Comparison of the Calibration Algorithms and SI Traceability of MODIS, VIIRS, GOES, and GOES-R ABI Sensors

Datla, Raju V.; Shao, Xi; Cao, Changyong; Wu, Xiangqian

doi:10.3390/rs8020126

Cited by 37 publications

(24 citation statements)

References 36 publications

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“…All TEB calibration terms remain the same within one scan, except for RVS that varies with the scan angle. Details of the VIIRS TEB calibration algorithm and procedures are described in previous publications [3,[12][13][14]. Equations (1) and (2) show how the VIIRS TEB EV radiance is calculated:…”

Section: Viirs Teb On-orbit Calibration Algorithmmentioning

confidence: 99%

A New Method for Characterizing NOAA-20/S-NPP VIIRS Thermal Emissive Bands Response Versus Scan Using On-Orbit Pitch Maneuver Data

2019

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The on-orbit calibration of Visible Infrared Imaging Radiometer Suite (VIIRS) Thermal Emissive Bands (TEB), onboard the National Oceanic and Atmospheric Administration-20 (NOAA-20) and the Suomi National Polar-orbiting Partnership (S-NPP) satellites, have been stable during nominal operations. However, larger than expected scan angle/scene temperature dependent biases, relative to the co-located Cross-track Infrared Sounder (CrIS) observations, were observed in the NOAA-20 longwave infrared (LWIR) bands. The Response Versus Scan (RVS) effect—the variation of instrument reflectance of source radiance with scan angle, is a significant contributor to VIIRS calibration. TEB RVS is characterized using prelaunch test data and verified on-orbit using pitch maneuver data. This study presents a new method that characterizes VIIRS on-orbit TEB RVS at both Earth View (EV) and Space View (SV) scan angles simultaneously. This method was compared with an existing on-orbit RVS method (the Wu et al. method), which derives RVS at EV scan angles using pitch maneuver data and extrapolates SV RVS from EV. The new method derived on-orbit RVS differ from prelaunch values up to 1.0% at the beginning of scan in the NOAA-20 LWIR bands, and ~0.5% in S-NPP M15. VIIRS–CrIS inter-comparison results indicates that the new method derived on-orbit RVS can effectively minimize LWIR scan angle/scene temperature dependent biases, with scan averaged biases reduced from 0.40K to 0.15K for NOAA-20 LWIR bands, and from 0.24K to 0.08K for S-NPP M15. The Wu et al. method can also reduce the scan angle dependent biases, but at the expense of increasing the scene temperature dependent biases.

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Section: Viirs Teb On-orbit Calibration Algorithmmentioning

confidence: 99%

A New Method for Characterizing NOAA-20/S-NPP VIIRS Thermal Emissive Bands Response Versus Scan Using On-Orbit Pitch Maneuver Data

2019

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“…A vicarious site is required in inter-calibration to provide samples [36][37][38]. However, there is no special calibration site designed for NTL in the world.…”

Section: Preprocessingmentioning

confidence: 99%

Constructing a New Inter-Calibration Method for DMSP-OLS and NPP-VIIRS Nighttime Light

Guo

Ahmad

et al. 2020

Remote Sensing

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The anthropogenic nighttime light (NTL) data that are acquired by satellites can characterize the intensity of human activities on the ground. It has been widely used in urban development assessment, socioeconomic estimate, and other applications. However, currently, the two main sensors, Defense Meteorological Satellite Program’s Operational Linescan System (DMSP-OLS) and Suomi National Polar-orbiting Partnership Satellite’s Visible Infrared Imaging Radiometer Suite (NPP-VIIRS), provide inconsistent data. Hence, the application of NTL for long-term analysis is hampered. This study constructed a new inter-calibration method for DMSP-OLS and NPP-VIIRS nighttime light to solve this problem. First, NTL data were processed to obtain vicarious site across China. By comparing different candidate models, it is discovered the Biphasic Dose Response (BiDoseResp) model, which is a weighted combination of sigmoid functions, can best perform the regression between DMSP-OLS and logarithmically transformed NPP-VIIRS. The coefficient of determination of BiDoseResp model reaches 0.967. It’s residual sum of squares is 6.136 × 10 5 , which is less than 6.199 × 10 5 of Logistic function. After obtaining the BiDoseResp-calibrated VIIRS (BDRVIIRS), we smoothed it by a filter with optimal parameters to maximize the consistency. The result shows that the consistency of NTL data is greatly enhanced after calibration. In 2013, the correlation coefficient between DMSP-OLS and original NPP-VIIRS data in the China region is only 0.621, while that reaches to 0.949 after calibration. Finally, a consistent NTL dataset of China from 1992 to 2018 was produced. When compared with the existing methods, our method is applicable to the full dynamic range of DMSP-OLS. Besides, it is more suitable for country or larger scale areas. It is expected that this method can greatly facilitate the development of research that is based on the historical NTL archive.

