Intercalibration between DMSP/OLS and VIIRS night-time light images to evaluate city light dynamics of Syria’s major human settlement during Syrian Civil War

Li, Xi; Li, Deren; Xu, Hongxiong; Wu, Chen

doi:10.1080/01431161.2017.1331476

Cited by 205 publications

(168 citation statements)

References 23 publications

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“…The simulation of DMSP NTL with VIIRS annual composites refers to the method proposed by Li et al [20]. This method combines a power function and a Gaussian low pass filter to implement the transformation from VIIRS NTL to DMSP NTL.…”

Section: Simulating Dmsp With Viirs Annual Compositesmentioning

confidence: 99%

“…Among others, in order to simulate DMSP annual composites in the next section, VIIRS annual composites were aggregated to the spatial resolution of DMSP NTL, that is, 0.008333 • , and low light signal out of the detecting range of DMSP/OLS sensors was subtracted from VIIRS annual composites. The subtraction threshold was set to 0.3 nWcm −2 sr −1 and negative pixel values after the subtraction were assigned to zero [20].…”

Section: Simulating Dmsp With Viirs Annual Compositesmentioning

confidence: 99%

“…In this study, s was set to 50, as in Li et al [20]. However, to determine optimal values for other adjustable parameters, i.e., a, b, σ and w, a stepwise sensitive analysis was carried out.…”

Section: Simulating Dmsp With Viirs Annual Compositesmentioning

confidence: 99%

“…However, to determine optimal values for other adjustable parameters, i.e., a, b, σ and w, a stepwise sensitive analysis was carried out. In the initial stage, a, b and w were assigned values 11.7319, 0.4436 and 13, respectively, as in Li et al [20] for good performance in evaluating urban dynamics of Syria, the optimal value for σ was determined by testing different values from 0.1 to 5.1 with an increment of 0.01, and the value yielding the minimum RMSE (Equation (4)) between the original and the simulated DMSP NTL in 2012 and 2013 was chosen. After that, the optimal value for a was determined by testing values from 1.0 to 30 with an increment of 0.1, with σ assigned the optimal value obtained in the last step, and b and w assigned the values in Li et al [20].…”

Section: Simulating Dmsp With Viirs Annual Compositesmentioning

confidence: 99%

“…Shao et al [19] converted digital numbers of DMSP NTL to radiation values of VIIRS NTL with a function of lunar phases, but the range of converted digital numbers of DMSP NTL is limited between 10 and 31. Li et al [20] employed a power function and a Gaussian low pass filter to simulate DMSP monthly composites from VIIRS monthly composites and studied the loss of city light of Syria at the provincial level from March 2011 to January 2017. However, the model uses DMSP monthly composites that cannot be obtained free online, and the feasibility of the method has not been confirmed in other areas.…”

Section: Introductionmentioning

confidence: 99%

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

Wang

2019

Remote Sensing

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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.

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Section: Simulating Dmsp With Viirs Annual Compositesmentioning

confidence: 99%

Section: Simulating Dmsp With Viirs Annual Compositesmentioning

confidence: 99%

Section: Simulating Dmsp With Viirs Annual Compositesmentioning

confidence: 99%

Section: Simulating Dmsp With Viirs Annual Compositesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Wang

2019

Remote Sensing

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The City is the Medium and Satellite Imagery Are a Prism

Hoek

2021

Urban Remote Sensing

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Spatiotemporal coupling analysis of land urbanization and carbon emissions: A case study of Zhejiang Province, China

Zhu

Chen

et al. 2023

Land Degrad Dev

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Urban expansion is one of the most important drivers of carbon emissions. It not only causes the invasion of terrestrial carbon sinks but also aggravates carbon emissions through social and economic activities. Because the effect of urban expansion on carbon emissions varies at different stages of urban development, spatiotemporal analysis of the dynamic relationship between urban expansion and carbon emissions is critical for low‐carbon urban planning. By combining nighttime light remote sensing and panel data, this study explored the spatiotemporal coupling characteristics of urban expansion and carbon emissions in a case study of Zhejiang in China. Spatial overlap analysis was used to measure the consistency of the spatial movement trajectories, and the coupling coordination degree model was used to dynamically investigate the interaction between urban land expansion and carbon emission increase. In this way, the dynamic coupling is represented from both a temporal and spatial perspective. The results showed that both the carbon emission and urban expansion growth rates first increased and then decreased, and their spatial coupling became increasingly close. Significantly, the coordinated development level between carbon emissions and urban expansion presented an inverted U‐shaped curve, which is consistent with the Kuznets curve theory. Overall, our research revealed the regularity of carbon emissions associated with land urbanization, which can help policymakers and urban planners to achieve sustainable land management.

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Intercalibration between DMSP/OLS and VIIRS night-time light images to evaluate city light dynamics of Syria’s major human settlement during Syrian Civil War

Cited by 205 publications

References 23 publications

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

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

The City is the Medium and Satellite Imagery Are a Prism

Spatiotemporal coupling analysis of land urbanization and carbon emissions: A case study of Zhejiang Province, China

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