China 1km DMSP-OLS Night Light Data Set (1992-2020)


The data set mainly covers long time sequence night light information in mainland China. The data storage format is GeoTIFF, and the spatial resolution is 1-km. The processing method is to simulate the relationship between NPP-VIIRS data and DMSP-OLS data. NPP-VIIRS data from 2013 to 2020 is used to simulate DMSP-OLS data from 2013 to 2020, so as to obtain a similar DMSP-OLS dataset from 1992 to 2020. Firstly, the nuclear density method is used to resample the spatial fraction of NPP-VIIRS data to 1-km. Based on the "S" curve relationship between the resampled NPP-VIIRS data and DMSP-OLS data after logarithmic conversion, the sigmoid function is used to convert the logarithmic NPP-VIIRS data into analog DMSP-OLS data. The DMSP-OLS data calibrated from 1992 to 2013 and analog DMSP-OLS data from 2013 to 2020 are spliced into similar DMSP-OLS data from 1992 to 2020


File naming and required software

The data naming method from 1992 to 2013 is DMSPyyyy.tif
Data naming method from 2013 to 2021: DMSP-likeyyyy.tif


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Cite as:

Shi, K. (2022). China 1km DMSP-OLS Night Light Data Set (1992-2020). Upper Yangtze River Scientific Data Center, DOI: https://doi.org/10.7910/DVN/GIYGJU. (Download the reference:

Related Literatures:

1. Wu Y, Shi K*, Chen Z, Liu S et al. Developing improved time-Series DMSP-OLS-Like data (1992–2019) in China by integrating DMSP-OLS and SNPP-VIIRS[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, 4407714.( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.


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License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)


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Keywords
Geographic coverage
East: 130.71 West: 74.15
South: 17.97 North: 54.47
Details
  • Temporal resolution: Yearly
  • Spatial resolution: 100m - 1km
  • File size: 40 MB
  • Views: 228
  • Downloads: 1
  • Access: Open Access
  • Temporal coverage: 1992-2020
  • Updated time: 2022-10-17
Contacts
: SHI Kaifang   

Distributor: 重庆金佛山喀斯特生态系统国家野外科学观测研究站数据中心

Email: data@westdc.cn

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