LST from the VNP21 product over Chad, Africa during March 30, 2018 .View full-size image
The NASA Suomi National Polar-Orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Temperature and Emissivity (LST&E) Version 1 swath product (VNP21) is produced daily in 6-minute temporal increments of satellite acquisition. The VNP21 product uses a physics-based algorithm to dynamically retrieve both the LST and emissivity simultaneously for VIIRS thermal infrared bands M14 (8.55 µm), M15 (10.76 µm), and M16 (12 µm) at a spatial resolution of 750 meters.
The VNP21 product is developed synergistically with the Moderate Resolution Imaging Spectroradiometer (MODIS) LST&E Version 6 product (MOD21) using the same input atmospheric products and algorithmic approach based on the ASTER Temperature Emissivity Separation (TES) technique. The TES algorithm is combined with an improved Water Vapor Scaling (WVS) atmospheric correction scheme to stabilize the retrieval during very warm and humid conditions. The overall objective for NASA VIIRS products is to ensure the algorithms and products are compatible with the MODIS Terra and Aqua algorithms to promote the continuity of the Earth Observation System (EOS) mission. VIIRS LST&E products are available two months after acquisition due to latency of data inputs. Additional details regarding the method used to create this Level 2 (L2) product are available in the Algorithm Theoretical Basis Document (ATBD).
Provided in the VNP21 product are layers for LST, quality control, emissivity for bands M14, M15, and M16, LST&E errors, view angle, ASTER Global Emissivity Dataset (GED), Precipitable Water Vapor (PWV), ocean-land mask, latitude, and longitude. A low-resolution browse image for LST is also available for each VNP21 granule.
Validation at stage 1 has been achieved for the VIIRS land surface temperature product suite. Visit VIIRS Land Product Quality Assessment Product Maturity for information on product maturity status.
|Collection||Suomi NPP VIIRS|
|File Size||~80 MB|
|Temporal Resolution||< Daily|
|Temporal Extent||2012-01-19 to Present|
|Coordinate System||None (Swath)|
|Geographic Dimensions||3060 km x 3060 km|
|Number of Science Dataset (SDS) Layers||15|
|Columns/Rows||3200 x 3232|
|Pixel Size||750 m|
|SDS Name||Description||Units||Data Type||Fill Value||No Data Value||Valid Range||Scale Factor||Additional Offset|
|LST||Land Surface Temperature||Kelvin||16-bit unsigned integer||0||N/A||7500 to 65535||0.02||N/A|
|QC||Quality control for LST and emissivity||N/A||16-bit unsigned integer||N/A||N/A||0 to 65535||N/A||N/A|
|Emis_14||M14 emissivity||N/A||8-bit unsigned integer||0||N/A||1 to 255||0.002||0.49|
|Emis_15||M15 emissivity||N/A||8-bit unsigned integer||0||N/A||1 to 255||0.002||0.49|
|Emis_16||M16 emissivity||N/A||8-bit unsigned integer||0||N/A||1 to 255||0.002||0.49|
|LST_err||Land Surface Temperature error||Kelvin||8-bit unsigned integer||0||N/A||1 to 255||0.04||N/A|
|Emis_14_err||M14 emissivity error||N/A||16-bit unsigned integer||0||N/A||1 to 65535||0.0001||N/A|
|Emis_15_err||M15 emissivity error||N/A||16-bit unsigned integer||0||N/A||1 to 65535||0.0001||N/A|
|Emis_16_err||M16 emissivity error||N/A||16-bit unsigned integer||0||N/A||1 to 65535||0.0001||N/A|
|View_angle||VIIRS view angle for current pixel||Degree||8-bit unsigned integer||255||N/A||0 to 180||0.5||N/A|
|Emis_ASTER||ASTER GED Emissivity (minimum of 5 band values)||N/A||8-bit unsigned integer||0||N/A||1 to 255||0.002||0.49|
|PWV||Precipitable Water Vapor||cm||16-bit unsigned integer||N/A||N/A||0 to 65535||0.001||N/A|
|oceanpix||Ocean-land mask||N/A||8-bit unsigned integer||N/A||N/A||0 to 2||N/A||N/A|
|latitude||Pixel Latitude||Degree||32-bit floating point||-999||N/A||-90 to 90||N/A||N/A|
|longitude||Pixel Longitude||Degree||32-bit floating point||-999||N/A||-180 to 180||N/A||N/A|
The bit field mappings for the QC layer is provided in Tables 5 of the User Guide.
The 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 quality layer.
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 additional information on product quality, refer to the VIIRS Land Product Quality website.
Users of VIIRS and MODIS LST products may notice an increase in occurrences of extreme high temperature outliers in the unfiltered VNP21 and MxD21 products compared to the heritage MxD11 LST products. This can occur especially over desert regions like the Sahara where undetected cloud and dust can negatively impact MxD11, MxD21, and VNP21 retrieval algorithms.
In the MxD11 LST products, these contaminated pixels are flagged in the algorithm and set to fill values in the output products based on differences in the band 32 and band 31 radiances used in the generalized split window algorithm. In the VNP21 and MxD21 LST products, values for the contaminated pixels are retained in the output products (and may result in overestimated temperatures), and users need to apply Quality Control (QC) filtering and other error analyses for filtering out bad values. High temperature outlier thresholds are not employed in VNP21 and MxD21 since it would potentially remove naturally occurring hot surface targets such as fires and lava flows.
High atmospheric aerosol optical depth (AOD) caused by vast dust outbreaks in the Sahara and other deserts highlighted in the example documentation are the primary reason for high outlier surface temperature values (and corresponding low emissivity values) in the VNP21 and MxD21 LST products. Future versions of the VNP21 and MxD21 products will include a dust flag from the MODIS aerosol product and/or brightness temperature look up tables to filter out contaminated dust pixels. It should be noted that in the MxD11B day/night algorithm products, more advanced cloud filtering is employed in the multi-day products based on a temporal analysis of historical LST over cloudy areas. This may result in more stringent filtering of dust contaminated pixels in these products.
To mitigate the impact of dust in the VNP21 and MxD21 products, the science team recommends using a combination of the existing QC bits, emissivity values, and estimated product errors, to confidently remove bad pixels from analysis. For more details, refer to this dust and cloud contamination example documentation.
For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website.