The Suomi National Polar-Orbiting Partnership (S-NPP) NASA Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo (VNP43IA3) Version 1 product provides albedo values at 500 meter (m) resolution for the bihemispherical reflectance white-sky albedo (WSA) and directional hemispherical reflectance black-sky albedo (BSA) at local solar noon. The VNP43IA3 product is produced daily using 16 days of VIIRS data and is weighted temporally to the ninth day, which is reflected in the file name. The VNP43 data products are designed to promote the continuity of NASA’s Moderate Resolution Imaging Spectroradiometer (MODIS) BRDF/Albedo data product suite.
The VNP43 algorithm uses the RossThick/Li-Sparse-Reciprocal (RTLSR) semi-empirical kernel-driven BRDF model, with the three kernel weights from VNP43IA1 to reconstruct surface anisotropic effects, correcting the directional reflectance to a common view geometry (VNP43IA4), while also computing integrated black-sky albedo (BSA) at local solar noon and white-sky albedo (WSA) (VNP43IA3). Researchers can use the BRDF model parameters with a simple polynomial, to obtain black-sky albedo at any solar illumination angle. Likewise, both the BSA and WSA Science Dataset (SDS) layers can be used with a simple polynomial, to manually estimate instantaneous actual albedo (blue-sky albedo). Additional details regarding the methodology are available in the Algorithm Theoretical Basis Document (ATBD).
The VNP43IA3 product provides a total of 9 SDS layers including: BSA, WSA, and mandatory quality layers for VIIRS imagery bands: I1, I2, and I3. A low-resolution browse image is also available showing retrievals of WSA for band I1 in JPEG format.
|File Size||~24 MB|
|Temporal Extent||2012-01-19 to Present|
|Geographic Dimensions||1200 km x 1200 km|
|Number of Science Dataset (SDS) Layers||9|
|Columns/Rows||2400 x 2400|
|Pixel Size||500 m|
|SDS Name||Description||Units||Data Type||Fill Value||No Data Value||Valid Range||Scale Factor|
|Albedo_BSA_I1||BSA (at local solar noon) for band I1||N/A||16-bit signed integer||32767||N/A||0 to 1000||0.001|
|Albedo_BSA_I2||BSA (at local solar noon) for band I2||N/A||16-bit signed integer||32767||N/A||0 to 1000||0.001|
|Albedo_BSA_I3||BSA (at local solar noon) for band I3||N/A||16-bit signed integer||32767||N/A||0 to 1000||0.001|
|Albedo_WSA_I1||WSA for band I1||N/A||16-bit signed integer||32767||N/A||0 to 1000||0.001|
|Albedo_WSA_I2||WSA for band I2||N/A||16-bit signed integer||32767||N/A||0 to 1000||0.001|
|Albedo_WSA_I3||WSA for band I3||N/A||16-bit signed integer||32767||N/A||0 to 1000||0.001|
|BRDF_Albedo_Band_Mandatory_Quality_I1||BRDF/Albedo mandatory quality band for I1||N/A||8-bit unsigned integer||255||N/A||0 to 1||N/A|
|BRDF_Albedo_Band_Mandatory_Quality_I2||BRDF/Albedo mandatory quality band for I2||N/A||8-bit unsigned integer||255||N/A||0 to 1||N/A|
|BRDF_Albedo_Band_Mandatory_Quality_I3||BRDF/Albedo mandatory quality band for I3||N/A||8-bit unsigned integer||255||N/A||0 to 1||N/A|
The abnormally high activation of the high aerosol flag in the Collection 1 (C1) VNP09 product, has impacted downstream products. The VNP43 BRDF/Albedo/NBAR product is affected by reducing the number of otherwise acceptable observations used as input to characterize surface anisotropy. This effect (most obvious over arid bright surfaces), results in a reduced number of high quality full BRDF model inversions. Therefore, users should be aware that bright arid surfaces (normally associated with high quality BRDF/Albedo/NBAR retrievals) are likely to be somewhat represented by lower quality results in C1. VNP09 has been corrected for Collection 2 (C2). Therefore, users should avoid substantive use of C1 VNP43 over arid regions (and wait for C2 products). In any event, users are always strongly encouraged to download and use the extensive QA data provided in VNP43[I-M]A2, in addition to the briefer mandatory QA provided as part of the VNP43[I-M]A1, 3 and 4 products.
Additional known issues for VNP43 data products can be found on the VIIRS Land Quality Assessment website.