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Author Mills, S..
Title (down) VIIRS radiometric calibration algorithm theoretical basis document ATBD. D43777 Type Journal Article
Year 2014 Publication Goddard Space Flight Center Greenbelt, Maryland Abbreviated Journal
Volume Issue Pages
Keywords Remote Sensing
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Call Number LoNNe @ kagoburian @ Serial 959
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Author Chen, X.; Nordhaus, W.D.
Title (down) VIIRS Nighttime Lights in the Estimation of Cross-Sectional and Time-Series GDP Type Journal Article
Year 2019 Publication Remote Sensing Abbreviated Journal Remote Sensing
Volume 11 Issue 9 Pages 1057
Keywords Remote Sensing
Abstract This study extends previous applications of DMSP OLS nighttime lights data to examine the usefulness of newer VIIRS lights in the estimation of economic activity. Focusing on both US states and metropolitan statistical areas (MSAs), we found that the VIIRS lights are more useful in predicting cross-sectional GDP than predicting time-series GDP data. This result is similar to previous findings for DMSP OLS nighttime lights. Additionally, the present analysis shows that high-resolution VIIRS lights provide a better prediction for MSA GDP than for state GDP, which suggests that lights may be more closely related to urban sectors than rural sectors. The results also indicate the importance of considering biases that may arise from different aggregations (the modifiable areal unit problems, MAUP) in applications of nighttime lights in understanding socioeconomic phenomenon.
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ISSN 2072-4292 ISBN Medium
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Call Number GFZ @ kyba @ Serial 2495
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Author Earth Observation Group, and National Oceanic and Atmospheric Administration (NOAA)
Title (down) VIIRS Nighttime Lights – 2012, edited, National Geophysical Data Center Type Journal Article
Year 2013 Publication Abbreviated Journal
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Keywords Remote Sensing
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Call Number LoNNe @ kagoburian @ Serial 738
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Author Elvidge, C.; Zhizhin, M.; Hsu, F.-C.; Baugh, K.
Title (down) 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
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ISSN 2072-4292 ISBN Medium
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Call Number IDA @ john @ Serial 199
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Author Elvidge, C.D.; Baugh, K.; Zhizhin, M.; Hsu, F.C.; Ghosh, T.
Title (down) VIIRS night-time lights Type Journal Article
Year 2017 Publication International Journal of Remote Sensing Abbreviated Journal International Journal of Remote Sensing
Volume 38 Issue 21 Pages 5860-5879
Keywords Remote Sensing
Abstract The Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) collects global low-light imaging data that have significant improvements over comparable data collected for 40 years by the DMSP Operational Linescan System. One of the prominent features of DNB data is the detection of electric lighting present on the Earth’s surface. Most of these lights are from human settlements. VIIRS collects source data that could be used to generate monthly and annual science grade global radiance maps of human settlements with electric lighting. There are a substantial number of steps involved in producing a product that has been cleaned to exclude background noise, solar and lunar contamination, data degraded by cloud cover, and features unrelated to electric lighting (e.g. fires, flares, volcanoes). This article describes the algorithms developed for the production of high-quality global VIIRS night-time lights. There is a broad base of science users for VIIRS night-time lights products, ranging from land-use scientists, urban geographers, ecologists, carbon modellers, astronomers, demographers, economists, and social scientists.
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ISSN 0143-1161 ISBN Medium
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Call Number LoNNe @ kyba @ Serial 1750
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