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EDG Data Set Name Granule Shortname
MODIS/Aqua Thermal Anomalies/Fire 8-Day L3 Global 1km SIN Grid V005 MYD14A2

Version Acquisition Range Science Quality Status
003 August 29, 2002 - October 7, 2002 Provisional from 11/01/2000
004 June 26, 2002 - December 31, 2006 Provisional
005 July 4, 2002 - Validated Stage 1

V005 MYD14A2 Changes (abbreviated Points of Interest below)
V005 MYD14A2 Science Data Sets (specifications for data layers)
V005 MYD14A2 Quality Information

MODIS Image MODIS Image
Data Characteristics
Area: ~10 degrees x 10 degrees
Dimensions: 1200 x 1200 rows/columns
File Size: ~0.4 MB
Resolution: 1 kilometer
Projection: Sinusoidal
Fire Mask Data Type: 8-bit unsigned integer
Data Format: HDF-EOS
Science Data Sets (SDS HDF Layers): 2
The images above represent fires identified between May 1 - 8, 2007, an 8-day period during which the northern plains of the U.S. experienced numerous wildfires attributed to prolonged drought conditions.

Using the MYD14A2 Fire_Mask a color code was applied to highlight fires in yellow, water bodies in blue, and leaving land area in black. Each yellow pixel is 1km2.

The image on the left is the entire tile h11v04 along the Canadian border with North Dakota, Minnesota, and Wisconsin. Zooming in on the upper left quadrant of the tile, prominent fires surround North Dakota's Lake Sakakawea, a reservoir along the Missouri River.


V005 Change Points of Interest:

  • Internal HDF compression reduces products to ~5% of their uncompressed size.
  • SDS "most confident detected fire" renamed as "FireMask".
  • Reduced 32-bit QA to simpler 8-bit layer.
  • Added global HDF attributes to simplify use of tile-level QA.
  • Product Description
    MODIS Thermal Anomalies/Fire products are primarily derived from MODIS 4- and 11-micrometer radiances. The fire detection strategy is based on absolute detection of a fire (when the fire strength is sufficient to detect), and on detection relative to its background (to account for variability of the surface temperature and reflection by sunlight). Numerous tests are employed to reject typical false alarm sources like sun glint or an unmasked coastline.

    MYD14A2 data are 8-day fire-mask composites at 1-kilometer resolution provided as a gridded level-3 product in the Sinusoidal projection. Science Data Sets include the fire-mask and algorithm quality.

    The Aqua MODIS instrument acquires data twice daily (1:30 PM and AM), as does the Terra MODIS (10:30 AM and PM). These four daily MODIS fire observations serve to advance global monitoring of the fire process and its effects on ecosystems, the atmosphere, and climate.

    Version-5 MODIS/Aqua Thermal Anomalies/Fire products are Validated Stage 1, meaning that accuracy has been estimated using a small number of independent measurements obtained from selected locations and time periods and ground-truth/field program efforts. Although there may be later improved versions, these data are ready for use in scientific publications.


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    Retrieve the MYD14A2.5 MODIS product through the LP DAAC Data Pool
    Via Search Tool: http://e4eil01u.ecs.nasa.gov:22000/WebAccess/drill?attrib=esdt&esdt=MYD14A2.5&group=MOLA
    Via FTP Directory: ftp://e4ftl01u.ecs.nasa.gov/MOLA/MYD14A2.005/

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    EOS Data Gateway Search Tips
    Data Center: LPDAAC
    Sensor: MODIS
    Dataset: MODIS/Aqua Thermal Anomalies/Fire 8-Day L3 Global 1km SIN Grid V005
    Geographic Extent: Type Lat/Long Range or Draw on Map
    Temporal Extent: 2002-07-04 to present

    Product Information
    Product Description
    http://modis-land.gsfc.nasa.gov/fire.htm
    User Guide
    http://modis-fire.umd.edu/MOD14.asp
    Algorithm Theoretical Basis Document (ATBD)
    http://modis.gsfc.nasa.gov/data/atbd/atbd_mod14.pdf
    MODIS Standard Data Products Catalog
    (http://modis.gsfc.nasa.gov/data/dataprod/index.php)
    EOS Data Products Handbook Volume 1 (2000)
    (http://eospso.gsfc.nasa.gov/eos_homepage/for_scientists/data_products/vol1.php)

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