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Relevant bibliographies by topics / Visible Infrared Imaging Radiometer Suite (VIIRS)

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Academic literature on the topic 'Visible Infrared Imaging Radiometer Suite (VIIRS)'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Visible Infrared Imaging Radiometer Suite (VIIRS)"

1

Yang, Wenze, Felix Kogan, and Wei Guo. "An Ongoing Blended Long-Term Vegetation Health Product for Monitoring Global Food Security." Agronomy 10, no. 12 (2020): 1936. http://dx.doi.org/10.3390/agronomy10121936.

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Remotely observing global vegetation from space has endured for nearly 50 years. Many datasets have been developed to monitor vegetation status. Tailored to specifically monitor global food security concerning drought and crop yield, a suite of datasets based on vegetation health concepts and Advanced Very High Resolution Radiometer (AVHRR) observation was developed in the 1980s and utilized throughout the world. Nowadays, satellites based imaging radiometers have evolved into the Visible Infrared Imaging Radiometer Suite (VIIRS) era. With proper algorithm development, the blended version of t

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Minnett, Peter J., Katherine A. Kilpatrick, Guillermo P. Podestá, et al. "Skin Sea-Surface Temperature from VIIRS on Suomi-NPP—NASA Continuity Retrievals." Remote Sensing 12, no. 20 (2020): 3369. http://dx.doi.org/10.3390/rs12203369.

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Retrievals of skin Sea-Surface Temperature (SSTskin) from the measurements of the Visible Infrared Imaging Radiometer Suite on the Suomi-National Polar-orbiting Partnership satellite are presented and discussed. The algorithms used to derive the SSTskin from the radiometric measurements are given in detail. A number of approaches to assess the accuracy and stability of the Visible Infrared Imaging Radiometer Suite (VIIRS) SSTskin retrievals are reported, and factors including latitude and season, and physical processes in the atmosphere and at the surface are discussed. We conclude that the Su

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Gu, Yalong, Slawomir Blonski, Wenhui Wang, et al. "Improved NOAA-20 Visible Infrared Imaging Radiometer Suite Day/Night Band Image Quality by Upgraded Gain Calibration." Remote Sensing 13, no. 13 (2021): 2509. http://dx.doi.org/10.3390/rs13132509.

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Due to complex radiometric calibration, the imagery collected by the Day/Night Band (DNB) of the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Suomi National Polar Partnership (Suomi-NPP) and the NOAA-20 follow-on satellite is subject to artifacts such as striping, which eventually affect Earth remote sensing applications. Through comprehensive analysis using the NOAA-20 VIIRS DNB prelaunch-test and on-orbit data, it is revealed that the striping results from flaws in the calibration process. In particular, a discrepancy between the low-gain stage (LGS) Earth view (EV) gain and

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Dworak, Richard, Yinghui Liu, Jeffrey Key, and Walter N. Meier. "A Blended Sea Ice Concentration Product from AMSR2 and VIIRS." Remote Sensing 13, no. 15 (2021): 2982. http://dx.doi.org/10.3390/rs13152982.

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An effective blended Sea-Ice Concentration (SIC) product has been developed that utilizes ice concentrations from passive microwave and visible/infrared satellite instruments, specifically the Advanced Microwave Scanning Radiometer-2 (AMSR2) and the Visible Infrared Imaging Radiometer Suite (VIIRS). The blending takes advantage of the all-sky capability of the AMSR2 sensor and the high spatial resolution of VIIRS, though it utilizes only the clear sky characteristics of VIIRS. After both VIIRS and AMSR2 images are remapped to a 1 km EASE-Grid version 2, a Best Linear Unbiased Estimator (BLUE)

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Seaman, Curtis J., and Steven D. Miller. "VIIRS Captures Aurora Motions." Bulletin of the American Meteorological Society 94, no. 10 (2013): 1491–93. http://dx.doi.org/10.1175/bams-d-12-00221.1.

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It has been found that the day/night band of the Visible Infrared Imaging Radiometer Suite is capable of observing rapid motions of the aurora. The images that led to this discovery are shown. Shifts in the apparent position of the aurora boundary between consecutive scans of the instrument, which occur ~1.79 s apart, allow the cross-track relative speed of the aurora to be calculated. The physical basis for these observations and the method for determining the speed of auroral motions are discussed. These new satellite observations compare favorably with ground-based measurements presented in

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Pan, Wenbin, Hongming Fu, and Peng Zheng. "Regional Poverty and Inequality in the Xiamen-Zhangzhou-Quanzhou City Cluster in China Based on NPP/VIIRS Night-Time Light Imagery." Sustainability 12, no. 6 (2020): 2547. http://dx.doi.org/10.3390/su12062547.

