Articles | Volume 6, issue 5
https://doi.org/10.5194/amt-6-1245-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-6-1245-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
14 May 2013
Research article |
| 14 May 2013
Preliminary investigations toward nighttime aerosol optical depth retrievals from the VIIRS Day/Night Band
R. S. Johnson
Department of Atmospheric Sciences, University of North Dakota, Grand Forks, ND, USA
Department of Atmospheric Sciences, University of North Dakota, Grand Forks, ND, USA
E. J. Hyer
Marine Meteorology Division, Naval Research Laboratory, Monterey, CA, USA
S. D. Miller
Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO, USA
J. S. Reid
Marine Meteorology Division, Naval Research Laboratory, Monterey, CA, USA
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- An Analysis of Environmental Effect on VIIRS Nighttime Light Monthly Composite Data at Multiple Scales in China M. Yuan et al. https://doi.org/10.1109/JSTARS.2022.3231960
- Characterizing urban infrastructural transitions for the Sustainable Development Goals using multi-temporal land, population, and nighttime light data E. Stokes & K. Seto https://doi.org/10.1016/j.rse.2019.111430
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- The Width of Aerosol Size Distribution: A Nonnegligible Factor in the Hyperspectral Infrared Radiative Transfer Simulations and Aerosol Remote Sensing J. Zhao et al. https://doi.org/10.1109/TGRS.2026.3657817
- AOD Derivation from SDGSAT-1/GLI Dataset in Mega-City Area N. Wang et al. https://doi.org/10.3390/rs15051343
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- Estimating Nighttime PM2.5 Concentration in Beijing Based on NPP/VIIRS Day/Night Band J. Deng et al. https://doi.org/10.3390/rs15020349
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- An improved method for retrieving nighttime aerosol optical thickness from the VIIRS Day/Night Band T. McHardy et al. https://doi.org/10.5194/amt-8-4773-2015
- A Case for a New Satellite Mission for Remote Sensing of Night Lights J. Barentine et al. https://doi.org/10.3390/rs13122294
- Optical Properties of Boundary Layer Aerosols From High Spectral Resolution Lidar Measurements in a Polluted Urban Environment (Seoul, Korea) S. Park et al. https://doi.org/10.1029/2023JD038523
- Mapping nighttime PM2.5 from VIIRS DNB using a linear mixed-effect model D. Fu et al. https://doi.org/10.1016/j.atmosenv.2018.02.001
- Diffuse light around cities: New perspectives in satellite remote sensing of nighttime aerosols M. Kocifaj & S. Bará https://doi.org/10.1016/j.atmosres.2021.105969
- Urban nighttime aerosol optical depth retrieval methods from SDGSAT-1 glimmer data Y. Jiang et al. https://doi.org/10.1080/17538947.2024.2411822
- NASA's Black Marble nighttime lights product suite M. Román et al. https://doi.org/10.1016/j.rse.2018.03.017
- Night-Time Ground Hyperspectral Imaging for Urban-Scale Remote Sensing of Ambient PM—Modal Concentrations Retrieval Y. Etzion et al. https://doi.org/10.1021/es403843t
- Retrieving nighttime aerosol optical depth using combined measurements of satellite low light channels and ground-based integrating spheres H. Li et al. https://doi.org/10.1080/01431161.2022.2118003
- Monitoring the NOAA Operational VIIRS RSB and DNB Calibration Stability Using Monthly and Semi-Monthly Deep Convective Clouds Time Series W. Wang & C. Cao https://doi.org/10.3390/rs8010032
- An Object Similarity-Based Thresholding Method for Urban Area Mapping from Visible Infrared Imaging Radiometer Suite Day/Night Band (VIIRS DNB) Data W. Ma & P. Li https://doi.org/10.3390/rs10020263
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- Rapid Assessment of a Typhoon Disaster Based on NPP-VIIRS DNB Daily Data: The Case of an Urban Agglomeration along Western Taiwan Straits, China Y. Zheng et al. https://doi.org/10.3390/rs11141709
