The NPOESS VIIRS Day/Night Visible Sensor

Lee, Thomas E.; Miller, Steven D.; Turk, F. Joseph; Schueler, Carl F.; Julian, Richard L.; Deyo, Steve; Dills, Patrick; Wang, Sherwood

doi:10.1175/bams-87-2-191

Cited by 177 publications

(100 citation statements)

References 13 publications

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“…Its FPA shares the same optical path with the Vis/NIR FPA but uses a unique detector technology. DNB measures Earth scenes in a large dynamic range, achieved by using four charge-coupled device (CCD) arrays in three gain stages, with 250 TDI samples in high gain, three TDI samples in middle gain, and no TDI in low gain [Lee et al, 2004;Miller et al, 2012]. The band maintains a nearly constant track (scan) direction spatial resolution of 764 m (773 m) over the entire 3000 km swath using an onboard aggregation scheme.…”

Section: Viirs Instrument Geometrymentioning

confidence: 99%

Suomi NPP VIIRS prelaunch and on‐orbit geometric calibration and characterization

et al. 2013

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[1] The Visible Infrared Imaging Radiometer Suite (VIIRS) sensor was launched 28 October 2011 on the Suomi National Polar-orbiting Partnership (SNPP) satellite. VIIRS has 22 spectral bands covering the spectrum between 0.412 μm and 12.01 μm, including 16 moderate resolution bands (M-bands) with a nominal spatial resolution of 750 m at nadir, five imaging resolution bands (I-bands) with a nominal spatial resolution of 375 m at nadir, and a day-night band (DNB) with a near-constant nominal 750 m spatial resolution throughout the scan. These bands are located in a visible and near-infrared focal plane assembly (FPA), a shortwave and midwave infrared FPA, and a long-wave infrared FPA. All bands, except the DNB, are coregistered for proper environmental data records retrievals. Observations from VIIRS instrument provide long-term measurements of biogeophysical variables for climate research and polar satellite data stream for the operational community's use in weather forecasting and disaster relief and other applications. Well Earth-located (geolocated) instrument data are important to retrieving accurate biogeophysical variables. This paper describes prelaunch pointing and alignment measurements, and the two sets of on-orbit correction of geolocation errors, the first of which corrected error from 1300 m to within 75 m (20% I-band pixel size) and the second of which fine-tuned scan-angle dependent errors, bringing VIIRS geolocation products to high maturity in one and a half years of the SNPP VIIRS on-orbit operations. Prelaunch calibration and the on-orbit characterization of sensor spatial impulse responses and band-to-band coregistration are also described.

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Section: Viirs Instrument Geometrymentioning

confidence: 99%

Suomi NPP VIIRS prelaunch and on‐orbit geometric calibration and characterization

et al. 2013

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“…VIIRS is one of the five instruments (others are the Advanced Technology Microwave Sounder [32], the Cross-Track Infrared Sounder [33], the Ozone Mapping Profiler Suite [34,35], and the Clouds and the Earth's Radiant Energy System [36,37]) on the satellite, and is configured to collect visible and infrared imagery and radiometric measurements of the land, atmosphere, cryosphere, and oceans [38][39][40].The first global NPP-VIIRS nighttime light data were generated by the Earth Observation Group, NOAA National Geophysical Data Center. VIIRS day/night band data collected on nights with zero moonlight during 18-26 April 2012 and 11-23 October 2012 was composited into a single dataset [31,[41][42][43][44].…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Ability of NPP-VIIRS Nighttime Light Data to Estimate the Gross Domestic Product and the Electric Power Consumption of China at Multiple Scales: A Comparison with DMSP-OLS Data

