Full catalog/MCD64A1
MCD64A1·v061·dataset

How much land area burned each month (Terra+Aqua, 500 m)

MODIS/Terra+Aqua Direct Broadcast Burned Area Monthly L3 Global 500m SIN Grid V061
biosphere NASA LPCLOUD Level 3 active HDF-EOS2
In plain English

What it measures. A monthly global map showing which 500 m patches of land burned and on what day, plus how confident the detection is.

How it's made. Created by combining MODIS surface-reflectance imagery with MODIS active-fire detections from the Terra and Aqua satellites, using changes in a burn-sensitive index to pinpoint the date of each burn.

How & where you'd use it. Used to measure how much land area burns each month and year, study fire patterns and their role in ecosystems, and estimate smoke and emissions from fires.

What's measured

BIOSPHERE › ECOLOGICAL DYNAMICS › FIRE ECOLOGYHUMAN DIMENSIONS › ENVIRONMENTAL IMPACTS › BIOMASS BURNINGHUMAN DIMENSIONS › NATURAL HAZARDS › WILDFIRESBIOSPHERE › ECOLOGICAL DYNAMICS › FIRE ECOLOGY › FIRE OCCURRENCEHUMAN DIMENSIONS › NATURAL HAZARDS › WILDFIRES › BURNED AREA

Coverage & cadence

  • Time span2000-11-01 → ongoing
  • Measured byTerra (MODIS) · Aqua (MODIS)
  • Processing levelLevel 3
  • Spatial extent-180, -90, 180, 90
  • FormatsHDF-EOS2
  • StatusACTIVE

What you can do with it

  • Map vegetation, forests and biomass
  • Monitor ecosystem productivity and carbon
  • Support habitat and biodiversity studies
Official description

The Terra and Aqua combined MCD64A1 Version 6.1 Burned Area data product is a monthly, global gridded 500 meter (m) product containing per-pixel burned-area and quality information. The MCD64A1 burned-area mapping approach employs 500 m Moderate Resolution Imaging Spectroradiometer (MODIS) Surface Reflectance imagery coupled with 1 kilometer (km) MODIS active fire observations. The algorithm uses a burn sensitive Vegetation Index (VI) to create dynamic thresholds that are applied to the composite data. The VI is derived from MODIS shortwave infrared atmospherically corrected surface reflectance bands 5 and 7 with a measure of temporal texture. The algorithm identifies the date of burn for the 500 m grid cells within each individual MODIS tile. The date is encoded in a single data layer as the ordinal day of the calendar year on which the burn occurred with values assigned to unburned land pixels and additional special values reserved for missing data and water grid cells. The data layers provided in the MCD64A1 product include Burn Date, Burn Data Uncertainty, Quality Assurance, along with First Day and Last Day of reliable change detection of the year. Known Issues * For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=MODIS&sat=TerraAqua&as=61).

Get the data

mcd64a1_access.py
import earthaccess
earthaccess.login(strategy="netrc")          # free Earthdata Login

results = earthaccess.search_data(
    short_name="MCD64A1",
    version="061",
    bounding_box=(-122.5, 37.2, -121.8, 37.9),  # your area (W,S,E,N)
    temporal=("2024-01-01", "2024-12-31"),       # your dates
)
files = earthaccess.open(results)   # stream straight from LPCLOUD
Browsing CMR needs no login. Downloading or streaming bytes needs a free Earthdata Login + the earthaccess package.