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Article

JPSS-4 VIIRS Pre-Launch Calibration Performance and Assessment

1
Science Systems and Applications Inc., 10210 Greenbelt Road, Lanham, MD 20706, USA
2
The Aerospace Corporation, 2310 E. El Segundo Blvd., El Segundo, CA 90245, USA
3
Sciences and Exploration Directorate, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
4
Global Science & Technology, Inc., 7501 Greenway Center Drive, Suite 1100, Greenbelt, MD 20770, USA
*
Author to whom correspondence should be addressed.
Remote Sens. 2025, 17(13), 2146; https://doi.org/10.3390/rs17132146
Submission received: 1 May 2025 / Revised: 13 June 2025 / Accepted: 17 June 2025 / Published: 23 June 2025
(This article belongs to the Collection The VIIRS Collection: Calibration, Validation, and Application)

Abstract

The Joint Polar Satellite System (JPSS) is a collaborative program between NASA and NOAA to provide scientific measurements from multiple polar-orbiting satellites. The development, testing, launch, and operation of the satellites is jointly overseen by NASA and NOAA, with NASA responsible for developing and building instruments, spacecraft, ground systems, and launching into orbit. While three VIIRS instruments are currently on-orbit, spacecraft integration of the two VIIRS instruments planned for launch on the JPSS-3 and -4 spacecraft is ongoing. The latest build in the series, set to be launched on the JPSS-4 platform, recently completed its main ground calibration program at the vendor facility. This program covered a comprehensive series of performance metrics designed to ensure that the instrument can maintain its calibration successfully on-orbit. In this paper, we present the results from the radiometric calibration process, which includes metrics such as dynamic range, signal-to-noise ratio, noise equivalent differential temperature, polarization sensitivity, scattered light response, relative spectral response, response versus scan angle, and crosstalk. All key metrics have met or exceeded their design requirements, with some minor exceptions. Also included are comparisons with previous VIIRS instruments, as well as a description of their expected performance once on-orbit.
Keywords:
JPSS; VIIRS; RSB; TEB; pre-launch; EDR

1. Introduction

The Visible Infrared Imaging Radiometer Suite (VIIRS) is an important sensor onboard the Suomi National Polar-orbiting Partnership (SNPP), NOAA-20 (formerly JPSS-1), and NOAA-21 (formerly JPSS-2) satellites, which are part of the Joint Polar Satellite Systems (JPSS) constellation [1]. VIIRS gathers global measurements of the atmospheric, terrestrial, and oceanic conditions, including sea and land surface temperatures, snow and ice cover, fire locations, water vapor, vegetation, etc. [2,3]. In addition to the continued generation of science products, some of these measurements also support the forecasting of severe weather, such as hurricanes, and assessing the impacts of environmental hazards, such as droughts, forest fires, and coastal water quality, etc. With the launch of two VIIRS instruments onboard the JPSS-4 and JPSS-3 satellites in 2027 and 2032, the JPSS constellation will provide continuity of global observations of the Earth’s land, atmosphere, and oceans through 2038. The VIIRS instruments scheduled to be launched on the JPSS-4 and -3 spacecraft have completed their main ground test program at the RTX facility in El Segundo, CA, and are undergoing the observatory-level testing before launch. The radiometric calibration of the fifth VIIRS build (JPSS-4), based on its ground testing, is the focus of this paper.
To meet the stringent requirements of the scientific community, a well-calibrated VIIRS instrument is a prerequisite. To achieve this, the VIIRS instruments underwent a rigorous calibration program prior to launch, with the ground measurements having traceability to the NIST standards. RTX has successfully developed and implemented a comprehensive test program to calibrate the key aspects of the VIIRS instrument to ensure production of science-quality datasets. This paper will focus on the radiometric performance of the JPSS-4 VIIRS instrument based on the measurements collected during its ground testing. Although not a part of this work, it is worth noting that the test program also included and successfully performed a comprehensive geometric characterization of the JPSS-4 VIIRS instrument, with most metrics showing compliance with the specification. Section 2 will describe the instrument design, including an overview and timeline of the main test program and comparisons with the previous VIIRS builds. Section 3 will describe the sensor performance, including the radiometry, signal-to-noise ratio (SNR) or noise equivalent differential temperature (NEdT), polarization, response versus scan angle, scattered light, and relative spectral response.

