MCD64A1.061 MODIS Burned Area Monthly Global 500m

Dataset Availability

2000-11-01T00:00:00Z–2024-09-01T00:00:00Z

Dataset Provider

NASA LP DAAC at the USGS EROS Center

Earth Engine Snippet

ee.ImageCollection("MODIS/061/MCD64A1")

Tags

burn change-detection fire geophysical global mcd64a1 modis monthly nasa usgs

Description

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.

Documentation:

• User's Guide

• Algorithm Theoretical Basis Document (ATBD)

• General Documentation

Bands

Resolution
500 meters

Bands

Name	Min	Max	Description
BurnDate	0	366	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.

Citations

Citations:

• Please visit LP DAAC 'Citing Our Data' page for information on citing LP DAAC datasets.

DOIs

• https://doi.org/10.5067/MODIS/MCD64A1.061

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Code Editor (JavaScript)

var dataset = ee.ImageCollection('MODIS/061/MCD64A1')
                  .filter(ee.Filter.date('2017-01-01', '2018-05-01'));
var burnedArea = dataset.select('BurnDate');
var burnedAreaVis = {
  min: 30.0,
  max: 341.0,
  palette: ['4e0400', '951003', 'c61503', 'ff1901'],
};
Map.setCenter(6.746, 46.529, 2);
Map.addLayer(burnedArea, burnedAreaVis, 'Burned Area');

Open in Code Editor

MCD64A1.061 MODIS Burned Area Monthly Global 500m

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 …

MODIS/061/MCD64A1, burn,change-detection,fire,geophysical,global,mcd64a1,modis,monthly,nasa,usgs

2000-11-01T00:00:00Z/2024-09-01T00:00:00Z

Google Earth Engine

https://developers.google.com/earth-engine/datasets

• https://doi.org/10.5067/MODIS/MCD64A1.061