Evaluation of SNPP and NOAA-20 VIIRS Datasets Using RadCalNet and Landsat 8/OLI Data

In this study, we used RVUS data from RadCalNet as a benchmark to verify the radiometric accuracy and stability of operational and reprocessed SNPP/VIIRS data and the accuracy of NOAA-20/VIIRS data, as well as to assess the efficiency of the SNPP/VIIRS reprocessing algorithm. In addition, to remove the uncertainty of the RVUS site itself, we used Landsat 8/OLI as another benchmark with which to validate the accuracy and stability of VIIRS data through the RUVS site. The radiometric biases of the operational and reprocessed SNPP VIIRS bands were within +/- 4% and +/- 2%, respectively, as compared with the RUVS site and OLI, except for the M10 and M11 bands. In particular, the biases of the M5 and M7 bands were reduced by similar to 2% in this study. NOAA-20 VIIRS, on the other hand, was consistently lower than SNPP by similar to 2 to similar to 4% for all the bands. For the equivalent bands, the drift differences between operational and reprocessed SNPP/VIIRS and OLI were no larger than 0.24%/year and 0.1%/year, respectively. The reprocessing algorithm of SNPP VIIRS efficiently improved the radiometric accuracy and stability of the SNPP/VIIRS dataset to meet its specifications.

Automated summary

In this study, the radiometric accuracy and stability of SNPP/VIIRS and NOAA-20/VIIRS data were verified using RVUS data as a benchmark. The efficiency of the SNPP/VIIRS reprocessing algorithm was also evaluated. Additionally, Landsat 8/OLI was used to validate the accuracy and stability of VIIRS data. The results showed that the radiometric biases of most SNPP/VIIRS bands were within acceptable limits, and the reprocessing algorithm effectively improved the radiometric accuracy and stability of the SNPP/VIIRS dataset.