Update on the performance of Suomi-NPP VIIRS lunar calibration

Wang, Zhipeng; Fulbright, Jon P.; Xiaoxiong,

doi:10.1117/12.2186794

Cited by 3 publications

(6 citation statements)

References 8 publications

(8 reference statements)

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“…The lunar irradiance retrieved by the sensor (I RET ) is computed by integrating the radiances from individual detectors over the lunar disk using their pre-launch calibration coefficients. Details of VIIRS lunar calibration methodologies are found in a number of references [14,[24][25][26][27].…”

Section: Lunar Calibration For the Rsbmentioning

confidence: 99%

Assessment of S-NPP VIIRS On-Orbit Radiometric Calibration and Performance

et al. 2016

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The VIIRS instrument on board the S-NPP spacecraft has successfully operated for more than four years since its launch in October 2011. Many VIIRS environmental data records (EDR) have been continuously generated from its sensor data records (SDR) with improved quality, enabling a wide range of applications in support of users in both the operational and research communities. This paper provides a brief review of sensor on-orbit calibration methodologies for both the reflective solar bands (RSB) and the thermal emissive bands (TEB) and an overall assessment of their on-orbit radiometric performance using measurements from instrument on-board calibrators (OBC), as well as regularly scheduled lunar observations. It describes and illustrates changes made and to be made for calibration and data quality improvements. Throughout the mission, all of the OBC have continued to operate and function normally, allowing critical calibration parameters used in the data production systems to be derived and updated. The temperatures of the on-board blackbody (BB) and the cold focal plane assemblies are controlled with excellent stability. Despite large optical throughput degradation discovered shortly after launch in several near-and short-wave infrared spectral bands and strong wavelength-dependent solar diffuser degradation, the VIIRS overall performance has continued to meet its design requirements. Also discussed in this paper are challenging issues identified and efforts to be made to further enhance the sensor calibration and characterization, thereby maintaining or improving data quality.

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Section: Lunar Calibration For the Rsbmentioning

confidence: 99%

Assessment of S-NPP VIIRS On-Orbit Radiometric Calibration and Performance

et al. 2016

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“…6 reveals that for a particular band the magnitude of the bumps increases with time and at the same time the magnitude decreases with larger band wavelengths. The second is that at large times for shorter wavelength bands such as M1 to M4, the F-factor determined from the SD observations are quite different from that determined from lunar observations 16,17 . The differences become larger as the time increases and at any given time are smaller for larger band wavelengths.…”

Section: Imapct Of the Dependence Of The Sd Brdf Degradation Factor Onmentioning

confidence: 71%

“…In Fig. 8(a) and (b), we compare the F-factors computed by (1) with the SD BRDF degradation factors computed with the mean SDSM detector RSR and adjusted by (22) with the ones through lunar observations 16,17 . The F-factors from the lunar observations are scaled so that the first reliable F-factors from the lunar observations (orbit 2235) match exactly the F-factors from the SD observations (adjusted by (22)).…”

Section: From Hsdsm To Hrtamentioning

confidence: 99%

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Impact of the angular dependence of the SNPP VIIRS solar diffuser BRDF degradation factor on the radiometric calibration of the reflective solar bands

Lei

Xiong

2015

Earth Observing Systems XX

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The Visible Infrared Imaging Radiometer Suite (VIIRS) aboard the Suomi National Polar-orbiting Partnership satellite performs radiometric calibration of its reflective solar bands (RSBs) primarily by observing an onboard solar diffuser (SD). The SD optical scattering property is measured by a bidirectional reflectance distribution function (BRDF). Once on orbit, the BRDF degrades over time and the degradation factor is determined by an onboard solar diffuser stability monitor (SDSM) which observes the Sun and the sunlit SD at almost the same time. We showed in a previous SPIE paper that the BRDF degradation factor is angle dependent. Consequently, due to that the SDSM and the VIIRS telescope SD views have very different angles, applying the BRDF degradation factor determined from the SDSM without any adjustments to the VIIRS RSB calibration can result in large systematic errors. In addition, the BRDF angular dependence impacts the determination of the SD screen transmittance viewed by both the SDSM detectors and the VIIRS telescope. We first use yaw maneuver data to determine the product of the SD attenuation screen transmittance and the BRDF at the initial time (when the BRDF just started to degrade) viewed by the VIIRS telescope, removing the impact of the SD BRDF degradation factor angular dependence over satellite orbits. By attributing the large bumps observed in the initially computed VIIRS detector gains for the M1-M4 bands to the angular dependence of the BRDF degradation factor and matching the computed VIIRS detector gains from the SD and the lunar observations, we find the relation between the BRDF degradation factors in the VIIRS telescope and SDSM SD view directions.

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“…A lunar calibration method for remote sensing satellite sensors using lunar spectral irradiance measurement of the ROLO model has been established by the USGS (U.S. Geological Survey), and has been successfully applied to the GMS-5 (Geostationary Meteorological Satellite) [27,28], GOES (Geostationary Operational Environmental Satellite) [29][30][31], Suomi-NPP [18,[32][33][34][35][36][37][38][39], SeaWIFS (The Sea-Viewing Wide Field-of-View Sensor) [40][41][42][43], and other instruments for on-orbit radiometric calibration and stability monitoring. Fujisada et al [28] calibrated the radiance of the GMS-5 remote sensing sensor based on pairs of GMS-5 lunar observation and ROLO images captured under the same observation conditions.…”

Section: Introductionmentioning

confidence: 99%

On-Orbit Radiance Calibration of Nighttime Sensor of LuoJia1-01 Satellite Based on Lunar Observations

Jiang

Shi

et al. 2019

Remote Sensing

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The high-resolution nighttime light (NTL) data of the LuoJia1-01 NTL remote sensing satellite has enriched the available data of NTL remote sensing applications. The radiance calibration used as a reference to convert the digital number (DN) recorded by the nighttime sensor into the radiance of the corresponding ground object is the basic premise to the effective application of the NTL data. Owing to the lack of on-board calibration equipment and the absence of an absolute radiometric calibration light source at night, it is difficult for LuoJia1-01 to carry out on-orbit radiance calibration. The moon, as an exoatmospheric stable radiation source, is widely used for the radiometric calibration of remote sensing satellite sensors and to monitor the stability of the visible and near-infrared sensors. This study, based on lunar observation of the LuoJia1-01 NTL sensor, focused on on-orbit radiometric calibration and included monitoring changes in the nighttime sensor radiometric response for nearly a year by using the Robotic Lunar Observatory (ROLO) lunar irradiance model (Version 311 g). The results showed that: (1) the consistency of the radiometric calibration results based on the ROLO model and the laboratory calibration results of LuoJia1-01 exceeded 90%; (2) the nighttime sensor of LuoJia1-01 radiometric response underwent approximately 6% degradation during the observation period of nearly one year (353 days).

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Update on the performance of Suomi-NPP VIIRS lunar calibration

Cited by 3 publications

References 8 publications

Assessment of S-NPP VIIRS On-Orbit Radiometric Calibration and Performance

Assessment of S-NPP VIIRS On-Orbit Radiometric Calibration and Performance

Impact of the angular dependence of the SNPP VIIRS solar diffuser BRDF degradation factor on the radiometric calibration of the reflective solar bands

On-Orbit Radiance Calibration of Nighttime Sensor of LuoJia1-01 Satellite Based on Lunar Observations

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