- Global mapping of urban built-up areas of year 2014 by combining MODIS multispectral data with VIIRS nighttime light data R. Sharma et al. https://doi.org/10.1080/17538947.2016.1168879
- Exploring VIIRS Night Light Long-Term Time Series with CNN/SI for Urban Change Detection and Aerosol Monitoring C. Cao et al. https://doi.org/10.3390/rs14133126
- NPP-VIIRS DNB Daily Data in Natural Disaster Assessment: Evidence from Selected Case Studies X. Zhao et al. https://doi.org/10.3390/rs10101526
- First lunar-light mapping of nighttime dust season oceanic aerosol optical depth over North Atlantic from space M. Zhou et al. https://doi.org/10.1016/j.rse.2024.114315
- Assessment of satellite-based aerosol optical depth using continuous lidar observation C. Lin et al. https://doi.org/10.1016/j.atmosenv.2016.06.012
- Aerosol characterization using satellite remote sensing of light pollution sources at night M. Kocifaj & S. Bará https://doi.org/10.1093/mnrasl/slaa060
- Development of a nighttime shortwave radiative transfer model for remote sensing of nocturnal aerosols and fires from VIIRS J. Wang et al. https://doi.org/10.1016/j.rse.2020.111727
- Estimation of nighttime PM2.5 concentrations over Seoul using Suomi NPP/VIIRS Day/Night Band G. Choo et al. https://doi.org/10.1016/j.atmosenv.2024.120861
- Characterization and application of artificial light sources for nighttime aerosol optical depth retrievals using the Visible Infrared Imager Radiometer Suite Day/Night Band J. Zhang et al. https://doi.org/10.5194/amt-12-3209-2019
- The Terra Vega Active Light Source: A First Step in a New Approach to Perform Nighttime Absolute Radiometric Calibrations and Early Results Calibrating the VIIRS DNB R. Ryan et al. https://doi.org/10.3390/rs11060710
- Sensitivity studies of nighttime top-of-atmosphere radiances from artificial light sources using a 3-D radiative transfer model for nighttime aerosol retrievals J. Zhang et al. https://doi.org/10.5194/amt-16-2531-2023
- Estimation of All-Day Aerosol Optical Depth in the Beijing–Tianjin–Hebei Region Using Ground Air Quality Data W. Zhang et al. https://doi.org/10.3390/rs16081410
- Nighttime fog and low stratus detection under multi-scene and all lunar phase conditions using S-NPP/VIIRS visible and infrared channels J. Jiang et al. https://doi.org/10.1016/j.isprsjprs.2024.10.014
- Assessing the stability of surface lights for use in retrievals of nocturnal atmospheric parameters J. Solbrig et al. https://doi.org/10.5194/amt-13-165-2020
- Nighttime smoke aerosol optical depth over U.S. rural areas: First retrieval from VIIRS moonlight observations M. Zhou et al. https://doi.org/10.1016/j.rse.2021.112717
- Quantifying uncertainties in nighttime light retrievals from Suomi-NPP and NOAA-20 VIIRS Day/Night Band data Z. Wang et al. https://doi.org/10.1016/j.rse.2021.112557
- Calibration Method of Low-Light Sensor Based on Bridge Lights S. Ma et al. https://doi.org/10.1175/JTECH-D-15-0225.1
- Satellite-based assessment of electricity restoration efforts in Puerto Rico after Hurricane Maria M. Román et al. https://doi.org/10.1371/journal.pone.0218883
- Predicting spatiotemporal variations of PM2.5 concentrations during spring festival for county-level cities in China using VIIRS-DNB data N. Erkin et al. https://doi.org/10.1016/j.atmosenv.2022.119484
- Estimation of nighttime aerosol optical thickness from Suomi-NPP DNB observations over small cities in Korea G. Choo & M. Jeong https://doi.org/10.7780/kjrs.2016.32.2.1
- Angular distribution of upwelling artificial light in Europe as observed by Suomi–NPP satellite K. Tong et al. https://doi.org/10.1016/j.jqsrt.2020.107009
- Fast Calculation on Atmospheric Rayleigh Scattering Extinction Optical Depth for Day/Night Band Radiative Transfer Model With Periodic Lunar Illumination S. Liu et al. https://doi.org/10.1029/2023JD039491
59 citations as recorded by crossref.