2. JPSS-4 Sensor Design and Testing Program

2.1. Sensor Design

The VIIRS instrument follows the legacy of, and improves upon, the measurements that were made by the MODIS instruments onboard the Terra and Aqua platforms. VIIRS was designed to continue the long data record from the MODIS instruments, but with several key changes. Some of the changes incorporated in VIIRS include a consistent spatial resolution throughout the scan, high spatial resolution (375 m) thermal bands, and the inclusion of the day–night band (DNB), which allows for observations of light sources under varying conditions. The first VIIRS instrument was launched in October 2011 onboard the SNPP platform, followed by the November 2017 and November 2022 launches on the NOAA-20 and NOAA-21 platforms. The on-orbit performance of VIIRS has been documented extensively [4,5,6]. The pre-launch performance for the first four VIIRS builds has also been documented before [7,8,9,10].
The VIIRS design encompasses several advancements based on the lessons learned from the heritage sensors. The onboard calibrators (OBCs) include a solar diffuser (SD), SD stability monitor (SDSM), and onboard blackbody (BB). The combination of the rotating telescope assembly (RTA) and a half-angle mirror (HAM) is based on the SeaWiFS design to reduce the instrument response versus scan angle (RVS) effects and stray light contamination. VIIRS also incorporates dual gain bands, which use detector arrays that can switch between the high and low gain to enable an effective coverage of the dynamic range. Another design feature in VIIRS is the three-stage pixel aggregation, where the science data record (SDR) is generated using 3-to-1, 2-to-1, and 1-to-1 pixel aggregation from nadir to edge of the scan, which significantly reduces the pixel size growth with scan angle [2].
Figure 1 illustrates the VIIRS sensor design, consisting of two modules that are separately mounted to the spacecraft: the optomechanical module (OMM) and the electronics module (EM). The OMM consists of all the optical and mechanical assemblies required to collect the Earth and calibration data, whereas the EM provides all the electrical interfaces to the spacecraft to command and control the VIIRS configuration. The VIIRS telescope scans the space view (SV), the Earth, the BB, and the SD sequentially. The rotating telescope scans the Earth’s surface, which is reflected from the HAM into the aft-optics subsystem. The two dichroic beam splitters direct the incoming light onto four different focal plane arrays: the visible and near infrared (VISNIR), the short-wave and mid-wave infrared (SMIR), the long-wave infrared (LWIR), and the DNB focal plane assemblies (FPAs).
Each moderate resolution or imaging band is a linear array of 16 or 32 detectors aligned in the direction of the spacecraft’s motion. The imaging bands (names beginning with “I”) have resolutions of 375 m at nadir, while the moderate-resolution bands (names beginning with “M”) have resolutions of 750 m at nadir. Some bands have two gain states (high and low gain, or HG and LG). VIIRS has a total of 14 reflective solar bands (RSBs), seven M-bands (M1–M7) and two I-bands (I1 and I2) located on the VISNIR FPA, and four M-bands (M8–M11) and one I-band (I3) located on the SMIR FPA. Out of these bands, M1–M5 and M7 are dual gain bands. The RSBs have a spectral coverage from 0.4 to 2.25 µm. In addition, VIIRS has seven thermal emissive bands (TEBs) located on two separate FPAs: two M-bands (M12 and M13) and one I-band (I4) on the SMIR FPA and three M-bands (M14–M16) and one I-band (I5) on the LWIR FPA. The mid-wave infrared (MWIR) bands cover the spectrum between 3.7 µm to 4.1 µm, whereas the LWIR bands cover the spectrum between 8.55 to 12 µm. For the M16 band, there are two sets of 16 detectors, known as M16A and M16B. The M16 band data is the time delay integration of M16A and M16B. Table 1 provides per-band information, which includes the ground field-of-view, spectral range, typical radiance (DNB, VNIR, and SWIR focal planes) or temperature (MWIR and LWIR focal planes) for each gain stage of the band, maximum radiance or temperature, and signal-to-noise ratio or noise-equivalent-delta temperature. The DNB utilizes a temperature-controlled CCD with multiple gain stages (LGS, MGS, HGA, and HGB) to cover a wide dynamic range and capture both day and night imagery. The high-gain stages (HGA and HGB) are redundant and operate in time delay integration (TDI) to improve signal-to-noise ratio, particularly during nighttime observations. The DNB employs on-board aggregation to maintain a 750 m spatial resolution across the entire swath and uses 32 aggregation modes.
The SD is a Spectralon® diffuser with its bidirectional reflectance distribution function (BRDF) measured pre-launch. Together with an SD attenuation screen, it acts as a primary calibration source for the VIIRS RSB. To track the on-orbit change of the SD’s BRDF, a solar diffuser stability monitor (SDSM), a stand-alone instrument with eight silicon detectors equipped with filters to match the VISNIR bandpasses, is used to measure the direct sun view and the SD view in a near-simultaneous manner. A full-aperture BB with a V-groove design and six thermistors serves as the primary calibration source for the TEB. During nominal operations, the BB is controlled at 292.5 K but can be commanded from ambient to 315 K.
While there have not been any significant changes in the VIIRS design, there have been some component-level modifications between builds that have affected the performance and compliance. Several improvements were made to JPSS-3 based on the lessons learned from JPSS-2 VIIRS characterization. These included a DNB CCD with updated biases, improved dichroic to reduce polarization sensitivity, SDSM filter redesign to reduce out-of-band leaks, tighter RTA tolerancing for wavefront error and line-of-sight, and tighter effective focal length bounds to achieve scan overlap. During the later stages of the JPSS-3 TVAC testing, the single-layer insulation seam tape was observed to short the cryoradiator’s cold stage to the intermediate stage, leading to a loss of thermal margin, a behavior that could have had a significant impact on the performance post-launch. This issue was addressed in JPSS-3 VIIRS and in JPSS-4 VIIRS, as both builds have the same design. A few other modifications related to parts, materials, and processes were also incorporated, but are not expected to have any impact on the VIIRS performance post-launch.

2.2. Sensor Testing Program

The VIIRS instrument, scheduled to be launched on the JPSS-4 spacecraft, completed its intensive ground test program to ensure proper instrument characterization and calibration. Since the testing on VIIRS Flight Unit 1 (F1), launched later on the SNPP spacecraft, the program has undergone certain modifications and enhancements based on the lessons learned from the testing of each build. The VIIRS test program covers the following pre-launch phases: sensor ambient (Fall 2021), pre-thermal vacuum (TV), sensor TV, sensor post-TVAC (August to December 2023), and spacecraft TV (expected in 2026).
During the ambient phase of testing, several key characterizations are performed, including the instrument polarization sensitivity, response-versus-scan angle (RVS), near-field response (NFR), stray light, preliminary gain characterization, and, most importantly, the relative spectral response characterization (RSR) using laser-based measurements from the Goddard Laser-based Absolute Measurement of Radiance (GLAMR) system [11]. The key sensor characteristics that were observed from these tests are discussed in this paper. The TVAC phase of testing provides the key characterization of the instrument gain at three different temperature plateaus, as well as the sensitivity of the gain in relation to changing EM and OMM temperatures during each transition. These measurements form the basis of the look-up tables (LUTs) that are derived for on-orbit calibration. Furthermore, various performance metrics, such as SNR, dynamic range, saturation, radiometric response uniformity, and radiometric characterization uncertainty, are also evaluated from this dataset. The Spectral Measurement Assembly (SpMA)-based measurements acquired during the TVAC testing combined with the GLAMR-based measurements culminated in an at-launch release version of the relative spectral response [12]. TVAC testing measured the dynamic range, noise, and gain transition, but also characterized the detector response at three temperature plateaus: cold (~253 K), nominal (~268 K), and hot (~283 K). JPSS-4 VIIRS demonstrated the expected functionality and performance at a cold focal plane assembly (CFPA) set point of 80 K during TVAC testing. The instrument will be operated at this CFPA set point at launch.

3. JPSS-4 Pre-Launch Characterization and Performance

This section will review the pre-launch characterization and performance of the JPSS-4 VIIRS instrument.

