Data Set Characteristics
Area = ~ 10° x 10° lat/long
Image Dimensions = 2 (1200X1200 row/column)
Average File Size = 3 MB
Resolution = 1 kilometer
Projection = Sinusoidal
Data Type Fire Mask = 8-bit unsigned integer
Data Format = HDF-EOS
Science Data Sets (SDSs) = 2
Pixel Value
Classes
Color
0
missing input data
Black
1
not processed (obsolete)
Black
2
not processed (obsolete)
Black
3
water
Dk Blue
4
cloud
Lt Blue
5
non-fire
Green
6
unknown
Purple
7
fire (low-confidence)
Yellow
8
fire (nominal-confidence)
Orange
9
fire (high-confidence)
Red
The image shown is an example of the Level 3 8-Day Thermal Anomalies/Fire product, MYD14A2. Pixels in which fire is detected are colored red, according to the classification scheme in the table above. The data were acquired between February 18-25, 2004 in Southeastern Asia. The fires highlighted are most likely related to agricultural practices in Burma, Thailand, and Laos.
Product Description
The MODerate-resolution Imaging Spectroradiometer (MODIS) Thermal Anomalies/Fire products detect fire locations using 4- and 11-micrometer brightness temperatures. The detection strategy is based on absolute detection, if the fire is strong enough, and on detection relative to the background to account for variability of the surface temperature and reflection by sunlight. Numerous tests are employed to reject typical false alarm sources such as sun glint and unmasked coastline. Because the Terra MODIS instrument acquires data twice daily (10:30 am and 10:30 pm), as does the Aqua MODIS (2:30 pm and 2:30 am), four daily MODIS observations area available to contribute to global fire monitoring.
The MODIS/Aqua Thermal Anomalies/Fire 8-Day L3 Global 1km SIN Grid product, MYD14A2, is a gridded 1km composite of the most confident fire pixel detected in each grid cell over an eight-day interval.
The image shown is an example of the Level 3 8-Day Thermal Anomalies/Fire product, MYD14A2. Pixels in which fire is detected are colored red, according to the classification scheme in the table above. The data were acquired between February 18-25, 2004 in Southeastern Asia. The fires highlighted are most likely related to agricultural practices in Burma, Thailand, and Laos.
NOTE: These products are provisional, meaning that product quality may not be optimal. Incremental product improvements are still occurring, and users are urged to contact MODIS Science Team representatives prior to use of the data in publications. These data are likely to be replaced when the validated product becomes available.
LP DAAC User Services
U.S. Geological Survey (USGS)
Earth Resources Observation and Science Center (EROS)
47914 252nd Street
Sioux Falls, SD 57198-0001