a monthly, global gridded 500m product containing per-pixel burned-area
and quality information. The MCD64A1 burned-area mapping approach employs
500m MODIS Surface Reflectance imagery coupled with 1km 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 500m 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.
Version V006
The Terra and Aqua combined MCD64A1 Version 6 Burned Area data product is
a monthly, global gridded 500m product containing per-pixel burned-area
and quality information. The MCD64A1 burned-area mapping approach employs
500m MODIS Surface Reflectance imagery coupled with 1km 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 500m 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.
Name | Description |
---|---|
BurnDate | Burn day of year. Possible values: 0 (unburned), 1-366 (approximate Julian day of burning). |
Uncertainty | Estimated uncertainty in burn day |
QA | Quality assurance indicators |
FirstDay | First day of the year of reliable change detection |
LastDay | Last day of the year of reliable change detection |
Providers | |
---|---|
NASA LP DAAC at the USGS EROS Center (producer, licensor) | |
Google Earth Engine (host) | |
STAC Version | 0.6.0 |
Keywords | burn, fire, geophysical, global, mcd64a1, modis, monthly, usgs |
License | proprietary |
Temporal Extent | 10/31/2000, 4:00:00 PM - now |
DOI | https://doi.org/10.5067/MODIS/MCD64A1.006 |
Citation | Please visit [LP DAAC 'Citing Our Data' page](https://lpdaac.usgs.gov/citing_our_data) for information on citing LP DAAC datasets. |
Type | image_collection |
GSD | metersm |
Platform | Terra |
Instrument | MODIS |
Cadence | month |