3.1. RSB Calibration Performance

The RSB calibration is performed using a NIST-traceable 100 cm-diameter spherical integration source (SIS-100) and a high-radiance three-mirror collimator (TMC) SIS for the short wavelength low gain bands where the SIS-100 does not sufficiently cover the dynamic range. Also included as part of the test setup is a linear attenuator assembly (LAA), which consists of a metal sheet with evenly spaced holes designed to provide a transmission of approximately 56% [13]. The screen is mounted on a linear drive to move it in and out of the optical path of the source. Since the RSB sources are not known to the accuracy necessary for a direct radiance versus dn polynomial fit, the d n o u t   and d n i n   , in pairs, are used to compute the shape of the calibration curve. Equation (1) presents the polynomial relationship of the VIIRS response to the SIS without the LAA in the optical path d n o u t   in terms of calibration coefficients: c 0 , c 1 , and c 2 :
L S I S = c 0 + c 1 d n o u t + c 2 d n o u t 2
Equation (2) similarly relates the VIIRS response to the SIS with LAA attenuation ( d n i n ) to the same coefficients. This requires an additional term to account for the signal attenuation ( τ L A A ):
L S I S = c 0 + c 1 d n i n + c 2 d n i n 2 τ L A A
The SIS is cycled through a series of illumination levels in both fixed high gain and fixed low gain to ensure coverage across the entire dynamic range. Figure 2 (left panel) shows an example of VIIRS response (dn) versus the SIS-100 radiance (L) for the high-gain stage of band M2. Using the least squares fit, the calibration coefficients are estimated. The middle panel shows the fractional fit residuals, and the right panel depicts the measured SNR showing compliance against specification. The d n i n and d n o u t for each SIS-100 source level are used in a least squares regression to determine the   τ L A A , ( c 0 c 1 ), and ( c 2 c 1 ) values for each gain state, band, detector subframe, and HAM side. These calibration coefficients are then included as a part of the at-launch LUT that is used for on-orbit SDR generation. In most cases, the ( c 0 c 1 ) term was very small and will likely be set to zero in the on-orbit calibration, as has been the case in the current VIIRS instruments. The term ( c 2 c 1 ) was also seen to be extremely small (on the order of 10−6), with no major detector dependence observed. One exception to this behavior is the larger ( c 0 c 1 ) in the case of band I3, indicating some non-linearity at the lower end of the dynamic range. Such behavior was more widespread in all the SWIR bands on JPSS-1 VIIRS and was addressed on-orbit via a quartic calibration expression, an approach that could also be adopted for JPSS-4 VIIRS.
In addition to the radiometric gains, the SNR was also measured as a function of radiance using the SIS-100 data collected. A model was used to fit the measured SNR to estimate the value at a typical radiance, which is compared with the specification. Shown in Table 2 are the band-averaged SNR values for all builds from the nominal plateau data collected, showing compliance by large margins. For ease of presenting the results, the JPSS 1–4 VIIRS are referred to as J1 to J4 in the result tables. The dynamic range of the RSBs is assessed by comparing the saturation radiance with the maximum radiance (also listed in Table 1). The measured band average saturation radiances for all VIIRS builds are included in Table 3. All bands on JPSS-4 saturate above Lmax. In previous builds (SNPP through JPSS-2 VIIRS), bands I3 and M8 saturated early (below Lmax). Digital saturation was observed for bands M2-M7, M9-M11, and I1 (analog saturation was observed for bands M4-M7 and M9-M10 at a radiance above the digital saturation); analog saturation was also observed for bands M8, I2, and I3. Due to hardware improvements in J2 onwards, the rollover behavior for most bands is observed at larger radiance values compared to SNPP and J1. This is expected to decrease the number of pixels impacted by rollover in the SDRs on-orbit. In the case of the dual gain bands, the data collected during the radiometric testing was also used to assess whether the bands met the transitional radiance requirements.
During the temperature transition between the plateaus, the SIS-100 at a fixed illumination level is used to assess the stability of the calibration coefficients with varying temperatures. These measurements will supplement the calibration coefficients computed at each plateau while preparing the at-launch LUTs. Furthermore, the SIS-100 at a fixed illumination level was also used to assess temporal stability and stability with respect to varying bus voltages. A design requirement limits the variability of the gain between two successive calibrations to be less than 0.3%, where the two successive calibrations correspond to two SD views on orbit, separated by about 100 min. The variations for all RSB with respect to the temporal or bus voltage changes were very small, well within the 0.3% requirement. More details on the JPSS-4 VIIRS RSB can be found here [14].

3.2. TEB Calibration Performance

The VIIRS TEB calibration is referenced to the blackbody calibration source (BCS), a NIST traceable source, with uncertainty less than 0.06 K at 10 µm and 300 K. Other blackbody sources included in the pre-launch testing were the high temperature blackbody and the three-mirror collimator (TMC) blackbody, placed outside of the TVAC chamber, with a maximum temperature of about 760 K, and required to calibrate the M13 low gain. The remaining two sources included the onboard blackbody, which provides calibration post-launch, and a cold BB source maintained at around ~90 K to simulate the deep space view required for background subtraction.
During the performance testing at the three temperature plateaus, the sources were cycled through a series of discrete temperature levels, whereas the source temperatures are fixed during the stability testing. Results from performance testing were used to assess various metrics such as NEdT, the absolute radiometric difference (ARD), the radiometric characterization uncertainty, and the radiometric response uniformity. In addition to the performance testing at the CFPA baseline temperature of 80 K, there were additional special and limited tests where the BB temperature was cycled for CFPA set points of 78 K and 82 K. Testing at additional CFPA temperatures leads to a more complete characterization of the VIIRS TEB and acts as a contingency for scenarios where an alternate CFPA set point is preferred. This proved useful for J2 VIIRS when the CFPA temperature on-orbit was changed from the baseline pre-launch temperature of 82 K to 80 K due to better-than-expected cryocooler performance. The CFPA set point chosen during preflight testing has varied over the different VIIRS builds, with 80 K in the case of SNPP, 80.5 K for J1, 82 K for J2 and J3, and 80 K for J4.
The TEB radiometric calibration assumes the radiance reaching a given detector is the sum of the source radiance and contributors along the optical path (i.e., the RTA, HAM, and aft optics). The path difference radiance between the two sources (BCS and SV) is calculated as:
L B C S = R V S B C S ε B C S L B C S ( R V S B C S R V S S V ) ρ R T A [ L H A M 1 ρ R T A L R T A ]
where RVS is the scan angle-dependent relative reflectance of the HAM, and the reflectance factors represent the total reflectance of the RTA mirrors. The temperature of each source is determined from one or more thermistors and the radiances for the sources are determined via Planck’s law, convolved over the J4 VIIRS RSR for each spectral band. The path difference radiance is modeled as a quadratic polynomial as follows:
L = c 0 + c 1 d n + c 2 d n 2
where d n represents the offset corrected digital response. Finally, the retrieved Earth view (EV) radiance for the BCS is determined by inverting Equation (3), expressed as:
L B C S r e t = ( c 0 + c 1 d n B C S + c 2 d n B C S 2 )   R V S B C S + R V S B C S R V S S V R V S B C S ρ R T A   [ L H A M ( 1 ρ R T A ) L R T A ]
TEB radiometric calibration coefficients were calculated for all detectors, HAM sides, electronic sides, temperature plateaus, and CFPA set points where testing was performed. NEdT is a metric to quantify the variation in the scene temperature equivalent to the system noise and was computed using the inverse of Planck’s law with respect to source temperature. SNR was modeled as a path difference source radiance divided by the square root of a quadratic polynomial.
Figure 3 shows an example of the response and NEdT trends for the detectors of I5 HAM A, subsample (SS) one, electronic side A from the nominal plateau measurements. In general, the offset coefficients ( c 0 ) are on the order of 10−2 or less and show consistent behavior over instrument conditions and electronic sides. The LWIR offset term exhibited detector dependence but not TV plateau dependence, except M14, which showed some sensitivity to instrument temperature. The non-linear coefficients ( c 2 ) were generally small, with values less than 10−8. The band average gains (1/ c 1 ) were computed for all TV test instrument configurations. The MWIR gains showed small changes (<2%) as a function of the CFPA set point, and the LWIR gains showed 5–10% increases as the temperature increased, a behavior that is consistent with previous VIIRS builds. The gain temperature sensitivities are used to create the on-orbit calibration coefficient LUTs that adjust for the different instrument temperatures. Separate LUTs are made for each CFPA temperature set point and electronics side configuration. The instrument stability was tested as a function of time (at each plateau), temperature (during the transitions between the plateaus), and with respect to bus voltages to simulate expected on-orbit variations. Together with the gain temperature sensitivities, the temperature dependence during the plateau transitions is also used in the generation of the on-orbit calibration coefficient LUTs.
As shown in Figure 3, the NEdT increases as the scene temperature decreases. In the case of LWIR bands, the NEdT is below 0.5 K at even low scene temperatures, but for the MWIR bands, it increases between 3–6 K at 230 K, an expected behavior that was also observed in previous builds. The instrument requirement on the NEdT at the typical scene temperature along with the measured values for primary electronic side at the chosen CFPA set point are shown in Table 4. There is only a slight increase in the NEdT at Ttyp with the CFPA temperature for the LWIR bands, but it does show a slight increase with the instrument temperature for all bands on both electronic sides. Also listed in Table 4 is the specification and the values from previous builds, which show compliance by a significant margin.
The dynamic range is defined, at the low end, by an SNR limit of 3, and on the high end, by the saturation, as shown in Table 5. All bands saturate above the specified maximum temperature, with all bands except I4 and M12 saturating digitally first. These two bands exhibit analog saturation at higher radiance, a behavior common to all VIIRS builds, which leads to a rollover in the response, resulting in false lower radiance values showing up for some pixels. The small percentage of pixels affected by this behavior have been successfully flagged in the science products and can also be correlated with M13 to obtain any critical scientific information that might be compromised. Additional measurements were made for J3 and J4 to characterize the rollover region for use in fire detection algorithms.
The low gain of M13 was observed to digitally saturate only during the ambient testing in the case of J3 and J4 and, hence, is not included here. For the low end of the dynamic range, the SNR was observed to be over 100 for the bands M15, M16A, and M16B, and was between 10 and 50 for bands I5, M12, and M13, but reduced to below 3 (threshold) inside the specified dynamic range for I4 and M14. This is largely attributed to the larger noise in I4 (compared with M12) and the large difference in the RVS from space view to Earth view in the case of M14.
The ARD specification denotes the percentage difference between the calculated retrieved radiance and theoretical scene radiance based on source temperature measurements and is shown in Table 6 for all VIIRS builds at the specified temperatures. The ARD are largely consistent over all temperature conditions (instrument and CFPA) as well as electronic sides. While the ARD for all LWIR bands is less than 0.2% above 210 K, the MWIR bands I4, M12, and M13 have an ARD up to 0.8% for scene temperatures above 270 K, indicating the fitting inaccuracy to the radiance retrieval for these bands.
Another metric used to diagnose possible detector-to-detector striping is the radiance response uniformity (RRU), which is measured by comparing the difference of the retrieved radiance per detector with the average of the measured NEdL, with a value of 1, indicating a potential for striping. As in previous builds, this metric was seen to increase with temperatures but met the design requirement that applies between Lmin and 0.9 Lmax for all bands except M12 at the highest scene temperature. Similar to the RSBs, the TEB calibration stability is also characterized at a fixed BCS temperature while varying the instrument conditions. The temporal and bus voltage variations were very small, with maximums of about 0.2%. For the instrument temperature, the variation with analog signal processor and OMM temperatures was measured to be about 0.4% for the LWIR bands and less than 0.2% for the MWIR bands. The gain and noise performance of the LWIR bands varies significantly with FPA temperature, and this influences the dynamic range when testing at different FPA set points. More details on the JPSS-4 VIIRS TEB can be found here [15].