- Assessing Electricity Supply Reliability by Detection of Anomalies in Daily Nighttime Light M. Chen et al. https://doi.org/10.1109/JSTARS.2024.3520168
- Potential of Using Night-Time Light to Proxy Social Indicators for Sustainable Development A. Andries et al. https://doi.org/10.3390/rs15051209
- Multiple Angle Observations Would Benefit Visible Band Remote Sensing Using Night Lights C. Kyba et al. https://doi.org/10.1029/2021JD036382
- Illuminating the Capabilities of the Suomi National Polar-Orbiting Partnership (NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band S. Miller et al. https://doi.org/10.3390/rs5126717
- Island Activities Detected by VIIRS and Validation with AIS I. Asanuma et al. https://doi.org/10.4236/ars.2018.73012
- Estimation and Analysis of the Nighttime PM2.5 Concentration Based on LJ1-01 Images: A Case Study in the Pearl River Delta Urban Agglomeration of China Y. Wang et al. https://doi.org/10.3390/rs13173405
- Modeling the direction and magnitude of angular effects in nighttime light remote sensing X. Tan et al. https://doi.org/10.1016/j.rse.2021.112834
- An Analysis of Environmental Effect on VIIRS Nighttime Light Monthly Composite Data at Multiple Scales in China M. Yuan et al. https://doi.org/10.1109/JSTARS.2022.3231960
- Characterizing urban infrastructural transitions for the Sustainable Development Goals using multi-temporal land, population, and nighttime light data E. Stokes & K. Seto https://doi.org/10.1016/j.rse.2019.111430
- Night-time monitoring of the aerosol content of the lower atmosphere by differential photometry of the anthropogenic skyglow M. Kocifaj & S. Bará https://doi.org/10.1093/mnrasl/slaa181
- The Width of Aerosol Size Distribution: A Nonnegligible Factor in the Hyperspectral Infrared Radiative Transfer Simulations and Aerosol Remote Sensing J. Zhao et al. https://doi.org/10.1109/TGRS.2026.3657817
- AOD Derivation from SDGSAT-1/GLI Dataset in Mega-City Area N. Wang et al. https://doi.org/10.3390/rs15051343
- Mapping nighttime PM2.5 concentrations in Nanjing, China based on NPP/VIIRS nighttime light data H. Chen et al. https://doi.org/10.1016/j.atmosenv.2023.119767
- Estimating Nighttime PM2.5 Concentration in Beijing Based on NPP/VIIRS Day/Night Band J. Deng et al. https://doi.org/10.3390/rs15020349
- Potential application of VIIRS Day/Night Band for monitoring nighttime surface PM 2.5 air quality from space J. Wang et al. https://doi.org/10.1016/j.atmosenv.2015.11.013
- Estimation and Analysis of PM2.5 Concentrations with NPP-VIIRS Nighttime Light Images: A Case Study in the Chang-Zhu-Tan Urban Agglomeration of China M. Wang et al. https://doi.org/10.3390/ijerph19074306
- Monitoring Aerosol Dynamics in the Beijing–Tianjin–Hebei Region: A High-Resolution, All-Day AOD Dataset from 2018 to 2023 J. Yang et al. https://doi.org/10.3390/atmos17020168
- Anisotropic characteristic of artificial light at night – Systematic investigation with VIIRS DNB multi-temporal observations X. Li et al. https://doi.org/10.1016/j.rse.2019.111357
- Status and future of numerical atmospheric aerosol prediction with a focus on data requirements A. Benedetti et al. https://doi.org/10.5194/acp-18-10615-2018
- Retrieval of nighttime aerosol optical depth by simultaneous consideration of artificial and natural light sources Y. Meng et al. https://doi.org/10.1016/j.scitotenv.2023.166354
