Aqua MODIS daytime land surface temperature data from the MYD11C1 product across the globe, September 10, 2020.
View full-size imageThe Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Land Surface Temperature/Emissivity Daily (MYD11C1) Version 6.1 product provides daily Land Surface Temperature and Emissivity (LST&E) values in a 0.05 degree (5,600 meters at the equator) latitude/longitude Climate Modeling Grid (CMG). The MYD11C1 product is directly derived from the MYD11B1 product. A CMG granule follows a Geographic grid, having 7,200 columns and 3,600 rows, which represent the entire globe. Each MYD11C1 product consists of the following layers for daytime and nighttime observations: LSTs, quality control assessments, observation times, view zenith angles, number of clear-sky observations, and emissivities from bands 20, 22, 23, 29, 31, and 32 (bands 31 and 32 are daytime only) along with the percentage of land in the grid.
Validation at stage 2 has been achieved for all MODIS Land Surface Temperature and Emissivity products. Further details regarding MODIS land product validation for the MYD11 data products are available from the MODIS Land Team Validation site.
| Characteristic | Description |
|---|---|
| Collection | Aqua MODIS |
| DOI | 10.5067/MODIS/MYD11C1.061 |
| File Size | ~50 MB |
| Temporal Resolution | Daily |
| Temporal Extent | 2002-07-04 to Present |
| Spatial Extent | Global |
| Coordinate System | Geographic Latitude and Longitude |
| Datum | N/A |
| File Format | HDF-EOS |
| Geographic Dimensions | Global |
| Characteristic | Description |
|---|---|
| Number of Science Dataset (SDS) Layers | 17 |
| Columns/Rows | 7200 x 3600 |
| Pixel Size | 5600 m |
| SDS Name | Description | Units | Data Type | Fill Value | No Data Value | Valid Range | Scale Factor | Offset |
|---|---|---|---|---|---|---|---|---|
| LST_Day_CMG | Day Land Surface Temperature | Kelvin | 16-bit unsigned integer | 0 | N/A | 7500 to 65535 | 0.02 | N/A |
| QC_Day | Daytime LST Quality Indicators | Bit Field | 8-bit unsigned integer | N/A | N/A | 0 to 255 | N/A | N/A |
| Day_view_time | Local time of day observation | Hours | 8-bit unsigned integer | 255 | N/A | 0 to 120 | 0.2 | N/A |
| Day_view_angl | View zenith angle of day observation | Degree | 8-bit unsigned integer | 255 | N/A | 0 to 130 | N/A | -65 |
| LST_Night_CMG | Night Land Surface Temperature | Kelvin | 16-bit unsigned integer | 0 | N/A | 7500 to 65535 | 0.02 | N/A |
| QC_Night | Nighttime LST Quality indicators | Bit Field | 8-bit unsigned integer | N/A | N/A | 0 to 255 | N/A | N/A |
| Night_view_time | Local time of night observation | Hours | 8-bit unsigned integer | 255 | N/A | 0 to 120 | 0.2 | N/A |
| Night_view_angl | View zenith angle of night observation | Degree | 8-bit unsigned integer | 255 | N/A | 0 to 130 | N/A | -65 |
| Emis_20 | Band 20 emissivity | N/A | 8-bit unsigned integer | 0 | N/A | 1to 255 | 0.002 | 0.49 |
| Emis_22 | Band 22 emissivity | N/A | 8-bit unsigned integer | 0 | N/A | 1 to 255 | 0.002 | 0.49 |
| Emis_23 | Band 23 emissivity | N/A | 8-bit unsigned integer | 0 | N/A | 1 to 255 | 0.002 | 0.49 |
| Emis_29 | Band 29 emissivity | N/A | 8-bit unsigned integer | 0 | N/A | 1 to 255 | 0.002 | 0.49 |
| 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 |
| QC_emis | Daytime emissivity quality indicators | Bit Field | 8-bit unsigned integer | N/A | N/A | 0 to 255 | N/A | N/A |
| QC_Emis_night | Nighttime emissivity quality indicators | Bit Field | 8-bit unsigned integer | N/A | N/A | 0 to 255 | N/A | N/A |
| Percent_land_in_grid | Percentage of land in the grid | Percent | 8-bit unsigned integer | 0 | N/A | 1 to 100 | N/A | N/A |
The Quality Control (QC) layers are 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 layers.
The QA bit flags for the QC layers are provided in Table 20 of the User Guide.
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 known issues please refer to the MODIS/VIIRS Land Quality Assessment website.