3.3. DNB Calibration Performance

The DNB radiometric calibration process requires two offset tables, one applied in the flight software and the second applied in the ground calibration, and a linear gain coefficient. In addition, an important aspect of the DNB calibration is the assessment of the stray light when the satellite passes through the penumbra. As a part of the dark offset characterization test, data is collected in the dark conditions to measure the offsets and compute the onboard table, and then a repeat run with the onboard tables uploaded to characterize the remaining offset is performed to prepare a corresponding table for ground calibration. The tables are designed to flat-field the DNB and are set at target values of 350 for HGA and HGB, 200 for MGS, and 60 for LGS in 14-bit DN. The at-launch tables were produced from the nominal plateau measurements with all samples in each of the CCDs reaching the target level. Some values of the onboard offsets for samples in HGB on the A-side (and B-side) electronics were larger than 5% of the dynamic range, which required an adjustment to the saturation threshold, a process that was also necessary for J3 VIIRS.
As with the RSB, the radiometric test measures the DNB response of the SIS calibrated light levels to estimate the linear gain coefficient. To characterize the low end of the MGS and HGS dynamic range, additional SIS lamps are also used, with the radiance for each of these lamp levels being calibrated before the start of the thermal vacuum testing campaign. Due to the operation of the DNB, the gains need to be computed for every detector and aggregation mode. An example of the radiance versus digital counts for select aggregation zones is plotted in Figure 4 for all three gain stages. The fits are performed between the specified dynamic range for each gain stage, defined either by Lmin or the gain transition point on the low end and the gain transition or Lmax at the high end. For most cases, the relationship between the radiance and dn was well-behaved, similar to J2 and J3 VIIRS. A non-linear behavior was observed in the LGS at low radiance in some aggregation modes. The case of mode 29 resulted in linear fit residuals greater than the uncertainty requirement. Similar behavior was also observed in J2 and J3 VIIRS pre-launch testing and might require some adjustments in the on-orbit calibration to prevent this non-linear behavior from propagating to the MGS or HGS when computing the gain ratios. However, from the on-orbit performance of J2 VIIRS (NOAA-21 after launch), no major impacts due to this behavior have been observed so far, and hence, no modifications have been made to the on-orbit processing. The fit residuals are within the specified calibration uncertainty of 5% at Lmax/2, 10% at the transition from LGS to MGS, 30% at the transition from MGS to HGS, and 100% at Lmin, except for mode 29 in the LGS. These measurements will be used to create the at-launch tables for LGS gains, offsets, and gain ratios of MGS/LGS and HGS/LGS.
The DNB sensitivity requirement specifies a minimum SNR performance at Lmin; however, since there was no measurement at Lmin, a fit is used to evaluate the SNR at Lmin after adjusting for the spectral differences between the SIS-100 and lunar illumination. In general, all the modes across both HGS CCDS (HGA and HGB) meet or exceed the requirement. The intra-aggregation mode uniformity evaluates the standard deviation of the calibrated radiance for all detectors within the given aggregation mode when viewing a uniform scene. The specification applies to all radiance levels from Lmin to 0.9 Lmax, and the limit is either 0.005 *L or half the noise, whichever is larger. In J4, only 13 modes had non-compliances, and those occurred at isolated radiance levels, where the standard deviation was larger than specified. Aggregation mode 29 had the largest fit residuals and issues with uniformity. The inter-aggregation uniformity looks at the difference in the retrieved radiance between the adjacent aggregation modes while viewing a uniform scene. This showed a greater number of non-compliances, which was also observed in previous builds. The HGS showed the best performance with non-compliances found among detectors in only five transitions, as compared to 21 transitions in LGS and 14 in MGS. More details on the JPSS-4 VIIRS DNB can be found here [16].

3.4. Relative Spectral Response Characterization

A high-quality spectral characterization of VIIRS is a prerequisite for deriving the climate quality TOA radiances from Earth observations. This characterization was based on measurements using the SpMA dual monochromator for all bands and the GLAMR laser system for the reflective solar bands. The SpMA and GLAMR measurements for the RSBs were combined to produce a “fused” RSR that was released to the science community and is to be used as a part of the at-launch LUT. For the emissive bands, the SpMA measurements provided the entire characterization. VIIRS has several spectral performance requirements, including center wavelength, bandwidth, 1% limits, and maximum integrated out-of-band (IOOB), which are listed in Table 7, along with the measurements derived by NASA’s VIIRS data analysis working group (DAWG) team, which are a part of the released RSR. The measured values are within the prescribed specifications, except for the bandwidth of M14, which has marginal exceedance [8]. Figure 5 shows the released RSR profiles for select bands across all five builds, showing the impact of design/hardware changes through the program, resulting in differences in the RSR profiles for a given band.

