Improved Band-to-Band Registration Characterization for VIIRS Reflective Solar Bands Based on Lunar Observations

Wang, Zhipeng; Xiong, Xiaoxiong; Li, Yonghong

doi:10.3390/rs8010027

Cited by 20 publications

(6 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This approach was initially developed for MODIS and validated using results derived from its SRCA spatial characterization. It has been further extended and improved for the routine spatial characterization of VIIRS instruments [39,40].…”

Section: On-orbit Calibrationmentioning

confidence: 99%

MODIS and VIIRS Calibration History and Future Outlook

Xiong

Butler

2020

Remote Sensing

Self Cite

View full text Add to dashboard Cite

The MODIS is a key instrument for NASA’s EOS program, currently operated onboard the Terra and Aqua spacecraft launched in 1999 and 2002, respectively. The VIIRS is a MODIS follow-on instrument for the JPSS program. Adding to the ones operated onboard the S-NPP and NOAA-20 satellites launched in 2011 and 2017, respectively, three nearly identical VIIRS instruments will also be launched. This will enable the data records from MODIS and VIIRS to be extended beyond 2040. In addition to various applications and scientific studies of the Earth’s system, long-term data records from MODIS and VIIRS observations will greatly benefit the space-based climate observing system. This is attributed to the high-quality measurements and extensive calibration efforts, from pre-launch to post-launch. This paper provides an overview of MODIS and VIIRS calibration history and approaches applied to establish and maintain sensor calibration traceability and accuracy. It illustrates calibration and performance issues through different phases of the mission using examples derived from ground testing equipment, on-board calibrators, and other calibration targets. Moreover, discussed in this paper are outstanding challenges and future efforts to maintain and improve sensor calibration stability and long-term data quality, and to better support the space-based climate observing system.

show abstract

Section: On-orbit Calibrationmentioning

confidence: 99%

MODIS and VIIRS Calibration History and Future Outlook

Xiong

Butler

2020

Remote Sensing

Self Cite

View full text Add to dashboard Cite

show abstract

“…Furthermore, a ground scene approach requires constructing specific dark areas over a bright target; details can be seen in [203]. Another BBR accuracy assessment approach utilizes lunar observation, however, the lunar approach is primarily used for assessing the stability of BBR [204]. The stability of BBR has been assessed from lunar observations of MODIS and Visible Infrared Imaging Radiometer Suite (VIIRS), and the uncertainty of MODIS lunar-based and on-board approaches are found to be in the same order (though actual uncertainty is unknown) [205,206].…”

Section: Band-to-band Registration Accuracymentioning

confidence: 99%

Vicarious Methodologies to Assess and Improve the Quality of the Optical Remote Sensing Images: A Critical Review

2020

View full text Add to dashboard Cite

Over the past decade, number of optical Earth-observing satellites performing remote sensing has increased substantially, dramatically increasing the capability to monitor the Earth. The quantity of remote sensing satellite increase is primarily driven by improved technology, miniaturization of components, reduced manufacturing, and launch cost. These satellites often lack on-board calibrators that a large satellite utilizes to ensure high quality (radiometric, geometric, spatial quality, etc.) scientific measurement. To address this issue, this work presents “best” vicarious image quality assessment and improvement techniques for those kinds of optical satellites which lack an on-board calibration system. In this article, image quality categories have been explored, and essential quality parameters (absolute and relative calibration, aliasing, etc.) have been identified. For each of the parameters, appropriate characterization methods are identified along with their specifications or requirements. In cases of multiple methods, recommendations have been made based-on the strengths and weaknesses of each method. Furthermore, processing steps have been presented, including examples. Essentially, this paper provides a comprehensive study of the criteria that need to be assessed to evaluate remote sensing satellite data quality, and the best vicarious methodologies to evaluate identified quality parameters such as coherent noise and ground sample distance.

show abstract

“…This, together with the fact that the distance between the Moon and the satellite varies, means that the lunar images of different events are not spatially co-registered. The orientations of the rotation can be quantified by the illumination angle of the Sun in reference to the SV pointing direction 9 . Similar to MODIS, the ground instantaneous FOV (IFOV) of VIIRS detectors on the Moon is rather large (173 km × 173 km for I bands and 346 km × 346 km for M bands).…”

Section: Viirs Lunar Observationmentioning

confidence: 99%

Update of S-NPP VIIRS thermal emissive bands radiometric calibration stability monitoring using the moon

Wang

Xiong

2016

SPIE Proceedings

Self Cite

View full text Add to dashboard Cite

The Suomi-NPP VIIRS thermal emissive bands (TEB) are radiometrically calibrated on-orbit with reference to an onboard blackbody (BB) regularly operated at approximately 292.5 K. The calibration stability at other temperature ranges can be evaluated based on the observations of remote targets with stable thermal properties, such as the Moon. VIIRS has scheduled viewings of the Moon on a nearly monthly basis at a phase angle of nearly -51 degrees. In this study, the brightness temperatures (BT) of the lunar surface retrieved using the detector gain coefficients calibrated with the BB are trended to monitor the calibration stability of VIIRS TEB. Since the Lunar surface temperatures are spatially non-uniform and vary greatly with the photometric geometry, the BT trending must be based on the same regions of the Moon under the same solar illumination condition. Also, the TEB lunar images are always partially saturated because the highest lunar surface temperatures are beyond the dynamic range of all VIIRS TEB detectors. Therefore, a temporally invariant dynamic mask is designed to clip a fraction of the lunar images corresponding to the regions of the Moon that may saturate the detector at any lunar event. The BT of the remaining hottest pixels are then trended. Results show that, since the launch of VIIRS to mid-2016, the radiometric calibration of all TEB detectors has been stable within ±0.4 K at the BT range of as high as 350 K.

show abstract

Improved Band-to-Band Registration Characterization for VIIRS Reflective Solar Bands Based on Lunar Observations

Cited by 20 publications

References 14 publications

MODIS and VIIRS Calibration History and Future Outlook

MODIS and VIIRS Calibration History and Future Outlook

Vicarious Methodologies to Assess and Improve the Quality of the Optical Remote Sensing Images: A Critical Review

Update of S-NPP VIIRS thermal emissive bands radiometric calibration stability monitoring using the moon

Contact Info

Product

Resources

About