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Long Time Series Nighttime Light Dataset of China (2000-2020)


ZHONG Xiaoya1,2YAN Qingwu*1,3LI Guie1,3
1 Observation and Research Station of Ministry of Education for Resource Exhausted Mining Area Land Restoration and Ecological Succession,China University of Mining and Technology,Xuzhou 221116,China2 School of Environment and Spatial Informatics,China University of Mining and Technology,Xuzhou 221116,China3 School of Public Policy and Management School of Emergency Management,China University of Mining and Technology,Xuzhou 221116,China

DOI:10.3974/geodb.2022.06.01.V1

Published:Jun. 2022

Visitors:3400       Data Files Downloaded:1556      
Data Downloaded:442763.59 MB      Citations:

Key Words:

DMSP/OLS; NPP/VIIRS; nighttime light remote sensing

Abstract:

Nighttime light image data reflects the brightness of surface light at night and represent the intensity of human activity. Long time series of nighttime light data provides important reference for the urban development. Based on Version 4 Defense Meteorological Satellite Program Operational Linescan System (DMSP-OLS) nighttime light data and Suomi National Polar-orbiting Partnership Visible Infrared Imaging Radiometer Suite (NPP-VIIRS) nighttime light data, the authors developed a long time series nighttime light dataset of China (2000-2020) using data pretreatment, data correction and data fusion from annually DMSP-OLS (2000-2013) nighttime light data and monthly NPP-VIIRS (April 2012-December 2020) nighttime light data. The dataset consists of four parts: 1) revised EANTLI dataset from 2000 to 2013; 2) processed monthly NPP-VIIRS nighttime light data from April 2012 to December 2020; 3) annual NPP-VIIRS nighttime light data from 2012 to 2020; 4) annual EANTLI-Like nighttime light data from 2000 to 2020. The spatial resolution of monthly and annual NPP-VIIRS nighttime light data is 500 m, and others data is 1 km. The dataset is archived in .tif data format, and consists of 750 data files with data size of 2.21 GB (Compressed into 1.71 GB in 6 files).

Foundation Item:

Ministry of Education of P.R. China (2021ZDPY0205); Ministry of Science and Technology of P.R. China (2014FY110800); National Natural Science Foundation of China (42101459);

Data Citation:

ZHONG Xiaoya, YAN Qingwu*, LI Guie. Long Time Series Nighttime Light Dataset of China (2000-2020)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2022. https://doi.org/10.3974/geodb.2022.06.01.V1.

References:

[1] Zheng, Q. M. Nighttime light data processing methodologies and polycentric city monitoring [D]. Hangzhou: Zhejiang University, 2020.
     [2] Chen, Y. B., Zheng, Z. H., Wu, Z. F., et al. Review and prospect of application of nighttime light remote sensing data [J]. Progress in Geography, 2019, 38(2): 205-223.
     [3] Dong, H. S., Li, R. J., Li, J. M., et al. Study on urban spatiotemporal expansion pattern of three first-class urban agglomerations in China derived from integrated DMSP-OLS and NPP-VIIRS nighttime light data [J]. Journal of Geo-information Science, 2020, 22(5): 1161-1174.
     [4] Zhao, X., Xia, X., Liu, X., et al. Combining DMSP/OLS nighttime light with echo state network for prediction of daily PM2.5 average concentrations in Shanghai, China [J]. Atmosphere, 2015, 6(10): 1507-1520.
     [5] Elvidge, C. D. A fifteen year record of global natural gas flaring derived from satellite data [J]. Energies, 2009, 3(2): 595-622.
     [6] Levin, N., Kyba, C., Zhang, Q., et al. Remote sensing of night lights: A review and an outlook for the future [J]. Remote Sensing of Environment, 2020, 237(C): 111443.
     [7] Cao, Z. Y., Wu, Z. F., Mi, S. J., et al. A method for classified correction of stable DMSP/OLS nighttime light imagery across China [J]. Journal of Geo-information Science, 2020, 22(2): 246-257.
     [8] Zhong, X. Y., Yan, Q. W., Li, F., et al. A continuous correction method for years of DMSP/OLS nighttime light images in urban shrinkage area [J]. Geography and Geo-Information Science, 2021, 37(6): 46-51.
     [9] Zhuo, L., Zhang, X. F., Zheng, J., et al. An EVI-based method to reduce saturation of DMSP/OLS nighttime light data [J]. Acta Geographica Sinica, 2015, 70(8): 1339-1350.
     [10] Li, M. F., Cai, W. H. Calibration for multi-temporal NPP /VIIRS nighttime light remote sensing images [J]. Bulletin of surveying and mapping, 2019(7): 122-126.
     [11] Zhao, M., Zhou, Y., Li, X., et al. Building a series of consistent night-time light data (1992-2018) in Southeast Asia by integrating DMSP-OLS and NPP-VIIRS [J]. IEEE Transactions on Geoscience and Remote Sensing, 2019, 99: 1-14.
     [12] Chen, Z., Yu, B., Yang, C., et al. An extended time series (2000–2018) of global NPP-VIIRS-like nighttime light data from a cross-sensor calibration [J]. Earth System Science Data, 2021, 13(3): 889-906.

Data Product:

ID Data Name Data Size Operation
1 EANTLI_2000-2013.rar 125990.92KB
2 EANTLI_Like_2000-2020.rar 225145.47KB
3 NPP_VIIRS_2012-2020.rar 124308.42KB
4 NPP_VIIRS_201204-201412.rar 393536.34KB
5 NPP_VIIRS_201501-201712.rar 448232.84KB
6 NPP_VIIRS_201801-202012.rar 484204.03KB
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