Aqua MODIS land surface temperature data from the MYD11_L2 over Tibet, July 15, 2018.View full-size image
The MYD11_L2 Version 6 swath product provides per-pixel Land Surface Temperature and Emissivity (LST&E) with a pixel size of 1,000 meters (m). The product is produced daily in 5-minute temporal increments of satellite acquisition using the generalized split-window algorithm. MYD11_L2 is a Level 2 product which provides the input for the Level 3 products. Provided in each MYD11_L2 file are LST, quality control assessment, error estimates, bands 31 and 32 emissivities, zenith angle of the pixel view, observation time, and the geographic coordinates for every five scan lines and samples.
|File Size||~2.39 MB|
|Temporal Resolution||< Daily|
|Temporal Extent||2002-07-04 to 2023-02-26|
|Coordinate System||None (Swath)|
|Geographic Dimensions||2330 km x 2000 km|
|Number of Science Dataset (SDS) Layers||9|
|Columns/Rows||2030 x 1354|
|Pixel Size||1000 m|
|SDS Name||Description||Units||Data Type||Fill Value||No Data Value||Valid Range||Scale Factor||Offset|
|LST||Land Surface Temperature||Kelvin||16-bit unsigned integer||0||N/A||7500 to 65535||0.02||N/A|
|QC||Quality control for daytime LST and emissivity||Bit Field||16-bit unsigned integer||N/A||N/A||0 to 65535||N/A||N/A|
|Error_LST||Land Surface Temperature Error||Kelvin||8-bit unsigned integer||0||N/A||1 to 255||0.04||N/A|
|Emis_31||Band 31 Emissivity||N/A||8-bit unsigned integer||0||N/A||1 to 255||0.002||0.49|
|Emis_32||Band 32 Emissivity||N/A||8-bit unsigned integer||0||N/A||1 to 255||0.002||0.49|
|View_angle||Zenith angle of MODIS viewing at the pixel||Degree||8-bit unsigned integer||255||N/A||0 to 180||0.5||N/A|
|View_time||Local time of pixel observation||Hours||8-bit unsigned integer||255||N/A||0 to 240||0.1||N/A|
|Latitude||Latitude of every 5 scan lines and 5 pixels||Degree||32-bit floating point||-999||N/A||-90 to 90||N/A||N/A|
|Longitude||Longitude of every 5 scan lines and 5 pixels||Degree||32-bit floating point||-999||N/A||-180 to 180||N/A||N/A|
The Quality Control (QC) 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 QC layer.
The QA bit flags for the QC layers are provided in the User Guide in Table 8 on page 15.
Quality assurance information should be considered when determining the usability of data for a particular science application. The ArcGIS MODIS-VIIRS Python Toolbox contains tools capable of decoding quality data layers while producing thematic quality raster files for each quality attribute.
For complete information about the MYD11_L2 known issues please refer to the MODIS Land Quality Assessment website.