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Author Elvidge, C.D.; Baugh, K.E.; Zhizhin, M.; Hsu, F.-C. url  doi
openurl 
  Title Why VIIRS data are superior to DMSP for mapping nighttime lights Type Journal Article
  Year 2013 Publication Proceedings of the Asia-Pacific Advanced Network Abbreviated Journal APAN Proceedings  
  Volume 35 Issue Pages 62  
  Keywords  
  Abstract For more than forty years the U.S. Air Force Defense Meteorological Satellite Program (DMSP) Operational Linescan System (OLS) has been the only satellite system collecting global low-light imaging data. A series of twenty-four DMSP satellites have collected low-light imaging data. The design of the OLS has not changed significantly since satellite F-4 flew in the late 1970’s and OLS data have relatively coarse spatial resolution, limited dynamic range, and lack in-flight calibration. In 2011 NASA and NOAA launched the Suomi National Polar Partnership (SNPP) satellite carrying the first Visible Infrared Imaging Radiometer Suite (VIIRS) instrument. The VIIRS collects low light imaging data and has several improvements over the OLS’ capabilities. In this paper we contrast the nighttime low light imaging collection capabilities of these two systems and compare their data products.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2227-3026 ISBN Medium  
  Area Expedition Conference  
  Notes (up) Approved no  
  Call Number IDA @ john @ Serial 198  
Permanent link to this record
 

 
Author Elvidge, C.; Zhizhin, M.; Hsu, F.-C.; Baugh, K. url  doi
openurl 
  Title VIIRS Nightfire: Satellite Pyrometry at Night Type Journal Article
  Year 2013 Publication Remote Sensing Abbreviated Journal Remote Sensing  
  Volume 5 Issue 9 Pages 4423-4449  
  Keywords SNPP; VIIRS; fire detection; gas flaring; biomass burning; fossil fuel carbon emissions  
  Abstract The Nightfire algorithm detects and characterizes sub-pixel hot sources using multispectral data collected globally, each night, by the Suomi National Polar Partnership (NPP) Visible Infrared Imaging Radiometer Suite (VIIRS). The spectral bands utilized span visible, near-infrared (NIR), short-wave infrared (SWIR), and mid-wave infrared (MWIR). The primary detection band is in the SWIR, centered at 1.6 μm. Without solar input, the SWIR spectral band records sensor noise, punctuated by high radiant emissions associated with gas flares, biomass burning, volcanoes, and industrial sites such as steel mills. Planck curve fitting of the hot source radiances yields temperature (K) and emission scaling factor (ESF). Additional calculations are done to estimate source size (m2), radiant heat intensity (W/m2), and radiant heat (MW). Use of the sensor noise limited M7, M8, and M10 spectral bands at night reduce scene background effects, which are widely reported for fire algorithms based on MWIR and long-wave infrared. High atmospheric transmissivity in the M10 spectral band reduces atmospheric effects on temperature and radiant heat retrievals. Nightfire retrieved temperature estimates for sub-pixel hot sources ranging from 600 to 6,000 K. An intercomparison study of biomass burning in Sumatra from June 2013 found Nightfire radiant heat (MW) to be highly correlated to Moderate Resolution Imaging Spectrometer (MODIS) Fire Radiative Power (MW).  
  Address Earth Observation Group, NOAA National Geophysical Data Center, Boulder, CO 80305, USA  
  Corporate Author Thesis  
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  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2072-4292 ISBN Medium  
  Area Expedition Conference  
  Notes (up) Approved no  
  Call Number IDA @ john @ Serial 199  
Permanent link to this record
 

