Active fire summary over 8 days, 1 km (Terra)
What it measures. This condenses fire detections into an 8-day summary at 1-kilometer resolution, showing the strongest fire signal seen at each location during the period, along with a reliability flag.
How it's made. Created by ESA Copernicus from NASA's MODIS sensor on Terra by compositing the daily fire detections into an 8-day Level-3 product.
How & where you'd use it. Helpful for tracking fire activity across a region over a week, mapping fire seasons, and supporting wildfire research and reporting.
What's measured
Coverage & cadence
- Time span2000-02-18 → ongoing
- Spatial extent-180, -90, 180, 90
What you can do with it
- Map vegetation, forests and biomass
- Monitor ecosystem productivity and carbon
- Support habitat and biodiversity studies
Official description
The MODIS Terra MOD14A2 Version 6.1 product provides an 8-day composite of thermal anomalies and active fire detections at 1 km spatial resolution as a Level-3 dataset. The gridded product represents the maximum value of individual fire pixel classes detected during the 8-day observation period. The dataset includes science data layers such as a fire mask identifying fire detections and pixel quality indicators that describe the reliability of the observations.
Get the data
# ESA Copernicus Data Space — open STAC API (free account)
from pystac_client import Client
cat = Client.open("https://stac.dataspace.copernicus.eu/v1")
search = cat.search(
collections=["modis-terra-mod14a2"], # add _cog or _nc for a format variant
bbox=(-10, 35, 30, 60), # your area (W,S,E,N)
datetime="2024-01-01/2024-12-31",
)
items = list(search.items()) # then read assets with rioxarray / xarrayBrowsing the Copernicus STAC is open; downloading bytes needs a free Copernicus Data Space account.
Official links
- Open data source Copernicus STAC