Nighttime light (NTL) remote sensing data offer unique capabilities to characterize both the extent and intensity of human activities and have been extensively used to understand urbanization. The recent proliferation of daily NTL time series data products provides new opportunities to unveil temporal change patterns of human activities and urbanization process at a finer temporal scale，compared with the traditional yearly and monthly composite NTL data. However, the high temporal variation and intertwined uncertainties of daily NTL time series data have formed formidable challenges. In this talk, I will share my analysis and perspectives on the key uncertainties and challenges in daily NTL time series data and their impacts on NTL-based urban applications.

nighttime light data