  We introduce NightPulse, an interactive tool for Night-time light (NTL) data
visualization and analytics, which enables researchers and stakeholders to
explore and analyze NTL data with a user-friendly platform. Powered by
efficient system architecture, NightPulse supports image segmentation,
clustering, and change pattern detection to identify urban development and
sprawl patterns. It captures temporal trends of NTL and semantics of cities,
answering questions about demographic factors, city boundaries, and unusual
differences.

Human-Computer Interaction;Artificial Intelligence;Information Retrieval;Machine Learning