- A low-light radiative transfer model for satellite observations of moonlight and earth surface light at night M. Min et al. https://doi.org/10.1016/j.jqsrt.2020.106954
- Quantitative Analysis of Aerosol Influence on Suomi-NPP VIIRS Nighttime Light in China X. Wang et al. https://doi.org/10.1109/JSTARS.2020.3003480
- Towards gridded nighttime aerosol optical thickness retrievals using VIIRS day–night band observations over regions with artificial light sources J. Zhang et al. https://doi.org/10.5194/amt-18-1787-2025
- Can the Earth–Moon Distance Influence the Accuracy of Lunar Irradiance with the Plane-Parallel Assumption in Atmospheric Radiative Transfer at Night? M. Min et al. https://doi.org/10.1175/JAS-D-20-0198.1
- An improved method for retrieving nighttime aerosol optical thickness from the VIIRS Day/Night Band T. McHardy et al. https://doi.org/10.5194/amt-8-4773-2015
- A Case for a New Satellite Mission for Remote Sensing of Night Lights J. Barentine et al. https://doi.org/10.3390/rs13122294
- Optical Properties of Boundary Layer Aerosols From High Spectral Resolution Lidar Measurements in a Polluted Urban Environment (Seoul, Korea) S. Park et al. https://doi.org/10.1029/2023JD038523
- Mapping nighttime PM2.5 from VIIRS DNB using a linear mixed-effect model D. Fu et al. https://doi.org/10.1016/j.atmosenv.2018.02.001
- Diffuse light around cities: New perspectives in satellite remote sensing of nighttime aerosols M. Kocifaj & S. Bará https://doi.org/10.1016/j.atmosres.2021.105969
- Urban nighttime aerosol optical depth retrieval methods from SDGSAT-1 glimmer data Y. Jiang et al. https://doi.org/10.1080/17538947.2024.2411822
- NASA's Black Marble nighttime lights product suite M. Román et al. https://doi.org/10.1016/j.rse.2018.03.017
- Night-Time Ground Hyperspectral Imaging for Urban-Scale Remote Sensing of Ambient PM—Modal Concentrations Retrieval Y. Etzion et al. https://doi.org/10.1021/es403843t
- Retrieving nighttime aerosol optical depth using combined measurements of satellite low light channels and ground-based integrating spheres H. Li et al. https://doi.org/10.1080/01431161.2022.2118003
- Monitoring the NOAA Operational VIIRS RSB and DNB Calibration Stability Using Monthly and Semi-Monthly Deep Convective Clouds Time Series W. Wang & C. Cao https://doi.org/10.3390/rs8010032
- An Object Similarity-Based Thresholding Method for Urban Area Mapping from Visible Infrared Imaging Radiometer Suite Day/Night Band (VIIRS DNB) Data W. Ma & P. Li https://doi.org/10.3390/rs10020263
- Estimation of Ground-Level PM2.5 Concentration at Night in Beijing-Tianjin-Hebei Region with NPP/VIIRS Day/Night Band Y. Ma et al. https://doi.org/10.3390/rs15030825
- Rapid Assessment of a Typhoon Disaster Based on NPP-VIIRS DNB Daily Data: The Case of an Urban Agglomeration along Western Taiwan Straits, China Y. Zheng et al. https://doi.org/10.3390/rs11141709
- Global mapping of urban built-up areas of year 2014 by combining MODIS multispectral data with VIIRS nighttime light data R. Sharma et al. https://doi.org/10.1080/17538947.2016.1168879
- Exploring VIIRS Night Light Long-Term Time Series with CNN/SI for Urban Change Detection and Aerosol Monitoring C. Cao et al. https://doi.org/10.3390/rs14133126
- NPP-VIIRS DNB Daily Data in Natural Disaster Assessment: Evidence from Selected Case Studies X. Zhao et al. https://doi.org/10.3390/rs10101526
