Where is the wildfire burning right now?
Analysis-ready products for actual events that this question maps to — open each in the catalog, or browse them on the NASA Disasters Portal.
Draw a rectangle to pick your area of interest, then see what NASA data covers it (live, here in your browser) or download a ready-to-run notebook with your AOI pre-filled. The notebook runs in any Python environment — it needs a free Earthdata Login to fetch the data.
-122, 39.6 → -121.2, 40.1 (Northern California)During an active fire the question is immediate: *where is it burning, right now?* Satellites detect the heat itself — a pixel far hotter than its surroundings is a fire — and deliver it within hours through **FIRMS**.
During an active fire the question is immediate: where is it burning, right now? Satellites detect the heat itself — a pixel far hotter than its surroundings is a fire — and deliver it within hours through FIRMS.
What you can answer
- Active fire locations, near-real-time. VIIRS and MODIS flag thermal anomalies — pixels whose mid-infrared brightness spikes above the background. FIRMS publishes them within ~3 hours, several times a day.
- Fire intensity — Fire Radiative Power (FRP) estimates how much energy a detection is releasing.
- Spread over time — stacking successive overpasses shows the fire’s advance.
What you can NOT answer (be careful)
- Small or cool fires — a fire smaller than the pixel, or under cloud/thick smoke, can be missed.
- Exact perimeter — detections are points on a coarse grid, not a precise boundary; for the burned footprint use burn severity (dNBR) afterward.
- False positives — gas flares, volcanoes and hot industrial sites also trip thermal detectors; check context.
How you’d approach it
Pull FIRMS detections for your AOI and time window, filter by confidence, and plot them with FRP for intensity. This is the fastest first-look in a fire response — minutes, no heavy processing. Supports the Respond phase of the NASA Disasters program.
Make it yours → Set your AOI and time window, and adjust the confidence and FRP filters to focus on stronger detections.