Changes in Light Pollution and the Causing Factors in China’s Protected Areas, 1992–2012

Xiang, Wenli; Tan, Minghong

doi:10.3390/rs9101026

Cited by 39 publications

(23 citation statements)

References 33 publications

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“…Although the wide use of artificial light at night has brought significant convenience to humankind, the dramatic change of the NTL environment inevitably affects both the ecosystem and human life, known as "light pollution" [177]. NTL data have brought new opportunities for light pollution studies, enabling evaluation over large areas with low costs compared to the traditional ground-based observations and laboratory studies [178,179]. Currently, studies of light pollution based on satellite-derived NTL data mainly lie in three aspects: (1) Characterizing and surveying the distribution of light pollution; (2) revealing the impacts of NTLs on ecological environment and species; and (3) estimating the impact on human health brought by artificial light at night.…”

Section: Light Pollution and Associated Effectsmentioning

confidence: 99%

“…Widespread studies have been conducted to characterize the distribution of light pollution from local [68,[180][181][182], national [183][184][185], regional [186], and global scales [187,188] using various NTL datasets derived from different sensors. The distribution of light pollution in both developed areas, such as Europe [181,182,186], and fast developing areas, such as China [13,68,179,183,184] and Pakistan [185], have been investigated using the time series of NTL data from the DMSP-OLS. Necessary data preprocessing has been performed for consistent and comparable light pollution mapping.…”

Section: Light Pollution and Associated Effectsmentioning

confidence: 99%

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Applications of Satellite Remote Sensing of Nighttime Light Observations: Advances, Challenges, and Perspectives

et al. 2019

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Nighttime light observations from remote sensing provide us with a timely and spatially explicit measure of human activities, and therefore enable a host of applications such as tracking urbanization and socioeconomic dynamics, evaluating armed conflicts and disasters, investigating fisheries, assessing greenhouse gas emissions and energy use, and analyzing light pollution and health effects. The new and improved sensors, algorithms, and products for nighttime lights, in association with other Earth observations and ancillary data (e.g., geo-located big data), together offer great potential for a deep understanding of human activities and related environmental consequences in a changing world. This paper reviews the advances of nighttime light sensors and products and examines the contributions of nighttime light remote sensing to perceiving the changing world from two aspects (i.e., human activities and environmental changes). Based on the historical review of the advances in nighttime light remote sensing, we summarize the challenges in current nighttime light remote sensing research and propose four strategic directions, including: Improving nighttime light data; developing a long time series of consistent nighttime light data; integrating nighttime light observations with other data and knowledge; and promoting multidisciplinary and interdisciplinary analyses of nighttime light observations.

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Section: Light Pollution and Associated Effectsmentioning

confidence: 99%

Section: Light Pollution and Associated Effectsmentioning

confidence: 99%

Applications of Satellite Remote Sensing of Nighttime Light Observations: Advances, Challenges, and Perspectives

et al. 2019

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“…In addition, NTL provides a new opportunity for estimating energy consumption and greenhouse gas emissions [8][9][10][11]. It also promotes research on the distribution of light pollution and its impact on human health and protected areas [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Constructing a New Inter-Calibration Method for DMSP-OLS and NPP-VIIRS Nighttime Light

Guo

Ahmad

et al. 2020

Remote Sensing

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The anthropogenic nighttime light (NTL) data that are acquired by satellites can characterize the intensity of human activities on the ground. It has been widely used in urban development assessment, socioeconomic estimate, and other applications. However, currently, the two main sensors, Defense Meteorological Satellite Program’s Operational Linescan System (DMSP-OLS) and Suomi National Polar-orbiting Partnership Satellite’s Visible Infrared Imaging Radiometer Suite (NPP-VIIRS), provide inconsistent data. Hence, the application of NTL for long-term analysis is hampered. This study constructed a new inter-calibration method for DMSP-OLS and NPP-VIIRS nighttime light to solve this problem. First, NTL data were processed to obtain vicarious site across China. By comparing different candidate models, it is discovered the Biphasic Dose Response (BiDoseResp) model, which is a weighted combination of sigmoid functions, can best perform the regression between DMSP-OLS and logarithmically transformed NPP-VIIRS. The coefficient of determination of BiDoseResp model reaches 0.967. It’s residual sum of squares is 6.136 × 10 5 , which is less than 6.199 × 10 5 of Logistic function. After obtaining the BiDoseResp-calibrated VIIRS (BDRVIIRS), we smoothed it by a filter with optimal parameters to maximize the consistency. The result shows that the consistency of NTL data is greatly enhanced after calibration. In 2013, the correlation coefficient between DMSP-OLS and original NPP-VIIRS data in the China region is only 0.621, while that reaches to 0.949 after calibration. Finally, a consistent NTL dataset of China from 1992 to 2018 was produced. When compared with the existing methods, our method is applicable to the full dynamic range of DMSP-OLS. Besides, it is more suitable for country or larger scale areas. It is expected that this method can greatly facilitate the development of research that is based on the historical NTL archive.

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“…Since the invention of electric lights, a variety of artificial light sources have illuminated the night sky, providing great convenience for the lives and productivity of humans. With the development of lighting technology and the economy, artificial light has continuously increased across the world, both in intensity and extent [1][2][3]. Kyba et al indicated that Earth's artificially lit area grew by 2.2% per year during the period of 2012-2016 based on NPP/VIIRS nighttime light remote sensing data [4].…”

Section: Introductionmentioning

confidence: 99%

Investigation of Nighttime Light Pollution in Nanjing, China by Mapping Illuminance from Field Observations and Luojia 1-01 Imagery

Cui

et al. 2020

Sustainability

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In recent years, the number of artificial light sources has tremendously increased with the development of lighting technology and the economy. Nighttime light pollution has been an increasing environmental problem, resulting in negative impacts on human health and the ecological environment. Detailed knowledge of light pollution is important for the planning and management of urban lighting. In this study, light pollution in Nanjing, China was monitored and analyzed using field observations and a 130-m resolution Luojia 1-01 nighttime light imagery. Combined with in situ observations and satellite imagery, a variety of empirical models were established for estimating ambient illuminance at night. Cross-validation was employed to assess the performance of these models, indicating that the third-degree polynomials model had the best performance (MAE = 5.06 lx, R2 = 0.81). The developed third-degree polynomial model was then applied to the Luojia 1-01 image to map the nighttime illuminance in Nanjing. The nighttime illuminance depicted the spatial pattern of the light environment over Nanjing and also indicated some heavily light-polluted areas. Some lit areas were residential areas, whose high brightness had negative effects on residents and need particular attention. This study provides a quantitative and objective reference for the light pollution management in Nanjing, and also a reference for light pollution survey in other regions.

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Changes in Light Pollution and the Causing Factors in China’s Protected Areas, 1992–2012

Cited by 39 publications

References 33 publications

Applications of Satellite Remote Sensing of Nighttime Light Observations: Advances, Challenges, and Perspectives

Applications of Satellite Remote Sensing of Nighttime Light Observations: Advances, Challenges, and Perspectives

Constructing a New Inter-Calibration Method for DMSP-OLS and NPP-VIIRS Nighttime Light

Investigation of Nighttime Light Pollution in Nanjing, China by Mapping Illuminance from Field Observations and Luojia 1-01 Imagery

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