Vicarious calibration of S-NPP/VIIRS day–night band using deep convective clouds

Ma, Shuo; Yan, Wei; Huang, Yiwen; Ai, Weihua; Zhao, Xianbin

doi:10.1016/j.rse.2014.11.006

Cited by 24 publications

(12 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…8. The results are in agreement with those of previous studies (Liao et al 2013;Ma et al 2015). It is also noted that one point is beyond the 15% uncertainty range in Fig.…”

Section: B Dnb Radiance Estimation Over Bridgessupporting

confidence: 93%

“…Similar to other reflectance solar bands calibrated at daytime using sunlight, the vicarious calibration methods based on some targets with nearly invariant surface properties under lunar illumination can be used to evaluate the radiometric accuracy. Ma et al (2015) proposed the use of deep convective clouds (DCCs) as calibration targets under lunar illumination to evaluate the calibration accuracy of DNB HGS, and the lunar irradiance model combined with the SCIATRAN was used to simulate the top-of-the-atmosphere reflectance values of the DCCs. The results show that the observed radiance values are higher than the predicted radiance values simulated by MODTRAN,version 5 (MODTRAN5), and the radiometric calibration uncertainty is about 15%.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Calibration Method of Low-Light Sensor Based on Bridge Lights

Yan

Huang

et al. 2016

Journal of Atmospheric and Oceanic Technology

Self Cite

View full text Add to dashboard Cite

Many quantitative uses of the nighttime imagery provided by low-light sensors, such as the day-night band (DNB) on board the Suomi-National Polar-Orbiting Partnership (SNPP), have emerged recently. Owing to the low nighttime radiance, low-light calibration at night must be investigated in detail. Traditional vicarious calibration methods are based on some targets with nearly invariant surface properties under lunar illumination. However, the relatively stable light emissions may also be used to realize the radiometric calibration under low light. This paper presents a low-light calibration method based on bridge lights, and Visible Infrared Imaging Radiometer Suite (VIIRS) DNB data are used to assess the proposed method. A comparison of DNB high-gain-stage (HGS) radiances over a 2-yr period from August 2012 to July 2014 demonstrates that the predictions are consistent with the observations, and the agreement between the predictions and the observations is on the order of 22.9% with an uncertainty of 9.3% (1s) for the Hangzhou Bay Bridge and 23.9% with an uncertainty of 7.2% (1s) for the Donghai Bridge. Such a calibration method based on stable light emissions has a wide application prospect for the calibration of low-light sensors at night.

show abstract

“…8. The results are in agreement with those of previous studies (Liao et al 2013;Ma et al 2015). It is also noted that one point is beyond the 15% uncertainty range in Fig.…”

Section: B Dnb Radiance Estimation Over Bridgessupporting

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Calibration Method of Low-Light Sensor Based on Bridge Lights

Yan

Huang

et al. 2016

Journal of Atmospheric and Oceanic Technology

Self Cite

View full text Add to dashboard Cite

show abstract

“…Liao et al [5] evaluated DNB HGS radiometric calibration accuracy using vicarious calibration under lunar illumination. Ma et al [12] investigated the DNB HGS calibration accuracy by comparing the observed VIIRS DCC radiance with nighttime DCC radiances simulated using a radiative transfer model. Cao and Bai [13] investigated the feasibility of using point light sources for monitoring DNB HGS calibration stability.…”

Section: Introductionmentioning

confidence: 99%

Monitoring the NOAA Operational VIIRS RSB and DNB Calibration Stability Using Monthly and Semi-Monthly Deep Convective Clouds Time Series

