Terra MODIS NDVI data from the MOD13Q1 product over part of Brazil July 27 - August 11, 2020.View full-size image
The Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Indices (MOD13Q1) Version 6.1 data are generated every 16 days at 250 meter (m) spatial resolution as a Level 3 product. The MOD13Q1 product provides two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI) which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions. The algorithm chooses the best available pixel value from all the acquisitions from the 16 day period. The criteria used is low clouds, low view angle, and the highest NDVI/EVI value.
Along with the vegetation layers and the two quality layers, the HDF file will have MODIS reflectance bands 1 (red), 2 (near-infrared), 3 (blue), and 7 (mid-infrared), as well as four observation layers.
Validation at stage 3 has been achieved for the MODIS Vegetation Index product suite. Further details regarding MODIS land product validation for the MOD13 data products are available from the MODIS Land Team Validation site.
|File Size||~93 MB|
|Temporal Extent||2000-02-18 to Present|
|Geographic Dimensions||1200 km x 1200 km|
|Number of Science Dataset (SDS) Layers||12|
|Columns/Rows||4800 x 4800|
|Pixel Size||250 m|
|SDS Name||Description||Units||Data Type||Fill Value||No Data Value||Valid Range||Scale Factor|
|250m 16 days NDVI||16 day NDVI||NDVI||16-bit signed integer||-3000||N/A||-2000 to 10000||0.0001|
|250m 16 days EVI||16 day EVI||EVI||16-bit signed integer||-3000||N/A||-2000 to 10000||0.0001|
|250m 16 days VI Quality||VI quality indicators||Bit Field||16-bit unsigned integer||65535||N/A||0 to 65534||N/A|
|250m 16 days red reflectance||Surface Reflectance Band 1||N/A||16-bit signed integer||-1000||N/A||0 to 10000||0.0001|
|250m 16 days NIR reflectance||Surface Reflectance Band 2||N/A||16-bit signed integer||-1000||N/A||0 to 10000||0.0001|
|250m 16 days blue reflectance||Surface Reflectance Band 3||N/A||16-bit signed integer||-1000||N/A||0 to 10000||0.0001|
|250m 16 days MIR reflectance||Surface Reflectance Band 7||N/A||16-bit signed integer||-1000||N/A||0 to 10000||0.0001|
|250m 16 days view zenith angle||View zenith angle of VI Pixel||Degree||16-bit signed integer||-10000||N/A||0 to 18000||0.01|
|250m 16 days sun zenith angle||Sun zenith angle of VI pixel||Degree||16-bit signed integer||-10000||N/A||0 to 18000||0.01|
|250m 16 days relative azimuth angle||Relative azimuth angle of VI pixel||Degree||16-bit signed integer||-4000||N/A||-18000 to 18000||0.01|
|250m 16 days composite day of the year||Day of year VI pixel||Julian day||16-bit signed integer||-1||N/A||1 to 366||N/A|
|250m 16 days pixel reliability||Quality reliability of VI pixel||Rank||8-bit signed integer||-1||N/A||0 to 3||N/A|
The QA bit flags for the "250m 16 days pixel reliability" layer are provided in Table 4 and the "250m 16 days VI Quality" in Table 5 of the User Guide.
In areas where no valid VI is retrieved, VI Quality bits 11-13 are correctly assigned to indicate the land/water type. The other bits are set to 1 which can create a false notion of the parameter description; however, since no valid VI is retrieved these values can be ignored.
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.
The "250m 16 days VI Quality" 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 layers.
For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website.