3.5. Polarization Characterization

The ocean color community uses the calibrated SDRs from bands M1 to M7 (0.41 µm to 0.865 µm) for a variety of ocean color products that require an accurate characterization of the polarization sensitivity to compensate for polarized upwelling Rayleigh scattering. The VIIRS polarization sensitivity requirements for these bands are as follows: maximum amplitude for ±45° scan angle should be within 3% for bands M1, M7, and I2, within 2% for the rest of the bands, and less than 0.5% uncertainty for all the bands above. The pre-launch test source also uses a 100 cm SIS with a rotating polarizer sheet placed between the source and the sensor, which is rotated in 15° intervals through a full 360° rotation. The sensor response variation with each polarizer sheet rotation is used to characterize the polarization sensitivity of its optical system. A more detailed description of the testing and analysis methodology can be found here [17]. Significant differences have been observed in the polarization sensitivity among the different VIIRS builds, with J1 VIIRS showing the largest sensitivity. Subsequent hardware modifications have reduced the measured polarization sensitivity of the J2-J4 VIIRS. The amplitude of polarization sensitivity or degree of linear polarization (DoLP) is shown for JPSS-4 in Figure 6, with detectors for each band plotted horizontally with increasing detector numbers. The results at different scan angles are shown with different colors and symbols. As seen from the figure, all detectors and scan angles meet the sensor design specification, which is expected based on the results from the previous builds.

3.6. Stray Light Characterization

The far-field stray light performance was characterized using a 1000 W studio lamp placed at several positions to simulate the light from the Earth disk as seen from VIIRS on-orbit, while the telescope was staring at a blackbody. The response for all the lamp positions was summed, weighted by the section of the Earth disk each measurement represents, and scaled from the lamp irradiance to the expected Earth irradiance. The expected counts resulting from stray light are shown in Table 8 for each band. Also presented in Table 8 is the ratio of the d n s t r a y to the d n s p e c , where the specification is the allowed counts due to stray light, and a value less than unity indicates compliance with the requirement. Results from previous VIIRS builds, now on-orbit, are also included here. Overall, all bands are compliant with the specification for J4 VIIRS, a feature also seen across previous VIIRS builds. The band M11, a non-compliant band in SNPP, was found to be compliant in latter builds because the Ltyp requirement was changed from 0.12 (SNPP) to 1.0 W/m2/sr/µm. Additional details about the stray light methodology and performance can be found in [18]. Separate pre-launch tests were performed to identify and mitigate paths of DNB stray light starting with J2 VIIRS, after significant evidence of stray light was found for SNPP and J1 VIIRS DNB on-orbit in the HGS for observations near the terminator. J2 VIIRS DNB also introduced additional baffling to its design to reduce the impact of stray light, with similar design improvements also implemented in J4 VIIRS.

3.7. Near-Field Response Characterization

The near-field response, defined as scattered light within 4° from the RTA line of sight, was characterized using a scatter measurement assembly (ScMA) consisting of a high-energy tungsten filament source for the RSB and a heated ceramic glowbar source for the TEB. The source is collimated before passing through a slit slightly smaller than the width of one M-band detector. Bandpass filters were used to minimize the crosstalk contamination and neutral density filters were used to measure the unsaturated response of the slit and scale it with the near-field measurements made without the ND filters. These two measurements together provide the total NFR with the requirement defined as a structured scene performance specified as the maximum allowable response at a specified angle limit coming off a 20 × 20 km bright target for each band. To estimate the structured scene response, a Harvey-Shack BRDF scattering model was used to fit the measured NFR profile and remove test artifacts and noisy samples. The NFR profiles were convolved to simulate the bright target as described in the sensor-structured scene requirement. Figure 7 shows the normalized response for band M3 detector 8 and represents a typical profile observed in the VIIRS NFR measurements when the sensor is scanning the source through a vertical slit reticle. The figure shows the NFR falling off rapidly from the peak, with the additional sharp drops seen at the field baffle locations.
Some minor non-compliances were observed for bands M7, M13, M16A, and I3 in J4 (also in J3 VIIRS) as seen in Table 9. Additionally, bands M8 and M10 also showed non-compliance in J4 NFR testing. As in previous builds, these non-compliances are not expected to show any major impact on science data [19].

3.8. Crosstalk Characterization

The VIIRS crosstalk characterization was performed as a part of pre-launch testing. Multiple tests were performed aimed at measuring electronic or optical crosstalk between VIIRS bands. Improvements have been made in the VIIRS design over the JPSS program including updates to detector design and procurement specifications for optical filters. Generally, each successive VIIRS instrument has shown improved crosstalk performance. J4 VIIRS showed two instances of unexpected increases in crosstalk compared to J3. Band M6 detectors show a stronger crosstalk response from bands I2 and M7. Figure 8 presents the response from band M6 detectors, while a single band M7 detector is illuminated during crosstalk testing for J1 through J4 VIIRS instruments. The sender signal in band M7 was measured at about 60% of the dynamic range and scaled to L m a x for comparison against design requirements. The values displayed in Figure 8 are after scaling to L m a x   and should simulate the same illumination conditions on the sender band. M6 detector responses are shown as a fraction of Ltyp. The response pattern observed for J4 VIIRS has been seen in past builds, where the along-scan aligned detector measures a larger signal than other detectors, and the following detector measures a negative signal. The magnitude of these responses is much larger (over 3x) than seen previously and is representative of all other measured detectors for these bands. Band I2 detectors induce a similar larger response in the along-scan aligned M6 detectors for J4 VIIRS. The second instance of unexpected crosstalk occurs for band I3, where a strong signal in a single detector causes a larger-than-expected response three detectors away in the same band (band I3) [20].

3.9. RVS Characterization

The RVS characterization, also a requirement for the at-launch tables, was performed during the ambient phase of testing for the RSB using the SIS-100 and the Lab Ambient Blackbody (LABB) and onboard BB for the TEB. Data was collected at multiple angles of incidence (AOI) and fitted using a quadratic polynomial after correcting for source drift and background radiances. Figure 9 shows the band-averaged RVS functions for HAM-side A, with minor differences in HAM-B. Except for band M1, the RVS variation for the VIS/NIR bands is less than 0.5%. The SMIR band RVS showed very little variation across the scan angle range of less than 0.5%. In contrast, the LWIR RVS changes up to 10% for band M14 over the range of AOI. All the RSBs and TEBs met their uncertainty specification of 0.3% and 0.2%, respectively, by a significant margin. Overall, the RVS performance observed in J4 VIIRS is very similar to the previous builds and is expected to exhibit similar stable behavior on-orbit, as has been observed in the case of SNPP, JPSS-1, and J2 VIIRS [21].

