. Dynamics of urban density in china: Estimations based on DMSP/OLS nighttime light data. IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens. 2014, 7, 4266–4275. [CrossRef]
23. Huang, Q.; He, C.; Gao, B.; Yang, Y.; Liu, Z.; Zhao, Y.; Dou, Y. Detecting the 20 year city-size dynamics in China with a rank clock approach and DMSP/OLS nighttime data. Landsc. Urban Plan. 2015, 137, 138–148. [CrossRef]
24. Li, X.; Xu, H.M.; Chen, X.L.; Li, C. Potential of NPP-VIIRS nighttime light imagery for modeling the regional economy of China. Remote Sens. 2013, 5, 3057–3081. [CrossRef]
25. Shi, K.F.; Yu, B.L.; Huang, Y.X.; Hu, Y.J.; Yin, B.; Chen, Z.Q.; Chen, L.J.; Wu, J.P. Evaluating the ability of NPP-VIIRS nighttime light data to estimate the gross domestic product and the electric power consumption of china at multiple scales: A comparison with DMSP-OLS data. Remote Sens. 2014, 6, 1705–1724. [CrossRef]
26. Elvidge, C.D.; Baugh, K.; Zhizhin, M.; Hsu, F.C.; Ghosh, T. Viirs nighttime lights. Int. J. Remote Sens. 2017, 38, 5860–5879. [CrossRef]
27. He, C.Y.; Shi, P.J.; Li, J.G.; Chen, J.; Pan, Y.Z.; Li, J.; Zhuo, L.; Toshiaki, I. Restoring urbanization process in China in the 1990s by using non-radiance calibrated DMSP/OLS nighttime light imagery and statistical data. Chin. Sci. Bull. 2006, 51, 1614–1620. [CrossRef]
28. Zhou, Y.; Smith, S.J.; Zhao, K.; Imhoff, M.; Thomson, A.; Bond-Lamberty, B.; Asrar, G.R.; Zhang, X.; He, C.; Elvidge, C.D. A global map of urban extent from nightlights. Environ. Res. Lett. 2015, 10, 0554011. [CrossRef]
29. Yu, B.; Shi, K.; Hu, Y.; Huang, C.; Chen, Z.; Wu, J. Poverty evaluation using NPP-VIIRS nighttime light composite data at the county level in China. IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens. 2015, 8, 1217–1229. [CrossRef]
30. Li, X.; Zhang, R.; Huang, C.Q.; Li, D.R. Detecting 2014 northern iraq insurgency using nighttime light imagery. Int. J. Remote Sens. 2015, 36, 3446–3458. [CrossRef]
31. Witmer, F.D.W. Remote sensing of violent conflict: Eyes from above. Int. J. Remote Sens. 2015, 36, 2326–2352. [CrossRef]
32. Jiang, W.; He, G.J.; Long, T.F.; Liu, H.C. Ongoing conflict makes yemen dark: From the perspective of nighttime light. Remote Sens. 2017, 9, 798. [CrossRef]
33. Butt, M.J. Estimation of light pollution using satellite remote sensing and geographic information system techniques. GISci. Remote Sens. 2012, 49, 609–621. [CrossRef]
34. Kyba, C.; Kuester, T.; Sanchez de Miguel, A.; Baugh, K.; Jechow, A.; Holker, F.; Bennie, J.; Elvidge, C.; Gaston, K.; Guanter, L.; et al. Artificially lit surface of earth at night increasing in radiance and extent. Sci. Adv. 2017, 3, e1701528. [CrossRef] [PubMed]
35. The Luojia-La Scientific Experimental Satellite Was Successfully Launched. Available online: http://www. lmars.whu.edu.cn/index.php/en/researchnews/2169.html (accessed on 2 August 2018).
36. High-Resolution Earth Observation System Hubei Data and Application Network. Available online: http://www.hbeos.org.cn/(accessed on 1 August 2018).
