Normalization of VIIRS DNB images for improved estimation of socioeconomic indicators

Man, Duc Chuc; Hirakawa, Tsubasa; Fukui, Hiromichi

doi:10.1080/17538947.2020.1849438

Cited by 6 publications

(4 citation statements)

References 10 publications

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“…Secondly, the amount of light caught by the satellite sensor depends strongly on the surface reflection properties (albedo) (Levin, 2017; Man et al, 2021). In Yaroslavl Oblast, albedo increases substantially from October to April because of snow cover.…”

Section: Methodsmentioning

confidence: 99%

“…This results in seasonal fluctuations of high amplitude in the NTL data (Figure A1a, b in Appendix A). To suppress the albedo effects, we followed an algorithm proposed by Man et al (2021). It is based on the assumption that, in a dataset, there are stable, lit pixels whose radiance values across the year correlate with the changing albedo.…”

Section: Preprocessingmentioning

confidence: 99%

“…As the reference albedo value, we chose an interval of 0.03-0.035 that was most common in the dataset and also represented the mean value for August and September, that is, the months that experience the most second home mobility. As suggested by Man et al (2021), we examined several forms of the function describing the relationship between NTL radiance and albedo of stable lit pixels. The selected power function (Equation 1) showed the best results in terms of the Pearson correlation coefficient between the observed NTL radiance values in the reference albedo interval and the fitted NTL values.…”

Section: Preprocessingmentioning

confidence: 99%

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Nighttime‐lights satellite imagery reveals hotspots of second home mobility in rural Russia (a case study of Yaroslavl Oblast)

Sheludkov

Starikova

2022

Regional Science Policy & Practice

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Second home mobility is a well‐known phenomenon in many countries, but is widely prominent in Russia, where millions of city dwellers move to rural areas during the summertime. Combating long‐term economic decline and depopulation, second home mobility creates a promising opportunity to revitalize the countryside. While this phenomenon is largely neglected by official statistics, we suggest using satellite imagery of nighttime lights to investigate its spatial and temporal patterns. We did this with the example of Yaroslavl Oblast in Russia. This region neighbors the Moscow Capital Region. It experiences a significant inflow of second home residents. By tracking the seasonal pixel‐wise changes of nighttime light radiance in monthly composites of satellite imagery from 2015 to 2019, we located hotspots of second homes and factors determining their spatial spread in rural areas. The results were evaluated with field research. Our results confirmed earlier conclusions that second homes’ locations in rural areas are largely determined by their proximity to Moscow, natural conditions, and transport accessibility. City dwellers often choose small and even fully abandoned villages for their second homes, which stresses the important role of second home mobility in preserving cultural landscapes. The proposed data and methods are limited by missing data for the northern regions during summer months and are more suitable for areas beyond the urban fringe where nighttime‐lights data are not biased by the ‘overglow’ of large cities.

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Section: Methodsmentioning

confidence: 99%

Section: Preprocessingmentioning

confidence: 99%

Section: Preprocessingmentioning

confidence: 99%

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Nighttime‐lights satellite imagery reveals hotspots of second home mobility in rural Russia (a case study of Yaroslavl Oblast)

Sheludkov

Starikova

2022

Regional Science Policy & Practice

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“…First, the MODIS 500m daily white-sky albedo values were averaged into monthly composites to match the temporal frequency of the NTL data. The NTL values were then normalized for the influence of snow on NTL following the procedure of Man et al [ 44 ] ( Eq 1 ). Here, ntl represents the monthly VIIRS data and albedo represents the monthly white-sky albedo values.…”

Section: Methodsmentioning

confidence: 99%

Measuring industrial lumber production using nighttime lights: A focus study on lumber mills in British Columbia, Canada

2022

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Nighttime lights (NTL) are the procurement of remotely sensed artificial illumination from the Visible Infrared Imaging Radiometer Suite (VIIRS) satellite. NTL provides a unique perspective on anthropogenic activity by characterizing spatial and temporal patterns related to economic trends and human development. In this study, we assess the ability of NTL to characterize trends associated with industrial lumber production in British Columbia, Canada. We establish the presence of a logarithmic relationship between NTL and lumber mill production capacity (R2 = 0.69–0.82). The ability of NTL to temporally identify mill closures is then demonstrated by differentiating pairs of active and closed mills. We also identify Granger causality and co-integration between NTL and monthly lumber production, highlighting the predictive capability of NTL to forecast production. We then utilize this relationship to build linear regression models that utilize NTL data to estimate monthly (R2 = 0.33), quarterly (R2 = 0.58), and annual (R2 = 0.90) lumber production without reported data.

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Spatiotemporal evolution and driving factors of carbon emission efficiency of resource-based cities in the Yellow River Basin of China

Song

Gao

Zhang

et al. 2023

Environ Sci Pollut Res

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Normalization of VIIRS DNB images for improved estimation of socioeconomic indicators

Cited by 6 publications

References 10 publications

Nighttime‐lights satellite imagery reveals hotspots of second home mobility in rural Russia (a case study of Yaroslavl Oblast)

Nighttime‐lights satellite imagery reveals hotspots of second home mobility in rural Russia (a case study of Yaroslavl Oblast)

Measuring industrial lumber production using nighttime lights: A focus study on lumber mills in British Columbia, Canada

Spatiotemporal evolution and driving factors of carbon emission efficiency of resource-based cities in the Yellow River Basin of China

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