3.10. OBC Characterization

In addition to the several functional and system-level tests described above, a comprehensive characterization of the onboard calibrators is also performed. The characterization of the SD and SDSM is of particular importance as the RSB and DNB rely on their observations, with both views using attenuation screens. The SD bidirectional reflectance distribution function (BRDF) and the SD and SDSM solar attenuation screen functions were also characterized by the instrument vendor at the component level. The significant OOB response observed at short wavelengths in the SDSM detectors of J1 VIIRS was addressed using hardware modifications in J2 VIIRS; however, a different source of OOB signal was identified, causing higher uncertainty. Subsequently, these issues were addressed in J3 and carried over to J4 VIIRS.
The SD’s BRDF characterization has a particular relevance towards the on-orbit calibration of the VIIRS RSB. The absolute scale of the VIIRS RSB calibration is set using the BRDF measurements acquired pre-launch and is often critical in establishing the calibration consistency between different VIIRS builds. Work is underway to assess the impacts of pre-launch BRDF measurements, possibly assessing the calibration biases between different VIIRS instruments.
The OBC-BB, set to 292 K for most of the TV testing, has six thermistors to monitor the uniformity across the surface. The standard deviation of the six thermistor readings was used to monitor the uniformity and stability change as a function of VIIRS optical temperature, as shown in Figure 10. The OBCBB design requirement is for less than 30 mK of uniformity over the mission lifetime and plays an important role in maintaining the radiometric accuracy of science products. The OBCBB nonuniformity observed in Figure 10 is expected to have an additional increase from the day–night cycling observed on-orbit. While SNPP, J1, and J4 are seen to meet the 30 mK requirement, non-compliances are observed in the case of J2 and J3 VIIRS that could potentially lead to biases in the TEBs based on the satellite position on-orbit. The larger nonuniformity in the J2 was investigated by the instrument vendor and was attributed to the bonding of the heater to the back of the blackbody.

4. Conclusions

The J4 VIIRS instrument underwent a comprehensive pre-launch testing program at the vendor facility in El Segundo, CA, from 2021–2023. Key performance metrics were characterized in terms of comparisons to the design specifications. Key radiometric and spectral performances were discussed in this paper. The J4 VIIRS’s performance, as summarized in this work, has met or exceeded its design requirements, with a few exceptions, and is comparable in performance to its predecessor’s instruments. The J4 VIIRS spectral band calibration and characterization have shown very good performance in terms of SNR, NEdT, dynamic range, gain transition, and linearity. Some non-linear behavior in the offset coefficient of the calibration equation was observed in the detectors of I3, similar to what was observed in J1 VIIRS. A known mitigation of this issue is available for this behavior, which is expected to diminish any impact on the SDR or environmental data record. Apart from minor non-compliances, the TEB and DNB characterization also met the requirements, showing performance that was comparable to previous builds. The RSR characterization measurements and the subsequent efforts to release the Government Team’s at-launch RSR have also been completed. Similar to previous JPSS VIIRS missions, the RSR release is a combination of the GLAMR- and SpMA-based measurements.
In conclusion, the J4 VIIRS test program was completed successfully and provided a comprehensive test data set for sensor requirement verification, with many lessons learned for future Earth-observing sensors. It also showed that the overall pre-launch sensor radiometric performance was of high quality. Efforts are underway to integrate VIIRS to the J4 spacecraft, along with other instruments, and continue the observatory-level testing before launch in 2027.

Author Contributions

Conceptualization, A.A., D.M., J.M. and X.X.; methodology, A.A., D.M., J.M., T.S. and D.L.; software, A.A., D.M., J.M., T.S. and D.L.; validation, Q.J. and C.S.; formal analysis, A.A.; investigation, A.A.; resources, X.X.; data curation, A.A.; writing—original draft preparation, A.A.; writing—review and editing, all.; visualization, A.A.; supervision, X.X.; project administration, X.X.; funding acquisition, X.X. All authors have read and agreed to the published version of the manuscript.

Funding

This work received no external funding.

Data Availability Statement

The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.

Acknowledgments

Raytheon Technologies for design, execution, and data dissemination for the preflight characterization of the JPSS-4 VIIRS instrument. James McCarthy and Jason Geis for their efforts as a part of NASA’s onsite team. The efforts of Chris Moeller for leading the RSR characterization effort are also acknowledged and appreciated.

Conflicts of Interest

Authors Amit Angal, Daniel Link, Thomas Schwarting, Jeff McIntire and Qiang Ji were employed by the company Science Systems and Applications Inc. Author David Moyer was employed by the company The Aerospace Corporation. Author Chengbo Sun was employed by the company Global Science & Technology, Inc. The remaining author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