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“…where RVS bb is the response versus scan angle factor when viewing the blackbody (relative to the RVS sv of space view which is set to 1); L bb is the computed band‐averaged blackbody radiance based on blackbody thermistor measurements; L env is the environmental radiance incident on the blackbody; and L mirror is the mirror emission due to differences in the response versus scan angle, dominated by the half angle mirror (HAM), and the rotating telescope assembly. Equation is a simplified version of the equation 37 in Datla et al ., , in which the terms are ordered in significance of contribution following the traditional infrared calibration equation. The full equation with all detailed terms can be found in the Joint Polar Satellite System (JPSS) VIIRS Sensor Data Records (SDR) Algorithm Theoretical Basis Document (ATBD) ( VIIRS ATBD ) [].…”

Section: Calibration Traceability From Prelaunch To Postlaunch Accordmentioning

confidence: 99%

“…Let us call the c 1 the linear slope, c 2 the quadratic term, and c 0 as the offset compensator (discussed later). In the case of heritage methods such as those of MODIS and the Advanced Very High Resolution Radiometer, the linear slope is dynamically calculated and applied on‐orbit based on measurements with the onboard blackbody, while the quadratic term is carried over from prelaunch tests and is static unless it is updated as needed [ Xiong and Chang , ; Datla et al ., ].…”

Section: Calibration Traceability From Prelaunch To Postlaunch Accordmentioning

confidence: 99%

Radiometric traceability diagnosis and bias correction for the Suomi NPP VIIRS long‐wave infrared channels during blackbody unsteady states

et al. 2017

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The Suomi National Polar‐orbiting Partnership Program (NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Thermal Emissive Bands (TEBs) have been performing well since the data became available on 20 January 2012, and the Sensor Data Record data reached validated maturity on 18 March 2014. While overall the validation has shown that these channels have an estimated absolute uncertainty on the order of 0.1 K based on extensive comparisons, there is a remaining issue that persisted over the years. A calibration bias on the order of 0.1 K is introduced in channels such as M15 during the quarterly blackbody temperature warm‐up/cooldown, and the bias is further amplified by the sea surface temperature (SST) retrieval algorithm up to 0.3 K in the global daily‐averaged products which causes an apparent spike in the SST time series. Our investigation reveals that this bias is caused by a fundamental but flawed theoretical assumption in the VIIRS calibration equation, which states that the shape of the calibration curve is assumed unchanged from prelaunch to postlaunch without any constrains. While the assumption may work to account for long‐term degradation, it has a shortcoming during the blackbody unsteady state. In this study, we present a diagnostic and correction method with a compensatory term (Ltrace) to reconcile the assumption such that it removes the calibration bias during the blackbody temperature changes. The methodology has been tested using historical data, and the results are very positive. The implementation has minimal impacts on the operational data processing system and is readily available for use in operations.

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Comparison of the Calibration Algorithms and SI Traceability of MODIS, VIIRS, GOES, and GOES-R ABI Sensors

Cited by 37 publications

References 36 publications

A New Method for Characterizing NOAA-20/S-NPP VIIRS Thermal Emissive Bands Response Versus Scan Using On-Orbit Pitch Maneuver Data

A New Method for Characterizing NOAA-20/S-NPP VIIRS Thermal Emissive Bands Response Versus Scan Using On-Orbit Pitch Maneuver Data

Constructing a New Inter-Calibration Method for DMSP-OLS and NPP-VIIRS Nighttime Light

Radiometric traceability diagnosis and bias correction for the Suomi NPP VIIRS long‐wave infrared channels during blackbody unsteady states

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