Department of Geological and Atmospheric Sciences, Iowa State University, Ames, IA, 50011, USA.
Sci Data. 2020 Jun 4;7(1):168. doi: 10.1038/s41597-020-0510-y.
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.
来自国防气象卫星计划(DMSP)/操作扫描线系统(OLS)和苏尼国家极地轨道伙伴关系卫星上的可见红外成像辐射计套件(VIIRS)的夜间灯光(NTL)数据为从区域到全球范围监测人类活动提供了极好的机会。尽管 DMSP(1992-2013 年)和 VIIRS(2012-2018 年)的夜景记录具有重要价值,但由于 DMSP 和 VIIRS 之间存在严重的不一致性,NTL 观测的历史档案的潜力尚未得到充分开发。在这项研究中,我们通过协调 DMSP 数据中的互校准 NTL 观测值和 VIIRS 数据中的模拟 DMSP 样 NTL 观测值,生成了一个全球范围内的综合和一致的 NTL 数据集。生成的全球 DMSP NTL 时间序列数据(1992-2018 年)显示出一致的时间趋势。这个时间延长的 DMSP NTL 数据集为与人类活动相关的各种研究提供了有价值的支持,例如电力消耗和城市范围动态。