37. Long, T.F.; Jiao, W.L.; He, G.J.; Zhang, Z.M. A fast and reliable matching method for automated georeferencing of remotely-sensed imagery. Remote Sens. 2016, 8, 56. [CrossRef]
38. Long, T.F.; Jiao, W.L.; He, G.J. RPC estimation via L1-norm-regularized least squares (L1LS). IEEE Geosci. Remote Sens. 2015, 53, 4554–4567. [CrossRef]
39. Levin, N.; Johansen, K.; Hacker, J.M.; Phinn, S. A new source for high spatial resolution nighttime images-the EROS-B commercial satellite. Remote Sens. Environ. 2014, 149, 1–12. [CrossRef]
40. Rybnikova, N.; Haim, A.; Portnov, B.A. Artificial light at night (ALAN) and breast cancer incidence worldwide: A revisit of earlier findings with analysis of current trends. Chronobiol. Int. 2015, 32, 757–773. [CrossRef] [PubMed]
41. Cho, K.; Ito, R.; Shimoda, H.; Sakata, T. Fishing fleet lights and sea surface temperature distribution observed by DMSP-OLS sensor. Int. J. Remote Sens. 1999, 20, 3–9. [CrossRef]
42. Straka III, W.C.; Seaman, C.J.; Baugh, K.; Cole, K.; Stevens, E.; Miller, S.D. Utilization of the suomi national polar-orbiting partnership (NPP) visible infrared imaging radiometer suite (VIIRS) day/night band for arctic ship tracking and fisheries management. Remote Sens. 2015, 7, 971–989. [CrossRef]
43. Davies, T.W.; Duffy, J.P.; Bennie, J.; Gaston, K.J. Stemming the tide of light pollution encroaching into marine protected areas. Conserv. Lett. 2016, 9, 164–171. [CrossRef]
44. Katz, Y.; Levin, N. Quantifying urban light pollution—A comparison between field measurements and EROS-B imagery. Remote Sens. Environ. 2016, 177, 65–77. [CrossRef]
45. Gallaway, T.; Olsen, R.N.; Mitchell, D.M. The economics of global light pollution. Ecol. Econ. 2010, 69, 658–665. [CrossRef]
46. Chen, J.; Yang, S.T.; Li, H.W.; Zhang, B.; Lv, J.R. Research on geographical environment unit division based on the method of natural breaks (Jenks). In Proceedings of the ISPRS/IGU/ICA Joint Workshop on Borderlands Modelling and Understanding for Global Sustainability 2013, Beijing, China, 5–6 December 2013; pp. 47–50.
47. Li, X.; Elvidge, C.; Zhou, Y.Y.; Cao, C.Y.; Warner, T. Remote sensing of night-time light. Int. J. Remote Sens. 2017, 38, 5855–5859. [CrossRef]
48. Zheng, Q.; Weng, Q.; Huang, L.; Wang, K.; Deng, J.; Jiang, R.; Ye, Z.; Gan, M. A new source of multi-spectral high spatial resolution night-time light imagery—JL1-3B. Remote Sens. Environ. 2018, 215, 300–312. [CrossRef]
49. Kyba, C.C.M.; Garz, S.; Kuechly, H.; de Miguel, A.S.; Zamorano, J.; Fischer, J.; Hoelker, F. High-resolution imagery of earth at night: New sources, opportunities and challenges. Remote Sens. 2015, 7, 1–23. [CrossRef]
50. Bois, C.; Bodrogi, P.; Khanh, T.Q.; Winkler, H. Measuring, simulating and optimizing current led phosphor systems to enhance the visual quality of lighting. J. Solid State Light. 2014, 1, 5. [CrossRef]
51. Jechow, A.; Ribas, S.J.; Domingo, R.C.; Holker, F.; Kollath, Z.; Kyba, C.C.M. Tracking the dynamics of skyglow with differential photometry using a digital camera with fisheye lens. J. Quant. Spectrosc. Radiat. Transf. 2018, 209, 212–223. [CrossRef]
52. Elvidge, C.D.; Ziskin, D.; Baugh, K.E.; Tuttle, B.T.; Ghosh, T.; Pack, D.W.; Erwin, E.H.; Zhizhin, M. A fifteen year record of global natural gas flaring derived from satellite data. Energies 2009, 2, 595–622. [CrossRef]