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

被引:447
作者
Chen, Zuoqi [1 ,2 ]
Yu, Bailang [3 ,4 ]
Yang, Chengshu [3 ,4 ]
Zhou, Yuyu [5 ]
Yao, Shenjun [3 ,4 ]
Qian, Xingjian [3 ,4 ]
Wang, Congxiao [3 ,4 ]
Wu, Bin [3 ,4 ]
Wu, Jianping [3 ,4 ]
机构
[1] Fuzhou Univ, Key Lab Spatial Data Min & Informat Sharing, Minist Educ, Natl & Local Joint Engn Res Ctr Satellite Geospat, Fuzhou 35002, Peoples R China
[2] Fuzhou Univ, Acad Digital China, Fuzhou 350002, Peoples R China
[3] East China Normal Univ, Minist Educ, Key Lab Geog Informat Sci, Shanghai 200241, Peoples R China
[4] East China Normal Univ, Sch Geog Sci, Shanghai 200241, Peoples R China
[5] Iowa State Univ, Dept Geol & Atmospher Sci, Ames, IA 50011 USA
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
ELECTRIC-POWER CONSUMPTION; DMSP-OLS; CHINA; DYNAMICS; POPULATION; MODEL; EMISSIONS; PATTERNS; NETWORK; PRODUCT;
D O I
10.5194/essd-13-889-2021
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
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 R-2 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).
引用
收藏
页码:889 / 906
页数:18
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