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Open AccessArticle

Aligning Pixel Values of DMSP and VIIRS Nighttime Light Images to Evaluate Urban Dynamics

by 1,*,† and 2,†
1
Beijing Key Laboratory of Megaregions Sustainable Development Modelling and School of Urban Economics and Public Administration, Capital University of Economics and Business, Beijing 100070, China
2
Beijing Key Laboratory of Megaregions Sustainable Development Modelling and Institute of Megalopolis Social-economic Development, Capital University of Economics and Business, Beijing 100070, China
*
Author to whom correspondence should be addressed.
The two authors contribute equally to the paper.
Remote Sens. 2019, 11(12), 1463; https://doi.org/10.3390/rs11121463
Received: 25 April 2019 / Revised: 12 June 2019 / Accepted: 18 June 2019 / Published: 20 June 2019
(This article belongs to the Special Issue Advances in Remote Sensing with Nighttime Lights)
The brightness of pixels in nighttime light images (NTL) has been regarded as the proxy of the urban dynamics. However, the great difference between the pixel values of NTL from the Defense Meteorological Satellite Program’s Operational Linescan System (DMSP/OLS) and the Suomi National Polar-orbiting Partnership satellite’s Visible Infrared Imaging Radiometer Suite (Suomi NPP/VIIRS) poses obstacles to analyze economic and social development with NTL in a continuous temporal sequence. This research proposes a methodology to align the pixel values of both NTL by calibrating annual DMSP images between the years 1992–2013 with a robust regression algorithm with a quadratic polynomial regression model and simulating annual DMSP images with VIIRS images between years 2012 and 2018 with a model consisting of a power function and a Gaussian low pass filter. As a result, DMSP annual images between years 1992–2018 can be produced. Case study of Beijing and Yiwu are conducted and evaluated with local gross domestic product (GDP). Compared with the values of DMSP and VIIRS annual composites, the Pearson correlation coefficients of DMSP and simulated DMSP annual composites in 2012 and in 2013 increase significantly, while the root mean square error (RMSE) decrease evidently. In addition, the correlation of the sum of light of NTL and local GDP is enhanced with a simulation process. These results demonstrate the feasibility of the proposed method in narrowing the gap between DMSP and VIIRS NTL in pixel values. View Full-Text
Keywords: nighttime light image; urban dynamics; Beijing; pixel value; intercalibration nighttime light image; urban dynamics; Beijing; pixel value; intercalibration
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MDPI and ACS Style

Wu, K.; Wang, X. Aligning Pixel Values of DMSP and VIIRS Nighttime Light Images to Evaluate Urban Dynamics. Remote Sens. 2019, 11, 1463.

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