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llmstxt.info directory · Standard
Light Pollution Map
Community listing
llms.txt reachable
AI Impact Score 100/100 · A
Light Pollution Map provides structured information for AI assistants via an llms.txt file. Industry: Websites & Publishers / Webseite & Online-Auftritt. The website lightpollutionmap.app provides its llms.txt at https://lightpollutionmap.app/llms.txt. Listed since 12 May 2026.
llms.txt address
https://lightpollutionmap.app/llms.txt
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llms.txt — current content
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# Light Pollution Map
> Light Pollution Map is an interactive web application maintained by the Stargazing Hub Team. It compares annual light-pollution layers, provisional 2026 estimates, clear-night climate, and other astronomy-planning context.
This website provides light pollution maps independently calculated by LightPollutionMap.app from NOAA VIIRS annual night-light data. Users can search for specific locations, view decimal Bortle values derived from modeled SQM, access SQM readings and all-sky skyglow views, and use tools for astrophotography planning including exposure time calculations and aurora forecasting.
## Core Information
- [Light Pollution Map Homepage](https://lightpollutionmap.app): The main application showing the interactive light pollution map with Bortle Scale data
- [About & Data](https://lightpollutionmap.app/about-data/): Maintainer, current data status, update policy, sources, limits, and citation guidance
- [Homepage Markdown](https://lightpollutionmap.app/index.md): AI-readable summary of the main application
- [Full AI Reference](https://lightpollutionmap.app/llms-full.txt): Expanded reference for features, data sources, use cases, and related apps
- [Structured Knowledge JSON](https://lightpollutionmap.app/knowledge/site.json): Programmatic site overview and canonical resource list
- [Global Light Pollution Rankings](https://lightpollutionmap.app/global-light-pollution-rankings/): Country and region rankings by SQM and artificial brightness
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