An extended time series (2000–2018) of global NPP-VIIRS-like nighttime light data from a cross-sensor calibration

Earth System Science Data - Tập 13 Số 3 - Trang 889-906
Zuoqi Chen1,2, Bailang Yu3,4, Chengshu Yang3,4, Yuyu Zhou5, Shenjun Yao3,4, Xingjian Qian3,4, Congxiao Wang3,4, Bin Wu3,4, Jianping Wu3,4
1Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, National & Local Joint Engineering Research Center of Satellite Geospatial Information Technology, Fuzhou University, Fuzhou 35002, China
2The Academy of Digital China, Fuzhou University, Fuzhou, 350002, China
3Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai 200241, China
4School of Geographic Sciences, East China Normal University, Shanghai, 200241, China
5Department of Geological and Atmospheric Sciences, Iowa State University, Ames, IA, 50011, USA

Tóm tắt

Abstract. The nighttime light (NTL) satellite data have been widely used to investigate the urbanization process. The Defense Meteorological Satellite Program Operational Linescan System (DMSP-OLS) stable nighttime light data and Suomi National Polar-orbiting Partnership Visible Infrared Imaging Radiometer Suite (NPP-VIIRS) nighttime light data are two widely used NTL datasets. However, the difference in their spatial resolutions and sensor design requires a cross-sensor calibration of these two datasets for analyzing a long-term urbanization process. Different from the traditional cross-sensor calibration of NTL data by converting NPP-VIIRS to DMSP-OLS-like NTL data, this study built an extended time series (2000–2018) of NPP-VIIRS-like NTL data through a new cross-sensor calibration from DMSP-OLS NTL data (2000–2012) and a composition of monthly NPP-VIIRS NTL data (2013–2018). The proposed cross-sensor calibration is unique due to the image enhancement by using a vegetation index and an auto-encoder model. Compared with the annual composited NPP-VIIRS NTL data in 2012, our product of extended NPP-VIIRS-like NTL data shows a good consistency at the pixel and city levels with R2 of 0.87 and 0.95, respectively. We also found that our product has great accuracy by comparing it with DMSP-OLS radiance-calibrated NTL (RNTL) data in 2000, 2004, 2006, and 2010. Generally, our extended NPP-VIIRS-like NTL data (2000–2018) have an excellent spatial pattern and temporal consistency which are similar to the composited NPP-VIIRS NTL data. In addition, the resulting product could be easily updated and provide a useful proxy to monitor the dynamics of demographic and socioeconomic activities for a longer time period compared to existing products. The extended time series (2000–2018) of nighttime light data is freely accessible at https://doi.org/10.7910/DVN/YGIVCD (Chen et al., 2020).

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Earth System Science Data

Tập 13 Số 3

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