Wang¹,

Cao

2016

Remote Sensing

View full text Add to dashboard Cite

Abstract:The Visible and Infrared Imaging Radiometer Suite (VIIRS) onboard the Joint Polar Satellite System (JPSS)/Suomi National Polar-Orbiting Partnership (SNPP) satellite provide sensor data records for the retrievals of many environment data records. It is critical to monitor the VIIRS long-term calibration stability to ensure quality EDR retrieval. This study investigates the radiometric calibration stability of the NOAA operational SNPP VIIRS Reflective Solar Bands (RSB) and Day-Night-Band (DNB) using Deep Convective Clouds (DCC). Monthly and semi-monthly DCC time series for 10 moderate resolution bands (M-bands, M1-M5 and M7-M11, March 2013-September 2015), DNB (March 2013-September 2015, low gain stage), and three imagery resolution bands (I-bands, I1-I3, January 2014-September 2015) were developed and analyzed for long-term radiometric calibration stability monitoring. Monthly DCC time series show that M5 and M7 are generally stable, with a stability of 0.4%. DNB has also been stable since May 2013, after its relative response function update, with a stability of 0.5%. The stabilities of M1-M4 are 0.6%-0.8%. Large fluctuations in M1-M4 DCC reflectance were observed since early 2014, correlated with F-factor (calibration coefficients) trend changes during the same period. The stabilities of M8-M11 are from 1.0% to 3.1%, comparable to the natural DCC variability at the shortwave infrared spectrum. DCC mean band ratio time series show that the calibration stabilities of I1-I3 follow closely with M5, M7, and M10. Relative calibration changes were observed in M1/M4 and M5/M7 DCC mean band ratio time series. The DCC time series are generally consistent with results from the VIIRS validation sites and VIIRS/MODIS (the Moderate-resolution Imaging Spectroradiometer) simultaneous nadir overpass time series. Semi-monthly DCC time series for RSB M-bands and DNB were compared with monthly DCC time series. The results indicate that semi-monthly DCC time series are useful for stability monitoring at higher temporal resolution.

show abstract

“…The absolute calibration accuracy was found to be no better than 15%, reducing the sensor's ability to provide quantifiable information and detect changes less than this value. These extended source radiometric techniques were recently improved by using deep convective clouds under lunar illumination to validate radiance [8]. Ma et al [8] predicted an 8-9% accuracy with the deep convective cloud technique.…”

Section: Introductionmentioning

confidence: 99%

“…These extended source radiometric techniques were recently improved by using deep convective clouds under lunar illumination to validate radiance [8]. Ma et al [8] predicted an 8-9% accuracy with the deep convective cloud technique. Vicarious calibration approaches could be further improved with better knowledge of the atmosphere and surface reflectance, but additional work is needed.…”

Section: Introductionmentioning

confidence: 99%

The Terra Vega Active Light Source: A First Step in a New Approach to Perform Nighttime Absolute Radiometric Calibrations and Early Results Calibrating the VIIRS DNB

et al. 2019

View full text Add to dashboard Cite

A fully automated, National Institute of Standards and Technology (NIST)-traceable artificial light source called Terra Vega has been developed to radiometrically calibrate the Visible Infrared Imaging Radiometer (VIIRS) Day Night Band (DNB) working in high gain stage (HGS) mode. The Terra Vega active point source is a calibrated integrating sphere that is only a fraction in size of a VIIRS DNB pixel. As such, it can be considered analogous to a ground-based photometric reference star. Vicarious calibrations that employ active point sources are different than those that make use of traditional extended sources and can be applyed to quantify the brightness of artificial light sources. The active source is successfully fielded, and early results indicate that it can be used to augment and validate the radiometric calibration of the VIIRS DNB HGS sensor on both the Suomi National Polar-orbiting Partnership (NPP) and NOAA-20 satellites. The VIIRS DNB HGS sensor can benefit from this technology as on-board calibration is challenging and hinges on transferring low gain stage (LGS) calibration using a solar diffuser to the medium gain stage (MGS) and HGS via regions of overlap. Current vicarious calibration methods that use a lunar-illuminated extended source estimate the HGS radiometric accuracy to within 8-15%. By comparison, early results and analysis showed that Terra Vega is stable to about 1%. Under clear dark night conditions, predicted top-of-atmosphere radiance from Terra Vega ranged between 1–11% of VIIRS measured values. Terra Vega’s excellent stability opens up new opportunities to validate and develop nighttime imaging applications based on point sources.

show abstract

Vicarious calibration of S-NPP/VIIRS day–night band using deep convective clouds

Cited by 24 publications

References 46 publications

Calibration Method of Low-Light Sensor Based on Bridge Lights

Calibration Method of Low-Light Sensor Based on Bridge Lights

Monitoring the NOAA Operational VIIRS RSB and DNB Calibration Stability Using Monthly and Semi-Monthly Deep Convective Clouds Time Series

The Terra Vega Active Light Source: A First Step in a New Approach to Perform Nighttime Absolute Radiometric Calibrations and Early Results Calibrating the VIIRS DNB

Contact Info

Product

Resources

About