Terra MODIS land surface temperature data from the MOD11C3 product across the globe, June 2020.
View full-size imageThe Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Land Surface Temperature/Emissivity Monthly(MOD11C3) Version 6.1 product provides monthly 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). A CMG granule is a geographic grid with 7,200 columns and 3,600 rows representing the entire globe. The LST&E values in the MOD11C3 product are derived by compositing and averaging the values from the corresponding month of MOD11C1 daily files. Each MOD11C3 product consists of the following layers for daytime and nighttime observations: LSTs, quality control assessments, observation times, view zenith angles, and number of clear-sky observations along with percentage of land in the grid and emissivities from bands 20, 22, 23, 29, 31, and 32.
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 MOD11 data products are available from the MODIS Land Team Validation site.
| Characteristic | Description |
|---|---|
| Collection | Terra MODIS |
| DOI | 10.5067/MODIS/MOD11C3.061 |
| File Size | ~77 MB |
| Temporal Resolution | Monthly |
| Temporal Extent | 2000-02-01 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 | Daytime 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 |
| Clear_sky_days | Days in clear sky condition | Bit Field | 32-bit unsigned integer | 0 | N/A | 0 to 4294967296 | N/A | N/A |
| LST_Night_CMG | Nighttime 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 |
| Clear_sky_nights | Nights in clear sky condition | Bit Field | 32-bit unsigned integer | 0 | N/A | 0 to 4294967296 | N/A | N/A |
| 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 |
| 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.