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

被引:46
作者
Wang, Wenhui [1 ]
Cao, Changyong [2 ]
机构
[1] Earth Resource Technol Inc, NCWCP, E-RA21,5830 Univ Res Ct,Suite 2664, College Pk, MD 20740 USA
[2] NOAA, NESDIS, STAR Ctr Satellite Applicat & Res, NCWCP, E-RA2,5830 Univ Res Ct,Suite 2730, College Pk, MD 20740 USA
来源
REMOTE SENSING | 2016年 / 8卷 / 01期
关键词
Suomi NPP; VIIRS; calibration stability monitoring; deep convective clouds; reflective solar bands; visible near infrared bands; shortwave infrared bands; day-night-band; SUOMI-NPP VIIRS; BAND; SATELLITE; PERFORMANCE; RETRIEVALS; ATMOSPHERE; DESERT; TERRA; MODIS; AQUA;
D O I
10.3390/rs8010032
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
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页数:19
相关论文
共 28 条
[1]  
Aumann H.H., 2007, SPIE, P6684
[2]   Initial Stability Assessment of S-NPP VIIRS Reflective Solar Band Calibration Using Invariant Desert and Deep Convective Cloud Targets [J].
Bhatt, Rajendra ;
Doelling, David R. ;
Wu, Aisheng ;
Xiong, Xiaoxiong ;
Scarino, Benjamin R. ;
Haney, Conor O. ;
Gopalan, Arun .
REMOTE SENSING, 2014, 6 (04) :2809-2826
[3]  
Blonski S., 2014, P SOC PHOTO-OPT INS, P9111
[4]  
Cao C., 2013, J GEOPHYS RES ATMOS
[5]   Quantitative Analysis of VIIRS DNB Nightlight Point Source for Light Power Estimation and Stability Monitoring [J].
Cao, Changyong ;
Bai, Yan .
REMOTE SENSING, 2014, 6 (12) :11915-11935
[6]   Early On-Orbit Performance of the Visible Infrared Imaging Radiometer Suite Onboard the Suomi National Polar-Orbiting Partnership (S-NPP) Satellite [J].
Cao, Changyong ;
De Luccia, Frank J. ;
Xiong, Xiaoxiong ;
Wolfe, Robert ;
Weng, Fuzhong .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2014, 52 (02) :1142-1156
[7]  
Cardema J. C., 2012, P SOC PHOTO-OPT INS, P8510
[8]   A Test of the New VIIRS Lights Data Set: Population and Economic Output in Africa [J].
Chen, Xi ;
Nordhaus, William .
REMOTE SENSING, 2015, 7 (04) :4937-4947
[9]  
Doelling D.R., 2004, P INT S OPT SCI TECH
[10]   The Characterization of Deep Convective Clouds as an Invariant Calibration Target and as a Visible Calibration Technique [J].
Doelling, David R. ;
Morstad, Daniel ;
Scarino, Benjamin R. ;
Bhatt, Rajendra ;
Gopalan, Arun .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2013, 51 (03) :1147-1159