English

Lumos in the Night Sky: AI-enabled Visual Tool for Exploring Night-Time Light Patterns

Human-Computer Interaction 2023-06-07 v1 Artificial Intelligence Information Retrieval Machine Learning

Abstract

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.

Cite

@article{arxiv.2306.03195,
  title  = {Lumos in the Night Sky: AI-enabled Visual Tool for Exploring Night-Time Light Patterns},
  author = {Jakob Hederich and Shreya Ghosh and Zeyu He and Prasenjit Mitra},
  journal= {arXiv preprint arXiv:2306.03195},
  year   = {2023}
}

Comments

5 pages, 3 figures. Accepted in ECML PKDD Demo track

R2 v1 2026-06-28T10:57:08.671Z