The Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Thermal Anomalies and Fire Daily (MOD14A1) Version 6 data are generated every eight days at 1 kilometer (km) spatial resolultion as a Level 3 product. MOD14A1 contains eight consecutive days of fire data conveniently packaged into a single file.
The Science Dataset (SDS) layers include the fire mask, pixel quality indicators, maximum fire radiative power (MaxFRP), and the position of the fire pixel within the scan. Each layer consists of daily per pixel information for each of the eight days of data acquisition.
|File Size||0.6 MB|
|Temporal Extent||2000-02-18 to Present|
|Geographic Dimensions||1200 km x 1200 km|
|Number of Science Dataset (SDS) Layers||4|
|Columns/Rows||1200 x 1200|
|Pixel Size||1000 m|
|SDS Name||Description||Units||Data Type||Fill Value||No Data Value||Valid Range||Scale Factor||Additional Offset|
|FireMask||Confidence of fire||Class Flag||8-bit unsigned integer||0||N/A||1 to 9||N/A||N/A|
|QA||Pixel quality indicators||Bit Field||8-bit unsigned integer||N/A||N/A||0 to 6||N/A||N/A|
|MaxFRP||Maximum Fire Radiative Power||Megawatts||32-bit unsigned integer||0||N/A||0 to 180000||0.1||N/A|
|Sample||Position of fire pixel within scan||Number||16-bit unsigned integer||N/A||N/A||0 to 1353||N/A||N/A|
|0||Not processed (missing input data)|
|1||Not processed (obsolete; not used since Collection 1)|
|2||Not processed (other reason)|
|3||Non-fire water pixel|
|4||Cloud (land or water)|
|5||Non-fire land pixel|
|6||Unknown (land or water)|
|7||Fire (low confidence, land or water)|
|8||Fire (nominal confidence, land or water)|
|9||Fire (high confidence, land or water)|
The quality layer is stored in an efficient bit-encoded manner. The unpack_sds_bits executable from the LDOPE Tools is available to the user community to help parse and interpret the quality layer.
The Quality Assessment (QA) bit flags for the quality layer are provided in Table 6 on page 24 of the User Guide.
For complete information about the MOD14A1 known issues please refer to the MODIS Land Quality Assessment website.