The DOI matches its Crossref record; 191 of the 191 references it cites were found in a registry or an index.
Applications of Satellite Remote Sensing of Nighttime Light Observations: Advances, Challenges, and Perspectives
Open accessAbstract
Nighttime light observations from remote sensing provide us with a timely and spatially explicit measure of human activities, and therefore enable a host of applications such as tracking urbanization and socioeconomic dynamics, evaluating armed conflicts and disasters, investigating fisheries, assessing greenhouse gas emissions and energy use, and analyzing light pollution and health effects. The new and improved sensors, algorithms, and products for nighttime lights, in association with other Earth observations and ancillary data (e.g., geo-located big data), together offer great potential for a deep understanding of human activities and related environmental consequences in a changing world. This paper reviews the advances of nighttime light sensors and products and examines the contributions of nighttime light remote sensing to perceiving the changing world from two aspects (i.e., human activities and environmental changes). Based on the historical review of the advances in nighttime light remote sensing, we summarize the challenges in current nighttime light remote sensing research and propose four strategic directions, including: Improving nighttime light data; developing a long time series of consistent nighttime light data; integrating nighttime light observations with other data and knowledge; and promoting multidisciplinary and interdisciplinary analyses of nighttime light observations.
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Citations
Cites
Citizens as sensors: the world of volunteered geography
Goodchild, M. F. (2007) · GeoJournal · doi:10.1007/s10708-007-9111-y · Cited by 4,522
Greenhouse-gas emission targets for limiting global warming to 2 °C
Meinshausen, M., Meinshausen, N., Hare, W., Raper, S. C. B., Frieler, K., Knutti, R., Frame, D. J., & Allen, M. R. (2009) · Nature · doi:10.1038/nature08017 · Cited by 2,775
Measuring Economic Growth from Outer Space
Henderson, J. V., Storeygard, A., & Weil, D. N. (2012) · American Economic Review · doi:10.1257/aer.102.2.994 · Cited by 2,596
The Human Footprint and the Last of the Wild
SANDERSON, E. W., JAITEH, M., LEVY, M. A., REDFORD, K. H., WANNEBO, A. V., & WOOLMER, G. (2002) · BioScience · doi:10.1641/0006-3568(2002)052[0891:thfatl]2.0.co;2 · Cited by 2,469
Combining satellite imagery and machine learning to predict poverty
Jean, N., Burke, M., Xie, M., Davis, W. M., Lobell, D. B., & Ermon, S. (2016) · Science · doi:10.1126/science.aaf7894 · Cited by 1,664
The new world atlas of artificial night sky brightness
Falchi, F., Cinzano, P., Duriscoe, D., Kyba, C. C. M., Elvidge, C. D., Baugh, K., Portnov, B. A., Rybnikova, N. A., & Furgoni, R. (2016) · Science Advances · doi:10.1126/sciadv.1600377 · Cited by 1,646
Self-citationLongcore, T., & Rich, C. (2004) · Frontiers in Ecology and the Environment · doi:10.1890/1540-9295(2004)002[0191:elp]2.0.co;2 · Cited by 1,423
Using luminosity data as a proxy for economic statistics
Chen, X., & Nordhaus, W. D. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1017031108 · Cited by 1,188
Elvidge, C. D., Baugh, K., Zhizhin, M., Hsu, F. C., & Ghosh, T. (2017) · International Journal of Remote Sensing · doi:10.1080/01431161.2017.1342050 · Cited by 964
Self-citationArtificially lit surface of Earth at night increasing in radiance and extent
Kyba, C. C. M., Kuester, T., Sánchez de Miguel, A., Baugh, K., Jechow, A., Hölker, F., Bennie, J., Elvidge, C. D., Gaston, K. J., & Guanter, L. (2017) · Science Advances · doi:10.1126/sciadv.1701528 · Cited by 948
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A global record of annual terrestrial Human Footprint dataset from 2000 to 2018
Mu, H., Li, X., Wen, Y., Huang, J., Du, P., Su, W., Miao, S., & Geng, M. (2022) · Scientific Data · doi:10.1038/s41597-022-01284-8 · Cited by 745
Self-citationA harmonized global nighttime light dataset 1992–2018
Li, X., Zhou, Y., Zhao, M., & Zhao, X. (2020) · Scientific Data · doi:10.1038/s41597-020-0510-y · Cited by 614
Self-citationFeng, M., Zhao, W., & Zhang, T. (2023) · Sustainability · doi:10.3390/su15118478 · Cited by 25
Metadata
- Authors
- Zhao, M., Zhou, Y., Li, X., Cao, W., He, C., Yu, B., Li, X., Elvidge, C. D., Cheng, W., & Zhou, C.
- Venue
- Remote Sensing
- Publisher
- MDPI AG
- Published
- 2019-08-21
- Volume
- 11
- Issue
- 17
- Pages
- 1971
- ISSN
- 2072-4292 (ISSN-L)
- OpenAlex
- W2969571546
- Cited by
- 346
- References
- 191
- FWCI
- 14.96
- Type
- journal article
- Language
- en
- Open access
- gold
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- Zhao, M., Zhou, Y., Li, X., Cao, W., He, C., Yu, B., Li, X., Elvidge, C. D., Cheng, W., & Zhou, C. (2019). Applications of Satellite Remote Sensing of Nighttime Light Observations: Advances, Challenges, and Perspectives. Remote Sensing. https://doi.org/10.3390/rs11171971
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