The Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Thermal Anomalies and Fire 8-Day (MYD14A2) Version 6 data are generated at 1 kilometer (km) spatial resolultion as a Level 3 product. The MYD14A2 gridded composite contains maximum value of individual fire pixel classes detected during the eight days of acquisition.
The Science Dataset (SDS) layers include the fire mask and pixel quality indicators.
|File Size||~0.4 MB|
|Temporal Extent||2002-07-04 to Present|
|Geographic Dimensions||1200 km x 1200 km|
|Number of Science Dataset (SDS) Layers||2|
|Columns/Rows||1200 x 1200|
|Pixel Size||1000 m|
|SDS Name||Description||Units||Data Type||Fill Value||No Data Value||Valid Range||Scale Factor|
|FireMask||Confidence of fire||Class Flag||8-bit unsigned integer||0||N/A||1 to 9||N/A|
|QA||Pixel Quality Indicators||Bit Field||8-bit unsigned integer||N/A||N/A||0 to 6||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 Assurance (QA) 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 QA layer.
In addition to data access and transformation processes, AppEEARS also has the capability to unpack and interpret the quality layer.
The QA bit flags for the QC layer are provided in Table 6 on page 24 of the User Guide.
For complete information about the MYD14A2 known issues please refer to the MODIS Land Quality Assessment website.