- First lunar-light mapping of nighttime dust season oceanic aerosol optical depth over North Atlantic from space M. Zhou et al. https://doi.org/10.1016/j.rse.2024.114315
- Assessment of satellite-based aerosol optical depth using continuous lidar observation C. Lin et al. https://doi.org/10.1016/j.atmosenv.2016.06.012
- Aerosol characterization using satellite remote sensing of light pollution sources at night M. Kocifaj & S. Bará https://doi.org/10.1093/mnrasl/slaa060
- Development of a nighttime shortwave radiative transfer model for remote sensing of nocturnal aerosols and fires from VIIRS J. Wang et al. https://doi.org/10.1016/j.rse.2020.111727
- Estimation of nighttime PM2.5 concentrations over Seoul using Suomi NPP/VIIRS Day/Night Band G. Choo et al. https://doi.org/10.1016/j.atmosenv.2024.120861
- Characterization and application of artificial light sources for nighttime aerosol optical depth retrievals using the Visible Infrared Imager Radiometer Suite Day/Night Band J. Zhang et al. https://doi.org/10.5194/amt-12-3209-2019
- The Terra Vega Active Light Source: A First Step in a New Approach to Perform Nighttime Absolute Radiometric Calibrations and Early Results Calibrating the VIIRS DNB R. Ryan et al. https://doi.org/10.3390/rs11060710
- Sensitivity studies of nighttime top-of-atmosphere radiances from artificial light sources using a 3-D radiative transfer model for nighttime aerosol retrievals J. Zhang et al. https://doi.org/10.5194/amt-16-2531-2023
- Estimation of All-Day Aerosol Optical Depth in the Beijing–Tianjin–Hebei Region Using Ground Air Quality Data W. Zhang et al. https://doi.org/10.3390/rs16081410
- Nighttime fog and low stratus detection under multi-scene and all lunar phase conditions using S-NPP/VIIRS visible and infrared channels J. Jiang et al. https://doi.org/10.1016/j.isprsjprs.2024.10.014
- Assessing the stability of surface lights for use in retrievals of nocturnal atmospheric parameters J. Solbrig et al. https://doi.org/10.5194/amt-13-165-2020
- Nighttime smoke aerosol optical depth over U.S. rural areas: First retrieval from VIIRS moonlight observations M. Zhou et al. https://doi.org/10.1016/j.rse.2021.112717
- Quantifying uncertainties in nighttime light retrievals from Suomi-NPP and NOAA-20 VIIRS Day/Night Band data Z. Wang et al. https://doi.org/10.1016/j.rse.2021.112557
- Calibration Method of Low-Light Sensor Based on Bridge Lights S. Ma et al. https://doi.org/10.1175/JTECH-D-15-0225.1
- Satellite-based assessment of electricity restoration efforts in Puerto Rico after Hurricane Maria M. Román et al. https://doi.org/10.1371/journal.pone.0218883
- Predicting spatiotemporal variations of PM2.5 concentrations during spring festival for county-level cities in China using VIIRS-DNB data N. Erkin et al. https://doi.org/10.1016/j.atmosenv.2022.119484
- Estimation of nighttime aerosol optical thickness from Suomi-NPP DNB observations over small cities in Korea G. Choo & M. Jeong https://doi.org/10.7780/kjrs.2016.32.2.1
- Angular distribution of upwelling artificial light in Europe as observed by Suomi–NPP satellite K. Tong et al. https://doi.org/10.1016/j.jqsrt.2020.107009
- Fast Calculation on Atmospheric Rayleigh Scattering Extinction Optical Depth for Day/Night Band Radiative Transfer Model With Periodic Lunar Illumination S. Liu et al. https://doi.org/10.1029/2023JD039491
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