The Terra and Aqua combined MCD64A1 Version 6.1 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.
Burn day of year. Possible values: 0 (unburned), 1-366
(approximate Julian day of burning).
Uncertainty
0
100
Estimated uncertainty in burn day
QA
Quality assurance indicators
Bitmask for QA
Bit 0: Land/water
0: Water grid cell
1: Land grid cell
Bit 1: Valid data flag. A value of 1 indicates that there was
sufficient valid data in the reflectance time series for the grid
cell to be processed. (NB Water grid cells will always have this bit
clear.)
0: Insufficient valid data
1: Sufficient valid data
Bit 2: Shortened mapping period. This flag indicates that the
period of reliable mapping does not encompass the full one-month
product period, i.e., burns could not be reliably mapped over the
full calendar month.
0: Mapping period not shortened
1: Mapping period shortened
Bit 3: Grid cell was relabeled during the contextual relabeling
phase of the algorithm.
0: Grid cell was not relabeled
1: Grid cell was relabeled
Bit 4: Spare bit
0: N/A
Bits 5-7: Special condition code reserved for unburned grid cells.
This code provides an explanation for any grid cells that were
summarily classified as unburned by the detection algorithm due to
special circumstances.
0: None or not applicable (i.e., burned, unmapped, or water grid cell).
1: Valid observations spaced too sparsely in time.
2: Too few training observations or insufficient spectral
separability between burned and unburned classes.
3: Apparent burn date at limits of time series.
4: Apparent water contamination.
5: Persistent hot spot.
6: Reserved for future use.
7: Reserved for future use.
FirstDay
0
366
First day of the year of reliable change detection
LastDay
0
366
Last day of the year of reliable change detection
Terms of Use
Terms of Use
MODIS data and products acquired through the LP DAAC
have no restrictions on subsequent use, sale, or redistribution.
The Terra and Aqua combined MCD64A1 Version 6.1 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 …
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],[],[[["The MCD64A1 V6.1 dataset provides monthly, global burned area information at 500m resolution derived from MODIS imagery."],["It identifies the approximate day of burning and includes quality and uncertainty assessments."],["Data covers the period from November 2000 to August 2024 and is freely available for use, sale, and redistribution."],["Burned area is detected using a burn-sensitive vegetation index and active fire observations, with special values for unburned land, water, and missing data."],["The dataset is provided by NASA LP DAAC at the USGS EROS Center and is accessible through Google Earth Engine."]]],[]]