A harmonized global nighttime light dataset 1992-2018

被引：397

作者：

Li, Xuecao ^{[1
]}

Zhou, Yuyu ^{[1
]}

Zhao, Min ^{[1
]}

Zhao, Xia ^{[1
]}

机构：

[1] Iowa State Univ, Dept Geol & Atmospher Sci, Ames, IA 50011 USA

来源：

SCIENTIFIC DATA | 2020年 / 7卷 / 01期

关键词：

ANNUAL URBAN-DYNAMICS; DMSP-OLS; CALIBRATION; RECORD; INTERCALIBRATION; POPULATION; PRODUCT; AREA;

D O I：

10.1038/s41597-020-0510-y

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Nighttime light (NTL) data from the Defense Meteorological Satellite Program (DMSP)/Operational Linescan System (OLS) and the Visible Infrared Imaging Radiometer Suite (VIIRS) on the Suomi National Polar-orbiting Partnership satellite provide a great opportunity for monitoring human activities from regional to global scales. Despite the valuable records of nightscape from DMSP (1992-2013) and VIIRS (2012-2018), the potential of the historical archive of NTL observations has not been fully explored because of the severe inconsistency between DMSP and VIIRS. In this study, we generated an integrated and consistent NTL dataset at the global scale by harmonizing the inter-calibrated NTL observations from the DMSP data and the simulated DMSP-like NTL observations from the VIIRS data. The generated global DMSP NTL time-series data (1992-2018) show consistent temporal trends. This temporally extended DMSP NTL dataset provides valuable support for various studies related to human activities such as electricity consumption and urban extent dynamics.

引用

页数：9

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