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Journal ArticleDOI

Modeling the luminous intensity of Beijing, China using DMSP-OLS night-time lights series data for estimating population density

TLDR
Wang et al. as discussed by the authors used the satellite observation data derived from Defense Meteorological Satellite Program (DMSP) to estimate population density through the measurement of light flux with radiometric recording.
Abstract
Various scientific researches were conducted to monitor human activities and natural phenomena with the availability of various night time satellite data such as Defense Meteorological Satellite Program (DMPS). Population growth especially in a faster growing economy like China is an important indicator for assessing socio-economic development, urban planning and environmental management. Thus, spatial distribution of population is instrumental in assessing growth and developmental activities in Beijing city of China. The satellite observation data derived from Defense Meteorological Satellite Program (DMSP) was utilized to estimate population density through the measurement of light flux with radiometric recording. The data was calibrated using C0, C1, C2 parameters before processing. Population density of Beijing city was estimated using light volume of this calibrated data. Regression analysis between urban population and light volume revealed high correlation ( r 2 = 0.89 ) . Thus, population density can effectively be estimated using light intensity. The model used for estimating urban population density can effectively be utilized for other major cities of the world.

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Citations
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Journal ArticleDOI

Analysis of microplastics in a remote region of the Tibetan Plateau: Implications for natural environmental response to human activities

TL;DR: It was found that tourism was the main source of MPs in water bodies, while facility agriculture and previous secondary industry are major contributors to soil MPs, and a feasible tool for MPs prediction according to local economic development.
Journal ArticleDOI

Multiscale analysis on spatiotemporal dynamics of energy consumption CO2 emissions in China: Utilizing the integrated of DMSP-OLS and NPP-VIIRS nighttime light datasets

TL;DR: This study integrated the Defense Meteorological Satellite Program's Operational Linescan System (DMSP-OLS) stable nighttime light data and Suomi National Polar-orbiting Partnership (NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) composite data, and established the integrated nighttime light datasets from 1992 to 2016, and provided policy implications based on the results.
Journal ArticleDOI

Spatiotemporal Dynamics and Driving Forces of Urban Land-Use Expansion: A Case Study of the Yangtze River Economic Belt, China

TL;DR: This study uses Defense Meteorological Satellite Program Operational Linescan System night lighting data, using the landscape index, spatial expansion strength index, compactness index, urban land fractal index, elasticity coefficient, the standard deviation ellipse, spatial correlation analysis, and partial least squares regression to analyze the spatial and temporal evolution of urban land expansion and its driving factors in the Yangtze River Economic Belt (YREB).
Journal ArticleDOI

Modeling electricity consumption using nighttime light images and artificial neural networks

Tomasz Jasiński
- 16 May 2019 - 
TL;DR: In this article, the authors used Artificial Neural Networks (ANN) to model electricity consumption and consumption generated by households in Central Europe at the NUTS-2 level, which enabled the modeling of non-linear relations associated with the complex structure of electricity demand.
Journal ArticleDOI

Spatiotemporal evolution of ecological vulnerability in the Yellow River Basin under ecological restoration initiatives

TL;DR: Based on the exposure-sensitivity-adaptability (ESSA) framework and earth observation data, the authors proposes an ecological vulnerability evaluation index system that reflects the impacts of natural and human stressors and assesses the ecological vulnerability in the Yellow River Basin during different policy periods.
References
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Book

China statistical yearbook

TL;DR: In this paper, the authors present a cross section of steel industry statistics and highlight the co operation of members and non members in supplying the information included in this publication, further details of the statistical sources used are given in the annex p 119.
Book ChapterDOI

LandScan: A global population database for estimating populations at risk

TL;DR: The LandScan Global Population Project (LandScan 1998) as mentioned in this paper produced a world-wide 1998 population database at a 30-by-30-second resolution for estimating ambient populations at risk.
Journal Article

Mapping City Lights With Nighttime Data from the DMSP Operational Linescan System

TL;DR: In this paper, the authors presented methods for detecting and geolocating VNIR emission sources with nighttime DMSP-OLS data and the analysis of image time series to identify spatially stable emissions from cities, towns, and industrial sites.
Journal ArticleDOI

Extracting the dynamics of urban expansion in China using DMSP-OLS nighttime light data from 1992 to 2008

TL;DR: Wang et al. as mentioned in this paper developed a new method for systematically correcting multi-year multi-satellite nighttime stable lights data and rapidly extracting the dynamics of urban expansion based on this corrected data for China from 1992 to 2008.
Journal ArticleDOI

Spatial analysis of global urban extent from DMSP-OLS night lights

TL;DR: In this paper, the tradeoff between blooming and attenuation of smaller lights was investigated in stable night lights datasets, and a Gaussian detection probability model was used to find a linear relationship between atmospheric scattering combined with a random geolocation error.
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What should be the intensity of night light?

Thus, population density can effectively be estimated using light intensity.