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Figure 1. VIIRS sensor design based on two separate modules—EM and OMM—which include the RTA, HAM, and aft-optics.
Figure 1. VIIRS sensor design based on two separate modules—EM and OMM—which include the RTA, HAM, and aft-optics.
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Figure 2. (Left) VIIRS response for each detector (different color) plotted versus SIS-100 L for band M2 from nominal plateau performance testing. Blue vertical dotted lines denote Lmin and Lmax; the pink line denotes Ltyp. (Middle) Fractional residuals associated with the fits shown in the left panel. (Right) SNR plotted versus SIS-100 radiance and evaluated (horizontal dotted lines) against the specification (solid black horizontal line) at Ltyp.
Figure 2. (Left) VIIRS response for each detector (different color) plotted versus SIS-100 L for band M2 from nominal plateau performance testing. Blue vertical dotted lines denote Lmin and Lmax; the pink line denotes Ltyp. (Middle) Fractional residuals associated with the fits shown in the left panel. (Right) SNR plotted versus SIS-100 radiance and evaluated (horizontal dotted lines) against the specification (solid black horizontal line) at Ltyp.
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Figure 3. (Left) dn versus L trends for the I5 detectors from the nominal plateau collections. (Right) NEdT plotted as a function of BCS temperatures. The vertical dashed lines denote the Lmin, Ltyp, and Lmax, respectively.
Figure 3. (Left) dn versus L trends for the I5 detectors from the nominal plateau collections. (Right) NEdT plotted as a function of BCS temperatures. The vertical dashed lines denote the Lmin, Ltyp, and Lmax, respectively.
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Figure 4. J4 VIIRS DNB response versus radiance for selected aggregation modes.
Figure 4. J4 VIIRS DNB response versus radiance for selected aggregation modes.
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Figure 5. In-band RSR comparison across the different VIIRS builds for select bands.
Figure 5. In-band RSR comparison across the different VIIRS builds for select bands.
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Figure 6. J4 VIIRS degree of linear polarization per band and detector across scan angles (symbols and colors).
Figure 6. J4 VIIRS degree of linear polarization per band and detector across scan angles (symbols and colors).
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Figure 7. NFR results for band M3 detector 8.
Figure 7. NFR results for band M3 detector 8.
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Figure 8. JPSS-4 crosstalk performance for band M6 and comparison with previous builds.
Figure 8. JPSS-4 crosstalk performance for band M6 and comparison with previous builds.
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Figure 9. Band-averaged RVS functions for HAM-A of JPSS-4 bands.
Figure 9. Band-averaged RVS functions for HAM-A of JPSS-4 bands.
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Figure 10. The standard deviation of the six thermistors in the on-board blackbody (OBCBB) in K plotted versus instrument temperature for each JPSS instrument build.
Figure 10. The standard deviation of the six thermistors in the on-board blackbody (OBCBB) in K plotted versus instrument temperature for each JPSS instrument build.
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Table 1. VIIRS band design information that includes the ground field-of-view, spectral range, typical radiance (DNB, VNIR, and SWIR bands) or temperature (MWIR and LWIR bands) for each gain stage of the band, maximum radiance or temperature, and signal-to-noise ratio or noise-equivalent-delta temperature. Radiances in W/m2/Sr/µm and temperature in Kelvin. Note: The DNB specification is for Lmin, where the SNR requirement is evaluated. There is no Ltyp specified for DNB.
Table 1. VIIRS band design information that includes the ground field-of-view, spectral range, typical radiance (DNB, VNIR, and SWIR bands) or temperature (MWIR and LWIR bands) for each gain stage of the band, maximum radiance or temperature, and signal-to-noise ratio or noise-equivalent-delta temperature. Radiances in W/m2/Sr/µm and temperature in Kelvin. Note: The DNB specification is for Lmin, where the SNR requirement is evaluated. There is no Ltyp specified for DNB.
BandGround FOV (m)Spectral Range (µm)Gain StageLtyp or TtypLmax or TmaxSNR or NEdT
VNIR
DNB7500.50–0.90Variable0.000032006
M17500.40–0.42High44.9135352
Low155615316
M27500.43–0.45High40127380
Low146687409
M37500.47–0.49High32107416
Low123702414
M47500.54–0.56High2178362
Low90667315
I13750.6–0.68Single22718119
M57500.66–0.68High1059242
Low68651360
M67500.73–0.75Single9.641199
I23750.84–0.88Single25349150
M77500.84–0.88High6.429215
Low33.4349340
SWIR
M87501.23–1.25Single5.416574
M97501.37–1.38Single677.183
I33751.58–1.64Single7.372.56
M107501.58–1.64Single7.371.2342
M117502.22–2.27Single0.1231.810
MWIR
M127503.66–3.84Single2703530.396
M137503.97–4.12High3003430.107
Low3806340.423
I43753.55–3.93Single2703532.5
LWIR
M147508.40–8.70Single2703360.091
M1575010.26–11.26Single3003430.07
I537510.50–12.40Single2103401.5
M1675011.53–12.48Single3003400.072
Table 2. Pre-launch SNR results from the nominal plateau, collected for all VIIRS builds.
Table 2. Pre-launch SNR results from the nominal plateau, collected for all VIIRS builds.
BandGainSNR_SpecSNPPJ1J2J3J4
M1HG352613636650680679
M1LG31610421066104010381108
M2HG380600573600616602
M2LG409963986104010171023
M3HG416683706753764755
M3LG41410081063124011401095
M4HG362526559611601596
M4LG315864844993907985
M5HG242373380366353354
M5LG360776751730759761
M6HG199409428429399412
M7HG215524549564530533
M7LG3407217609508141064
M8HG74358335240364279
M9HG83290325232204212
M10HG342691765685662537
M11HG10105216198223217
I1HG119261227212235276
I2HG150273287285266277
I3HG6176190172180147
Table 3. Pre-launch saturation radiance trending from the nominal plateau, collected for all VIIRS builds. The Lsat and Lmax values are in W/m2/sr/um.
Table 3. Pre-launch saturation radiance trending from the nominal plateau, collected for all VIIRS builds. The Lsat and Lmax values are in W/m2/sr/um.
BandGainLmax (Spec)Lsat
SNPPJ1J2J3J4
M1HG135172154184170172
M1LG615696705674690670
M2HG127138137156152161
M2LG687827880860830824
M3HG107125113114115119
M3LG702843838908884850
M4HG788887879091
M4LG667872851771713722
M5HG596661687173
M5LG651726725910866879
M6HG414848505052
M7HG293131333435
M7LG349414409400392396
M8HG164.9126118167170191
M9HG77.1848092119100
M10HG71.281779689105
M11HG31.83535353936
I1HG718771777930910925
I2HG349413410444468446
I3HG72.5706610189101
Table 4. NEdT performance in K for J4 VIIRS compared with previous VIIRS builds. The values presented are band-averaged for the primary electronic side and the chosen (at launch) CFPA set point.
Table 4. NEdT performance in K for J4 VIIRS compared with previous VIIRS builds. The values presented are band-averaged for the primary electronic side and the chosen (at launch) CFPA set point.
BandGainTtypSpecSNPPJ1J2J3J4
M12HG2700.3960.1300.1190.1500.1290.123
M13HG3000.1070.0440.0440.0470.0460.048
M13LG3800.4230.3400.2360.2310.2190.258
M14HG2700.0910.0610.0530.0550.0530.040
M15HG3000.070.0300.0270.0360.0270.029
M16AHG3000.0720.0380.0430.0380.0440.034
M16BHG3000.0720.0380.0440.0370.0430.032
I4HG2702.50.4100.3930.4000.3440.312
I5HG2101.50.4200.4230.4030.5020.427
