[OC] 24 hours of active fire detections from NASA satellites, with the previous week shown as dark burn scars Visualization

What This Visualization Shows

This data visualization displays "[OC] 24 hours of active fire detections from NASA satellites, with the previous week shown as dark burn scars" and provides a clear visual representation of the underlying data patterns and trends. The visualization focuses on Data:

* NASA FIRMS active fire detections, MODIS instrument, from the rolling 7 day global CSV at firms.modaps.eosdis.nasa.gov. * Basemap from Natural Earth.

Tools:

* three.js * d3-geo for the globe, * custom GLSL shaders for the fire, * Python to sanity check the classification, * ffmpeg for the render.

AI disclosure: I used Claude Fable 5 for all of this. it also educated me on the facts about Savanna fires, i had no idea this was a thing until i was checking the data on FIRMS website myself and questioned it

Code: [github.com/me93-ghb/worldburn](http://github.com/me93-ghb/worldburn)

A live globe of every fire the satellites can currently see. It's not a science tool. NASA's own FIRMS fire map does that job properly, and if you want rigor, go there. This just makes the amount of fire on Earth visible in one look, and it does so in a visually shocking way - that was my aim! The fire animations are exaggerated on the globe: it's just a visualization.

Satellites measure where a fire is, how hot it burns and for how long. They can't see who lit it. So fires get split by behaviour, which is measurable:

* fires that keep burning in the same place for days, and fires that flare up and are gone within a day. * Offshore heat is presumed to be a gas flare, though a rig accident or a burning ship would look identical.

Fire makes the news when it threatens homes. I was thinking about the recent news articles from France and Spain when I decided to start vibing this. I recall also the ones that took place in Canada and Australia over the past years. Roughly **70% of the area burned each year is in Africa** ([Giglio et al. 2013, GFED4](https://agupubs.onlinelibrary.wiley.com/doi/10.1002/jgrg.20042)), most of it savanna set alight on purpose by farmers and herders the way it has been for thousands of years. (Fable taught me this)

Deliberate doesn't mean brief. A savanna front can hold the same spot for days, and about one in five of the belt's fires still counts as persistent. In the boreal north it's four in five: up there, persistent almost always means a true wildfire.

The blue-white dots offshore never go out. They're gas flares, natural gas burned off as waste at oil platforms, day and night, all year. The World Bank counted **167 billion cubic meters flared in 2025** ([Global Gas Flaring Tracker](https://www.worldbank.org/en/programs/gasflaringreduction/publication/2026-global-gas-flaring-tracker-report)), about twice what Germany uses in a year, burned for nothing. Collecting it would also stop the methane that slips through the flame unburned.

Total fire power is a measurement, not a model. It usually sits between 600 and 900 GW, comfortably more than the [combined electrical output of every nuclear plant on Earth](https://www-pub.iaea.org/MTCD/publications/PDF/RDS-2-45_web.pdf) (about 376 GW), and that's only the heat satellites see radiated, not the full energy of the burning.

I acknowledge the use of data from NASA's Fire Information for Resource Management System (FIRMS), part of NASA's Earth Science Data and Information System., which allows us to understand complex relationships and insights within the data through visual storytelling.

Deep Dive into the Topic

This data visualization represents a sophisticated analysis of complex information patterns that provide valuable insights into underlying trends and relationships. Data visualization serves as a bridge between raw numerical data and human understanding, transforming abstract statistics into comprehensible visual narratives.

The power of data visualization lies in its ability to reveal patterns, outliers, and correlations that might not be apparent in traditional tabular formats. Through careful selection of chart types, color schemes, and interactive elements, effective visualizations can communicate complex information quickly and accurately to diverse audiences.

Modern data visualization combines statistical analysis with design principles to create compelling visual stories. This interdisciplinary approach requires understanding both the underlying data and the cognitive processes involved in visual perception. The result is more effective communication of quantitative insights that can inform decision-making and drive positive change.

Data Analysis and Insights

The patterns revealed in this visualization demonstrate the importance of systematic data analysis in understanding complex phenomena. By examining different data segments, time periods, and categorical breakdowns, we can identify trends that inform strategic planning and decision-making processes.

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Significance and Applications

This data visualization has important implications for understanding trends and patterns that affect decision-making across multiple sectors. The insights derived from this analysis can inform policy development, business strategy, resource allocation, and operational improvements.

For analysts, researchers, and decision-makers, this type of data visualization provides essential insights for strategic planning and performance optimization. Whether addressing operational challenges, market analysis, or policy development, understanding data patterns helps create more effective strategies and solutions.

The broader significance lies in how this information contributes to our understanding of complex systems and relationships. This knowledge helps predict future trends, identify potential challenges, and develop more informed approaches to problem-solving and opportunity identification.