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Poverty and inequality remain outstanding challenges in many global regions. Understanding the underlying social and economic conditions is important in formulating poverty eradication strategies. Using Visible Infrared Imaging Radiometer Suite (VIIRS) Night-Time Light (NTL) images and multidimensional socioeconomic data between 2012 and 2018, this study measured regional poverty and inequality in the Xiamen-Zhangzhou-Quanzhou city cluster in the People’s Republic of China. Principal Component Analysis (PCA) and the Theil index decomposition method were used to establish an Integrated Poverty

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Riggs, George A., Dorothy K. Hall, and Miguel O. Román. "Overview of NASA's MODIS and Visible Infrared Imaging Radiometer Suite (VIIRS) snow-cover Earth System Data Records." Earth System Science Data 9, no. 2 (2017): 765–77. http://dx.doi.org/10.5194/essd-9-765-2017.

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Abstract. Knowledge of the distribution, extent, duration and timing of snowmelt is critical for characterizing the Earth's climate system and its changes. As a result, snow cover is one of the Global Climate Observing System (GCOS) essential climate variables (ECVs). Consistent, long-term datasets of snow cover are needed to study interannual variability and snow climatology. The NASA snow-cover datasets generated from the Moderate Resolution Imaging Spectroradiometer (MODIS) on the Terra and Aqua spacecraft and the Suomi National Polar-orbiting Partnership (S-NPP) Visible Infrared Imaging Ra

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Borbas, E. Eva, Elisabeth Weisz, Chris Moeller, W. Paul Menzel, and Bryan A. Baum. "Improvement in tropospheric moisture retrievals from VIIRS through the use of infrared absorption bands constructed from VIIRS and CrIS data fusion." Atmospheric Measurement Techniques 14, no. 2 (2021): 1191–203. http://dx.doi.org/10.5194/amt-14-1191-2021.

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Abstract. An operational data product available for both the Suomi National Polar-orbiting Partnership (S-NPP) and National Oceanic and Atmospheric Administration-20 (NOAA-20) platforms provides high-spatial-resolution infrared (IR) absorption band radiances for Visible Infrared Imaging Radiometer Suite (VIIRS) based on a VIIRS and Crosstrack Infrared Sounder (CrIS) data fusion method. This study investigates the use of these IR radiances, centered at 4.5, 6.7, 7.3, 9.7, 13.3, 13.6, 13.9, and 14.2 µm, to construct atmospheric moisture products (e.g., total precipitable water and upper troposph

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Hillger, Donald, Thomas Kopp, Thomas Lee, et al. "First-Light Imagery from Suomi NPP VIIRS." Bulletin of the American Meteorological Society 94, no. 7 (2013): 1019–29. http://dx.doi.org/10.1175/bams-d-12-00097.1.

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The Suomi National Polar-Orbiting Partnership (NPP) satellite was launched on 28 October 2011, heralding the next generation of operational U.S. polar-orbiting satellites. It carries the Visible– Infrared Imaging Radiometer Suite (VIIRS), a 22-band visible/infrared sensor that combines many of the best aspects of the NOAA Advanced Very High Resolution Radiometer (AVHRR), the Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS), and the National Aeronautics and Space Administration (NASA) Moderate Resolution Imaging Spectroradiometer (MODIS) sensors. VIIRS has nearl

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Piper, M., and T. Bahr. "A Rapid Cloud Mask Algorithm for Suomi NPP VIIRS Imagery EDRs." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7/W3 (April 28, 2015): 237–42. http://dx.doi.org/10.5194/isprsarchives-xl-7-w3-237-2015.

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Suomi National Polar-orbiting Partnership (NPP) is the first of a new generation of NASA's Earth-observing research satellites. The Suomi NPP Visible Infrared Imaging Radiometer Suite (VIIRS) collects visible and infrared views of Earth's dynamic surface processes. This NPP mission produces a series of Environmental Data Records (EDRs). As accurate information on cloud occurrence is of utmost importance for a wide range of remote-sensing applications and analyses, we developed a cloud mask algorithm, adapted from the Landsat 7 Automatic Cloud Cover Assessment, for use with the VIIRS Imagery ED

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Dissertations / Theses on the topic "Visible Infrared Imaging Radiometer Suite (VIIRS)"

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Roudini, Sepehr. "Detecting nighttime fire combustion phase by hybrid application of visible and infrared radiation from Suomi NPP VIIRS." Thesis, University of Iowa, 2019. https://ir.uiowa.edu/etd/7022.

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An accurate estimation of biomass burning emissions is in part limited by the lack of knowledge of fire burning phase (smoldering/flaming). In recent years, several fire detection products have been developed to provide information of fire radiative power (FRP), location, size, and temperature of fire pixels, but no information regarding fire burning phase is retrieved. The Day-Night band (DNB) aboard Visible Infrared Imaging Radiometer Suite (VIIRS) is sensitive to visible light from flaming fires in the night. In contrast, VIIRS 4 µm moderate resolution band #13 (M13), though capable to dete

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Books on the topic "Visible Infrared Imaging Radiometer Suite (VIIRS)"

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P, Cracknell Arthur, ed. Visible infrared imager radiometer suite. Taylor & Francis, 2005.

