Terra MODIS surface reflectance band 1-1-2 data from the MOD09GQ product over the western United States, December 4, 2020.
View full-size imageThe MOD09GQ Version 6.1 product provides an estimate of the surface spectral reflectance of Terra Moderate Resolution Imaging Spectroradiometer (MODIS) 250 meter (m) bands 1 and 2, corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Along with the 250 m surface reflectance bands are the Quality Assurance (QA) layer and five observation layers. This product is intended to be used in conjunction with the quality and viewing geometry information of the 500 m product (MOD09GA).
Validation at stage 3 has been achieved for all MODIS Surface Reflectance products. Further details regarding MODIS land product validation for the MOD09 data products are available from the MODIS Land Team Validation site.
| Characteristic | Description |
|---|---|
| Collection | Terra MODIS |
| DOI | 10.5067/MODIS/MOD09GQ.061 |
| File Size | 95 MB |
| Temporal Resolution | Daily |
| Temporal Extent | 2000-02-24 to Present |
| Spatial Extent | Global |
| Coordinate System | Sinusoidal |
| Datum | N/A |
| File Format | HDF |
| Geographic Dimensions | 1200 km x 1200 km |
| Characteristic | Description |
|---|---|
| Number of Science Dataset (SDS) Layers | 8 |
| Columns/Rows | 4800 x 4800 |
| Pixel Size | 250 m |
| SDS Name | Description | Units | Data Type | Fill Value | No Data Value | Valid Range | Scale Factor |
|---|---|---|---|---|---|---|---|
| num_observations | Number of observations per pixel | N/A | 8-bit signed integer | -1 | N/A | 0 to 127 | N/A |
| sur_refl_b01_1 | Surface Reflectance Band 1 | N/A | 16-bit signed integer | -28672 | N/A | -100 to 16000 | 0.0001 |
| sur_refl_b02_1 | Surface Reflectance Band 2 | N/A | 16-bit signed integer | -28672 | N/A | -100 to 16000 | 0.0001 |
| QC_250m_1 | Surface Reflectance 250m Quality Assurance | Bit Field | 16-bit unsigned integer | 2995 | N/A | 0 to 4096 | N/A |
| obscov_1 | Observation coverage | Percent | 8-bit signed integer | -1 | N/A | 0 to 100 | 0.01 |
| iobs_res_1 | Observation number | N/A | 8-bit unsigned integer | 255 | N/A | 0 to 254 | N/A |
| orbit_pnt_1 | Orbit pointer | N/A | 8-bit signed integer | -1 | N/A | 0 to 15 | N/A |
| granule_pnt_1 | Granule pointer | N/A | 8-bit unsigned integer | 255 | N/A | 0 to 254 | N/A |
The Number of Science Dataset Layers is a minimum of 8. If the "L2G Storage Format" metadata value is "full" additional data layers are present with the suffix _f. If the "L2GStorageFormat" metadata value is "compact" additional data layers are present with the suffix _c.
The QC_250m_1 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 this layer.
The QA bit flags for the QC_250m_1 layer is provided in Table 8 of the User Guide on page 19.
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.
In addition to data access and transformation processes, AppEEARS also has the capability to unpack and interpret the quality layers.
For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website.