Results 231 to 240 of about 3,652,428 (257)
Predicting County-Level Population From VIIRS Nighttime Light Imagery With Deep Learning
IEEE Sensors JournalViswadeep Lebakula +3 more
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Evaluating the Feasibility of Using Nighttime Light Imagery to Detect Tornado-Induced Power Outages
Martin Appiah +2 more
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International Journal of Applied Earth Observation and Geoinformation, 2019 Abstract Impervious surface detection is significant to urban dynamic monitoring and environment management. One of the most effective approaches to evaluating the impervious surface is the use of nighttime light imagery. However, little work on this subject was carried out with the new generation nighttime light data from Luojia 1-01 satellite ...
Penghua Liu, Xiaoping Liu
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A Saturated Light Correction Method for DMSP/OLS Nighttime Satellite Imagery
IEEE Transactions on Geoscience and Remote Sensing, 2012Several studies have clarified that electric power consumption can be estimated from the Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) stable light imagery. As digital numbers (DNs) of stable light images are often saturated in the center of city areas, we developed a saturated light correction method for the DMSP/OLS ...
Husi Letu
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Population bias in nighttime lights imagery
Remote Sensing Letters, 2019ABSTRACTBrightness of nighttime lights (NTL) derived from remote sensing imagery has been extensively used to estimate population. However, population bias in NTL images has yet to be investigated. In this study, we explore the associations of race and age demographics with brightness of NTL in the United States (US) for 2015 and 2016.
Naizhuo Zhao, Eric L. Samson, Ying Liu
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Summer suburbanization in Moscow Region: Investigation with nighttime lights satellite imagery
Environment and Planning A: Economy and Space, 2022In the summertime, many Moscow residents move to second homes in the countryside, which causes strong seasonal fluxes in the population size of the Russian capital, its surroundings, and more remote rural areas. To better understand the spatial scale and patterns of seasonal suburbanization, we tracked the changes in average monthly nighttime light ...
Alexander Sheludkov, Alexandra Starikova
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IEEE Transactions on Geoscience and Remote Sensing, 2021
The cloud-free monthly composite of the global nighttime light (NTL) data derived from the Suomi National Polar orbiting Partnership with the Visible Infrared Imaging Radiometer Suite (VIIRS) day/night band (DNB) has gained popularity for detecting anthropogenic and socioeconomic activities.
Yang Ye +6 more
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The cloud-free monthly composite of the global nighttime light (NTL) data derived from the Suomi National Polar orbiting Partnership with the Visible Infrared Imaging Radiometer Suite (VIIRS) day/night band (DNB) has gained popularity for detecting anthropogenic and socioeconomic activities.
Yang Ye +6 more
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Improved Denoising of VIIRS Nighttime Light Imagery for Estimating Electric Power Consumption
IEEE Geoscience and Remote Sensing Letters, 2020Background noise of nighttime light (NTL) imageries derived from the Visible Infrared Imaging Radiometer Suite (VIIRS) day/night band (DNB) adversely affected the accuracy in investigating socio-economic activities, which needed to be reduced. The threshold method was often used in noise reduction, and the critical issue of which was how to determine ...
Jintang Lin, Wenzhong Shi
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Improving Nighttime Light Imagery With Location-Based Social Media Data
IEEE Transactions on Geoscience and Remote Sensing, 2019Location-based social media have been extensively utilized in the concept of “social sensing” to exploit dynamic information about human activities, yet joint uses of social sensing and remote sensing images are underdeveloped at present. In this paper, the close relationship between the number of Twitter users and brightness of nighttime lights (NTL ...
Naizhuo Zhao +5 more
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International Journal of Applied Earth Observation and Geoinformation, 2016 Abstract Nighttime light imagery is a powerful tool to study urbanization because it can provide a uniform metric, lit area, to delimit urban extents. However, lit area is much larger than actual urban area, so thresholds of digital number (DN) values are usually needed to reduce the lit area. The threshold varies greatly among different regions, but
Naizhuo Zhao, Guofeng Cao
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