 
Author Johnson, R.S.; Zhang, J.; Hyer, E.J.; Miller, S.D.; Reid, J.S. url  doi
openurl 
  Title Preliminary investigations toward nighttime aerosol optical depth retrievals from the VIIRS Day/Night Band Type Journal Article
  Year 2013 Publication Atmospheric Measurement Techniques Abbreviated Journal Atmos. Meas. Tech.  
  Volume 6 Issue 5 Pages 1245-1255  
  Keywords VIIRS; remote sensing; Suomi NPP; aerosol; optical depth; AERONET; light pollution; measurements  
  Abstract A great need exists for reliable nighttime aerosol products at high spatial and temporal resolution. In this concept demonstration study, using Visible/Infrared Imager/Radiometer Suite (VIIRS) Day/Night Band (DNB) observations on the Suomi National Polar-orbiting Partnership (NPP) satellite, a new method is proposed for retrieving nighttime aerosol optical depth (τ) using the contrast between regions with and without artificial surface lights. Evaluation of the retrieved τ values against daytime AERONET data from before and after the overpass of the VIIRS satellite over the Cape Verde, Grand Forks, and Alta Floresta AERONET stations yields a coefficient of determination (r2) of 0.71. This study suggests that the VIIRS DNB has the potential to provide useful nighttime aerosol detection and property retrievals.  
  Address Department of Atmospheric Sciences, University of North Dakota, Grand Forks, ND, USA  
  Corporate Author Thesis  
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  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1867-8548 ISBN Medium  
  Area Expedition Conference  
  Notes (up) Approved no  
  Call Number IDA @ john @ Serial 200  
Permanent link to this record
 

 
Author Li, X.; Xu, H.; Chen, X.; Li, C. url  doi
openurl 
  Title Potential of NPP-VIIRS Nighttime Light Imagery for Modeling the Regional Economy of China Type Journal Article
  Year 2013 Publication Remote Sensing Abbreviated Journal Remote Sensing  
  Volume 5 Issue 6 Pages 3057-3081  
  Keywords nighttime light; gross regional product; Visible Infrared Imaging Radiometer Suite; linear regression  
  Abstract Historically, the Defense Meteorological Satellite Program’s Operational Linescan System (DMSP-OLS) was the unique satellite sensor used to collect the nighttime light, which is an efficient means to map the global economic activities. Since it was launched in October 2011, the Visible Infrared Imaging Radiometer Suite (VIIRS) sensor on the Suomi National Polar-orbiting Partnership (NPP) Satellite has become a new satellite used to monitor nighttime light. This study performed the first evaluation on the NPP-VIIRS nighttime light imagery in modeling economy, analyzing 31 provincial regions and 393 county regions in China. For each region, the total nighttime light (TNL) and gross regional product (GRP) around the year of 2010 were derived, and a linear regression model was applied on the data. Through the regression, the TNL from NPP-VIIRS were found to exhibit R2 values of 0.8699 and 0.8544 with the provincial GRP and county GRP, respectively, which are significantly stronger than the relationship between the TNL from DMSP-OLS (F16 and F18 satellites) and GRP. Using the regression models, the GRP was predicted from the TNL for each region, and we found that the NPP-VIIRS data is more predictable for the GRP than those of the DMSP-OLS data. This study demonstrates that the recently released NPP-VIIRS nighttime light imagery has a stronger capacity in modeling regional economy than those of the DMSP-OLS data. These findings provide a foundation to model the global and regional economy with the recently availability of the NPP-VIIRS data, especially in the regions where economic census data is difficult to access.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2072-4292 ISBN Medium  
  Area Expedition Conference  
  Notes (up) Approved no  
  Call Number IDA @ john @ Serial 201  
Permanent link to this record
 

 
Author Tang, L.; Cheng, H.; Qu, G. url  doi
openurl 
  Title Estimating Provincial Economic Development Level of China Using DMSP/OLS Nighttime Light Satellite Imagery Type Journal Article
  Year 2013 Publication Advanced Materials Research Abbreviated Journal Amr  
  Volume 807-809 Issue Pages 1903-1908  
  Keywords Curve Fitting; DMSP/OLS Nighttime Light; Economic Development; Provincial Scale; Regression Analysis; *Economics  
  Abstract How to estimate regional economic development level is important for solving regional inequality problems. Most of previous studies on regional economic development are based on the statistics collected typically in administrative units. This paper has analyzed the defects of traditional studies, and attempted to research regional economic development problems with 10-year DMSP/OLS nighttime light satellite imagery as a new data source. For exploring the relationship between DMSP/OLS nighttime light data and GDP, different types of curve fitting regression models have been tried, the Cubic model has shown the best performance with a coefficient of determination (R2) equal to 0.803. Based on this positive correlation, we have estimated provincial economic development level of China using DMSP/OLS nighttime light data. The research results have indicated that the DMSP/OLS nighttime light data can well reveal provincial economic development levels.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1662-8985 ISBN Medium  
  Area Expedition Conference  
  Notes (up) Approved no  
  Call Number IDA @ john @ Serial 202  
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