A harmonized global nighttime light dataset 1992–2018

Li, Xuecao; Zhou, Yuyu; Zhao, Min; Xiao, Zhao

doi:10.1038/s41597-020-0510-y

Cited by 328 publications

(235 citation statements)

References 39 publications

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“…We used the median value instead of the traditional average or max value because the monthly NPP-VIIRS NTL data were contaminated by stray light in the mid-to-high latitude regions during the entire summer, and the contaminated pixels are reassigned as 0 in the official monthly composite data (Elvidge et al, 2017). As the mean value could lower the NTL intensity and the max value could highlight the abnormal value, the median value could be more reliable than the mean or max value (Liu et al, 2010). A validation of these median composited NPP-VIIRS NTL data was conducted as described in the following section.…”

Section: Composited Npp-viirs Ntl Datamentioning

confidence: 99%

An extended time series (2000–2018) of global NPP-VIIRS-like nighttime light data from a cross-sensor calibration

Chen

Yang

et al. 2021

Earth Syst. Sci. Data

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383

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Abstract. The nighttime light (NTL) satellite data have been widely used to investigate the urbanization process. The Defense Meteorological Satellite Program Operational Linescan System (DMSP-OLS) stable nighttime light data and Suomi National Polar-orbiting Partnership Visible Infrared Imaging Radiometer Suite (NPP-VIIRS) nighttime light data are two widely used NTL datasets. However, the difference in their spatial resolutions and sensor design requires a cross-sensor calibration of these two datasets for analyzing a long-term urbanization process. Different from the traditional cross-sensor calibration of NTL data by converting NPP-VIIRS to DMSP-OLS-like NTL data, this study built an extended time series (2000–2018) of NPP-VIIRS-like NTL data through a new cross-sensor calibration from DMSP-OLS NTL data (2000–2012) and a composition of monthly NPP-VIIRS NTL data (2013–2018). The proposed cross-sensor calibration is unique due to the image enhancement by using a vegetation index and an auto-encoder model. Compared with the annual composited NPP-VIIRS NTL data in 2012, our product of extended NPP-VIIRS-like NTL data shows a good consistency at the pixel and city levels with R2 of 0.87 and 0.95, respectively. We also found that our product has great accuracy by comparing it with DMSP-OLS radiance-calibrated NTL (RNTL) data in 2000, 2004, 2006, and 2010. Generally, our extended NPP-VIIRS-like NTL data (2000–2018) have an excellent spatial pattern and temporal consistency which are similar to the composited NPP-VIIRS NTL data. In addition, the resulting product could be easily updated and provide a useful proxy to monitor the dynamics of demographic and socioeconomic activities for a longer time period compared to existing products. The extended time series (2000–2018) of nighttime light data is freely accessible at https://doi.org/10.7910/DVN/YGIVCD (Chen et al., 2020).

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Section: Composited Npp-viirs Ntl Datamentioning

confidence: 99%

An extended time series (2000–2018) of global NPP-VIIRS-like nighttime light data from a cross-sensor calibration

Chen

Yang

et al. 2021

Earth Syst. Sci. Data

Self Cite

383

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“…In the future research, it is necessary to consider how to calibrate the NTL data which is got by different sensors of different institutions in different period to the same brightness reference to extract the city built-up area and extend the time series that is studied in this paper. Furthermore, our future study will consider to use the methods proposed in the newest literature [ 42 , 43 ].…”

Section: Discussionmentioning

confidence: 99%

Research on spatial characteristics of metropolis development using nighttime light data: NTL based spatial characteristics of Beijing

Yang

Zhu

et al. 2020

PLoS ONE

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As the capital and one of the metropolises in China, Beijing has met with a number of serious so-called "urban diseases" in the process of rapid urbanization such as blind expansion of urban areas, explosion of population and the increase of urban heat island effect. To treat these “urban diseases” and make the metropolis develop healthful and sustainable in Beijing in the future, the spatial characteristics of metropolis developments in Beijing are explored in this paper. The urban built-up areas in Beijing are extracted using the DMSP-OLS nighttime light data from 1992 to 2013. The characteristics of the urban developments of Beijing are studied, including spatial and temporal scales of urban developments, urban barycenter of Beijing and its transfer trajectory, variations of urban spatial forms and the differences of urban internal developments. The results have shown that the built-up areas had been increasing and circling extending from the central urban areas to the outer spaces in the last 21 years. The built-up area had expanded by 878km2 in 1992–2013, and the built-up area in 2013 had expanded to three times comparing to that of 1992. The expanding area of the built-up area in the northeast is the largest. The expansion of the urban had mainly occurred in 1996–2007, and the expanded area had accounted for 92% of the total research period. During the whole research period, the urban barycenter of Beijing had moved 5000.71 meters towards Northeast 28° of its original place from Dongcheng District to Chaoyang District. The development level of each municipal district had been increasing year by year, and the development differences among the municipal districts had been gradually reduced; the spatial forms of Beijing had been alternately changed between extensive and intensive expansion. The results of this study can help to plan urban land use and people migration of Beijing.

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“…In order to analyse trends in light pollution as a stressor over the distribution of A. fastigiata , we used a harmonised global night‐time light observations data set 1992–2018 from satellites DMSP and VIIRS, following Li et al . (2020). The images are standardised at 1 km resolution and each pixel is represented by a digital number (DN) ranging from 0 to 63.…”

Section: Methodsmentioning

confidence: 99%

Light pollution is the fastest growing potential threat to firefly conservation in the Atlantic Forest hotspot

Vaz

Manes

Gama-Maia

et al. 2021

Insect Conserv Diversity

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1. In addition to being threatened by habitat loss derived from deforestation and urbanisation, fireflies are further deeply impacted by light pollution, which impairs their unique use of light signals to communicate and track females. The impact of stressors that can lead to declines in firefly populations is poorly known in the southern hemisphere, including the Atlantic Forest where they are especially diverse, associated with lack of knowledge about their distributions.2. Here, we model the potential distribution of the tracker ghost firefly Amydetes fastigiata and investigate whether light pollution, urbanisation and deforestation are increasing over time in this area.3. We found that light pollution is the stressor with the most prominent increase rates over its distribution. Light pollution is significantly increasing in extent and intensity over time, outpassing urbanisation and deforestation which increased at lower rates. Protected areas successfully buffer effects of urbanisation and deforestation, but are incapable to halt the spread of light pollution.4. Increasing light pollution is especially concerning due to the spotlighting behaviour of A. fastigiata to track females through the night, which is imperilled by overshadowing lights. Light pollution trends are increasing fast and should be considered as a significant stressor even within protected areaswhich calls for a reform in regional conservation policies and designation of new areas to be prioritised.5. We presented a framework for the evaluation of threat rates based on species distribution models that can foster future research and assess vulnerabilities of important species facing global change.

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A harmonized global nighttime light dataset 1992–2018

Cited by 328 publications

References 39 publications

An extended time series (2000–2018) of global NPP-VIIRS-like nighttime light data from a cross-sensor calibration

An extended time series (2000–2018) of global NPP-VIIRS-like nighttime light data from a cross-sensor calibration

Research on spatial characteristics of metropolis development using nighttime light data: NTL based spatial characteristics of Beijing

Light pollution is the fastest growing potential threat to firefly conservation in the Atlantic Forest hotspot

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