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Book chapters on the topic "Visible Infrared Imaging Radiometer Suite (VIIRS)"

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Hutchison, Keith D., and Arthur P. Cracknell. "VIIRS Imagery Design Analysis." In Visible Infrared Imager Radiometer Suite. CRC Press, 2016. http://dx.doi.org/10.1201/9781420023398-3.

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Hutchison, Keith D., and Arthur P. Cracknell. "VIIRS Imagery Requirements Analysis." In Visible Infrared Imager Radiometer Suite. CRC Press, 2016. http://dx.doi.org/10.1201/9781420023398-4.

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"VIIRS Imagery Design Analysis." In Visible Infrared Imager Radiometer Suite. CRC Press, 2005. http://dx.doi.org/10.1201/9781420023398.ch3.

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"VIIRS Imagery Requirements Analysis." In Visible Infrared Imager Radiometer Suite. CRC Press, 2005. http://dx.doi.org/10.1201/9781420023398.ch4.

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Conference papers on the topic "Visible Infrared Imaging Radiometer Suite (VIIRS)"

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Johnson, Eric, Karen Galang, Courtney Ranshaw, and Brendan Robinson. "NPP Visible/Infrared Imaging Radiometer Suite (VIIRS) radiometric calibration emissive bands: tested performance." In SPIE Optical Engineering + Applications, edited by Marija Strojnik and Gonzalo Paez. SPIE, 2010. http://dx.doi.org/10.1117/12.861577.

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Turpie, Kevin R., Robert E. Eplee, and Gerhard Meister. "Visible Infrared Imaging Radiometer Suite (VIIRS) and uncertainty in the ocean color calibration methodology." In SPIE Optical Engineering + Applications, edited by James J. Butler, Xiaoxiong (Jack) Xiong, and Xingfa Gu. SPIE, 2015. http://dx.doi.org/10.1117/12.2187586.

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Puschell, Jeffery J., Philip E. Ardanuy, and Carl F. Schueler. "System engineering of the visible infrared imaging radiometer suite (VIIRS): improvements in imaging radiometry enabled by innovation driven by requirements." In SPIE Optical Engineering + Applications, edited by Philip E. Ardanuy and Jeffery J. Puschell. SPIE, 2016. http://dx.doi.org/10.1117/12.2242302.

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Zhou, Lihang, Murty Divakarla, Xingpin Liu, et al. "Overview of cal val and environment data product performance derived from Visible Infrared Imaging Radiometer Suite (VIIRS)." In 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, 2017. http://dx.doi.org/10.1109/igarss.2017.8127195.

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Choi, Taeyoung, Changyong Cao, and Xi Shao. "NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) Day-Night Band Calibration Using the Scheduled Lunar Collections." In IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2020. http://dx.doi.org/10.1109/igarss39084.2020.9324148.

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De Luccia, F., D. Moyer, E. Johnson, et al. "Discovery and characterization of on-orbit degradation of the Visible Infrared Imaging Radiometer Suite (VIIRS) Rotating Telescope Assembly (RTA)." In SPIE Optical Engineering + Applications, edited by James J. Butler, Xiaoxiong Xiong, and Xingfa Gu. SPIE, 2012. http://dx.doi.org/10.1117/12.930544.

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Turpie, Kevin R., Robert E. Eplee, Gerhard Meister, and Bryan A. Franz. "Suomi-NPP visible infrared imaging radiometer suite (VIIRS) calibration uncertainty its effect on trends in the ocean color data record (Conference Presentation)." In Earth Observing Systems XXII, edited by James J. Butler, Xiaoxiong (Jack) Xiong, and Xingfa Gu. SPIE, 2017. http://dx.doi.org/10.1117/12.2274385.

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Choi, Taeyoung, Xi Shao, and Changyong Cao. "NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) on-Orbit Band-To-Band Registration Estimation for Reflective Solar Band (RSB) Using Scheduled Lunar Collections." In IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2019. http://dx.doi.org/10.1109/igarss.2019.8898019.

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Gu, Yalong, and Changyong Cao. "Influence of atmospheric turbulence on the visible infrared imaging radiometer suite (VIIRS) day/night band (DNB) low light calibration with ground based light source." In SPIE Optical Engineering + Applications, edited by James J. Butler, Xiaoxiong (Jack) Xiong, and Xingfa Gu. SPIE, 2016. http://dx.doi.org/10.1117/12.2236527.

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McCarthy, James K., Eric J. Jacobson, Timothy M. Kilduff, et al. "On the potential to enhance the spatial resolution of the day-night band (DNB) channel of the visible and infrared imaging radiometer suite (VIIRS) for the second joint polar satellite system (JPSS-2) and beyond." In SPIE Optical Engineering + Applications, edited by James J. Butler, Xiaoxiong (Jack) Xiong, and Xingfa Gu. SPIE, 2013. http://dx.doi.org/10.1117/12.2024407.

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