MyJournals Home  

RSS FeedsRemote Sensing, Vol. 13, Pages 4179: SNPP VIIRS Day Night Band: Ten Years of On-Orbit Calibration and Performance (Remote Sensing)

 
 

19 october 2021 12:09:35

 
Remote Sensing, Vol. 13, Pages 4179: SNPP VIIRS Day Night Band: Ten Years of On-Orbit Calibration and Performance (Remote Sensing)
 


Aboard the polar-orbiting SNPP satellite, the VIIRS instrument has been in operation since launch in October 2011. It is a visible and infrared radiometer with a unique panchromatic channel capability designated as a day-night band (DNB). This channel covers wavelengths from 0.5 to 0.9 ┬Ám and is designed with a near-constant spatial resolution for Earth observations 24 h a day. The DNB operates at 3 gain stages (low, middle, and high) to cover a large dynamic range. An onboard solar diffuser (SD) is used for calibration in the low gain stage, and to enable the derivation of gain ratios between the different stages. In this paper, we present the SNPP VIIRS DNB calibration performed by the NASA VIIRS characterization support team (VCST). The DNB calibration algorithms are described to generate the calibration coefficient look up tables (LUTs) for the latest NASA Level 1B Collection 2 products. We provide an evaluation of DNB on-orbit calibration performance. This activity supports the NASA Earth science community by delivering consistent VIIRS sensor data products via the Land Science Investigator-led Processing Systems, including the SD degradation applied for DNB calibrations in detector gain and gain ratio trending. The DNB stray light contamination and its correction are highlighted. Performance validations are presented using comparisons to the calibration methods employed by NOAA`s operational Interface Data Processing Segment. Further work on stray light corrections is also discussed.


 
57 viewsCategory: Geology, Physics
 
Remote Sensing, Vol. 13, Pages 4178: Creating and Testing Explainer Videos for Earth Observation (Remote Sensing)
Remote Sensing, Vol. 13, Pages 4180: Multi-Scale Feature Mapping Network for Hyperspectral Image Super-Resolution (Remote Sensing)
 
 
blog comments powered by Disqus


MyJournals.org
The latest issues of all your favorite science journals on one page

Username:
Password:

Register | Retrieve

Search:

Physics


Copyright © 2008 - 2021 Indigonet Services B.V.. Contact: Tim Hulsen. Read here our privacy notice.
Other websites of Indigonet Services B.V.: Nieuws Vacatures News Tweets Nachrichten