et al. 2014

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Abstract:The nighttime light data records artificial light on the Earth's surface and can be used to estimate the spatial distribution of the gross domestic product (GDP) and the electric power consumption (EPC). In early 2013, the first global NPP-VIIRS nighttime light data were released by the Earth Observation Group of National Oceanic and Atmospheric Administration's National Geophysical Data Center (NOAA/NGDC). As new-generation data, NPP-VIIRS data have a higher spatial resolution and a wider radiometric detection range than the traditional DMSP-OLS nighttime light data. This study aims to investigate the potential of NPP-VIIRS data in modeling GDP and EPC at multiple scales through a case study of China. A series of preprocessing procedures are proposed to reduce the background noise of original data and to generate corrected NPP-VIIRS nighttime light images. Subsequently, linear regression is used to fit the correlation between the total nighttime light (TNL) (which is extracted from corrected NPP-VIIRS data and DMSP-OLS data) and the OPEN ACCESSRemote Sens. 2014, 6 1706 GDP and EPC (which is from the country's statistical data) at provincial-and prefectural-level divisions of mainland China. The result of the linear regression shows that R 2 values of TNL from NPP-VIIRS with GDP and EPC at multiple scales are all higher than those from DMSP-OLS data. This study reveals that the NPP-VIIRS data can be a powerful tool for modeling socioeconomic indicators; such as GDP and EPC.

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“…On geosynchronous platforms, 3.9-m channels are available on the new Geostationary Operational Environmental Satellite (GOES) Imager and the Meteosat Second-Generation (MSG) Spinning Enhanced Visible and Infrared Imager (SEVIRI; Aminou 2002). Future operational imagers will continue to fly similar channels for weather and climate applications, including the Visible-Infrared Imager-Radiometer Suite (VI-IRS) on the National Polar-orbiting Operational Environmental Satellite System (NPOESS) and the National Aeronautics and Space Administration (NASA) NPOESS Preparatory Project (NPP; Lee et al 2006), AVHRR/3 on the European Space Agency MetOp platforms, and the GOES-R Advanced Baseline Imager (ABI; Schmit et al 2005). Similar channels have also been included on aircraft imagers (e.g., the MODIS Airborne Simulator flown on NASA's highaltitude ER-2 aircraft; King et al 1996).…”

Section: Introductionmentioning

confidence: 99%

Model Calculations of Solar Spectral Irradiance in the 3.7-μm Band for Earth Remote Sensing Applications

Platnick

Fontenla

2008

Journal of Applied Meteorology and Climatology

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Since the launch of the first Advanced Very High Resolution Radiometer (AVHRR) instrument aboard the Television and Infrared Observational Satellite (TIROS-N), measurements in the 3.7-m atmospheric window have been exploited for use in cloud detection and screening, cloud thermodynamic phase and surface snow/ice discrimination, and quantitative cloud particle size retrievals. The utility of the band has led to the incorporation of similar channels on a number of existing satellite imagers and future operational imagers. Daytime observations in the band include both reflected solar and thermal emission energy. Since 3.7-m channels are calibrated to a radiance scale (via onboard blackbodies), knowledge of the top-ofatmosphere solar irradiance in the spectral region is required to infer reflectance. Despite the ubiquity of 3.7-m channels, absolute solar spectral irradiance data come from either a single measurement campaign (Thekaekara et al.) or synthetic spectra. In the current study, the historical 3.7-m band spectral irradiance datasets are compared with the recent semiempirical solar model of the quiet sun by Fontenla et al. The model has expected uncertainties of about 2% in the 3.7-m spectral region. The channel-averaged spectral irradiances using the observations reported by Thekaekara et al. are found to be 3.2%-4.1% greater than those derived from the Fontenla et al. model for Moderate Resolution Imaging Spectroradiometer (MO-DIS) and AVHRR instrument bandpasses; the Kurucz spectrum, as included in the Moderate Spectral Resolution Atmospheric Transmittance (MODTRAN4) distribution, gives channel-averaged irradiances 1.2%-1.5% smaller than the Fontenla model. For the MODIS instrument, these solar irradiance uncertainties result in cloud microphysical retrieval uncertainties that are comparable to other fundamental reflectance error sources.

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The NPOESS VIIRS Day/Night Visible Sensor

Abstract: The VIIRS sensor on the upcoming NPOESS satellites will have an improved day/night visible channel to image the earth and atmosphere at all levels of illumination.

Cited by 177 publications

References 13 publications

Suomi NPP VIIRS prelaunch and on‐orbit geometric calibration and characterization

Suomi NPP VIIRS prelaunch and on‐orbit geometric calibration and characterization

Evaluating the Ability of NPP-VIIRS Nighttime Light Data to Estimate the Gross Domestic Product and the Electric Power Consumption of China at Multiple Scales: A Comparison with DMSP-OLS Data

Model Calculations of Solar Spectral Irradiance in the 3.7-μm Band for Earth Remote Sensing Applications

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