Table 5. Saturation temperature in K for J4 VIIRS compared with previous VIIRS builds. The values presented are for the primary electronic side and the chosen (at launch) CFPA set point.
Table 5. Saturation temperature in K for J4 VIIRS compared with previous VIIRS builds. The values presented are for the primary electronic side and the chosen (at launch) CFPA set point.
BandGainTtypTmaxSNPPJ1J2J3J4
M12HG270353357359360361361
M13HG300343364363363366366
M14HG270336347348352363353
M15HG300343365357350360360
M16AHG300340368366356363357
M16BHG300340368367353364357
I4HG270353357357355360357
I5HG210340373369380381368
Table 6. VIIRS TEB ARD in (%) relative to sensor specification.
Table 6. VIIRS TEB ARD in (%) relative to sensor specification.
SensorI4I5M12M13M14M15M16AM16B
190Spec~~~~12.302.101.601.60
NPP 1.720.530.230.25
J1~~~~1.480.180.150.15
J2~~~~0.680.290.170.25
J3~~~~2.970.400.230.24
J4~~~~
230Spec~~7.005.702.400.600.600.60
NPP 1.83.430.180.080.030.04
J1~~0.341.500.150.050.000.01
J2~~7.602.950.110.070.080.04
J3~~2.630.800.340.040.060.09
J4~~2.592.950.180.10.10.09
267Spec5.002.50~~~~~~
NPP0.580.05
J10.450.02~~~~~~
J20.480.10~~~~~~
J30.690.06~~~~~~
J40.430.08~~~~~~
270Spec~~0.700.700.600.400.400.40
NPP 0.330.450.040.050.020.02
J1~~0.210.310.100.080.020.03
J2~~0.240.150.080.050.040.04
J3~~0.420.480.180.080.060.08
J4~~0.240.300.140.070.020.03
310Spec~~0.700.700.400.400.400.40
NPP 0.310.380.090.020.020.03
J1~~0.310.350.160.090.050.05
J2~~0.250.170.110.060.030.04
J3~~0.480.350.270.120.080.09
J4~~0.310.210.200.070.040.06
340Spec~~0.700.700.500.400.400.40
NPP 0.310.390.060.040.020.01
J1~~0.300.390.170.080.020.04
J2~~0.270.180.090.050.030.03
J3~~0.400.310.260.110.100.10
J4~~0.210.240.180.080.050.06
Table 7. J4 V2 at-launch RSR metrics compared with the specification. Red fields indicate non-compliance.
Table 7. J4 V2 at-launch RSR metrics compared with the specification. Red fields indicate non-compliance.
BandCenter Wavelength (nm)Bandwidth (nm)1 % Limits (nm)IOOB (%)
MeasSpecMeas.SpecMeas.SpecMeas.Spec
CenterToleranceBandwidthToleranceLower LimitUpper LimitLower LimitUpper Limit
I1641.1640679.2806594.4687.75657150.110.5
I2867.8865838.5395835.8897.88029280.190.7
I31612.516101463.46091547.81687.6150917090.370.7
I43754.0374040379.7380303485.14031.5334041400.170.5
I511,527.511,4501251838.4190010010,438.312,732.5990012,9000.090.4
M1410.2412221.3202397.3423.73764440.131.0
M2444.9445317.0182434.4456.54174730.181.0
M3488.2488420.1203475.9501.24555210.160.7
M4555.4555421.2203541.9568.85235890.190.7
M5671.3672520.7203651.3693.66387060.440.7
M6747.0746214.8152736.1758.27217710.250.8
M7868.1865838.5395836.0898.08019290.230.7
M81241.11240520.52041225.31255.8120512750.190.8
M91381.91378415.11531368.91398.0135114050.341.0
M101612.916101463.96091548.11688.3150917090.370.7
M112252.922501347.95062207.82295.6216723330.281.0
M123685.6370032192.4180203527.33868.7341039900.311.1
M134024.7405034155.0155203870.34179.2379043100.351.3
M148564.7855070345.9300408233.08904.2805090500.350.9
M1510,666.510,763113951.6100010010,019.011,346.3970011,7400.180.4
M16A11,934.912,01388964.59505011,277.112,673.511,06013,0500.190.4
M16B11,935.912,01388963.79505011,278.612,672.111,06013,0500.190.4
DNBMGS697.270014397.540020490.4920.74709600.020.1
DNBLGS692.670014396.940020484.5923.34709600.100.1
Table 8. Summary of the J4 VIIRS stray light performance and the ratio of measured stray light to requirement. Comparison with previous VIIRS builds is also shown in the table. Eearth is the Earth’s irradiance and has units of watts per meter squared ( W · m 2 ). Ltyp is the typical radiance and has units of watts per meter squared per steradian per micrometer ( W · m 2 · s r 1 · μ m 1 ).
Table 8. Summary of the J4 VIIRS stray light performance and the ratio of measured stray light to requirement. Comparison with previous VIIRS builds is also shown in the table. Eearth is the Earth’s irradiance and has units of watts per meter squared ( W · m 2 ). Ltyp is the typical radiance and has units of watts per meter squared per steradian per micrometer ( W · m 2 · s r 1 · μ m 1 ).
BandEEarthLtypSNPPJPSS-1JPSS-2JPSS-3JPSS-4
dnL/SpecdnL/SpecdnL/SpecdnL/SpecdnL/Spec
M11444.1044.902.580.152.420.312.230.284.150.454.170.45
M21526.1040.002.530.272.680.301.830.202.650.293.100.35
M31563.5032.002.560.292.890.361.840.192.200.222.680.29
M41510.7021.002.390.322.960.391.580.202.100.252.490.32
M51265.7010.002.380.472.570.551.430.311.380.272.320.50
M61088.909.603.620.452.950.412.250.322.610.343.270.45
M7833.206.404.060.593.290.523.190.504.090.603.950.62
M8353.005.400.770.530.440.240.490.370.540.470.280.26
M9262.906.000.920.380.360.150.590.330.570.240.330.16
M10165.707.301.300.360.220.060.280.100.300.110.160.06
M1156.401.000.423.770.090.080.150.130.130.110.110.11
I11341.3022.000.260.260.310.330.320.330.490.510.370.40
I2833.2025.000.390.150.310.150.360.160.480.230.440.20
I3165.707.300.790.250.240.060.270.090.240.090.170.06
Table 9. NFR performance relative to sensor specifications for all builds against the J4 specification. L expressed in W/m2 sr μm.
Table 9. NFR performance relative to sensor specifications for all builds against the J4 specification. L expressed in W/m2 sr μm.
BandCenter WavelengthAngular Separation (mrad)LbrightLspecSNPP LscatJ1 LscatJ2 LscatJ3 LscatJ4 Lscat
M141261623.83 × 10−31.08 × 10−31.73 × 10−31.30 × 10−34.60 × 10−43.26 × 10−4
M244561802.86 × 10−39.99 × 10−41.66 × 10−31.32 × 10−36.29 × 10−42.32 × 10−4
M348861603.33 × 10−31.00 × 10−31.20 × 10−31.43 × 10−35.33 × 10−43.06 × 10−4
M455561602.25 × 10−36.16 × 10−41.08 × 10−31.24 × 10−33.83 × 10−41.01 × 10−4
M567261159.52 × 10−45.48 × 10−46.40 × 10−46.38 × 10−41.81 × 10−43.90 × 10−5
M6746121471.40 × 10−31.57 × 10−41.40 × 10−42.80 × 10−45.60E-051.68 × 10−5
M786561245.44 × 10−44.64 × 10−45.50 × 10−43.37 × 10−43.10 × 10−41.52 × 10−5
M812406571.05 × 10−35.87 × 10−43.20 × 10−45.99 × 10−42.84 × 10−43.99 × 10−5
M91378NANANANANANANANA
M101610686.19.26 × 10−46.44 × 10−43.91 × 10−48.70 × 10−43.80 × 10−43.06 × 10−5
M11225061.21.11 × 10−34.20 × 10−43.80 × 10−65.22 × 10−44.00 × 10−40.00
M12370030.32.09 × 10−31.07 × 10−34.16 × 10−41.30 × 10−34.81 × 10−42.09 × 10−6
M13405031.73.42 × 10−31.17 × 10−31.48 × 10−31.68 × 10−35.47 × 10−40.00
M148550NANANANANANANANA
M1510,763312.53.43 × 10−39.69 × 10−44.42 × 10−31.06 × 10−31.89 × 10−36.86 × 10−6
M1612,013311.33.85 × 10−39.98 × 10−45.01 × 10−31.85 × 10−32.31 × 10−33.85 × 10−6
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Angal, A.; Moyer, D.; Xiong, X.; Link, D.; Schwarting, T.; McIntire, J.; Ji, Q.; Sun, C. JPSS-4 VIIRS Pre-Launch Calibration Performance and Assessment. Remote Sens. 2025, 17, 2146. https://doi.org/10.3390/rs17132146

AMA Style

Angal A, Moyer D, Xiong X, Link D, Schwarting T, McIntire J, Ji Q, Sun C. JPSS-4 VIIRS Pre-Launch Calibration Performance and Assessment. Remote Sensing. 2025; 17(13):2146. https://doi.org/10.3390/rs17132146

Chicago/Turabian Style

Angal, Amit, David Moyer, Xiaoxiong Xiong, Daniel Link, Thomas Schwarting, Jeff McIntire, Qiang Ji, and Chengbo Sun. 2025. "JPSS-4 VIIRS Pre-Launch Calibration Performance and Assessment" Remote Sensing 17, no. 13: 2146. https://doi.org/10.3390/rs17132146

APA Style

Angal, A., Moyer, D., Xiong, X., Link, D., Schwarting, T., McIntire, J., Ji, Q., & Sun, C. (2025). JPSS-4 VIIRS Pre-Launch Calibration Performance and Assessment. Remote Sensing, 17(13), 2146. https://doi.org/10.3390/rs17132146

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