| Records |
| Author |
Duriscoe, D.M.; Anderson, S.J.; Luginbuhl, C.B.; Baugh, K.E. |
| Title |
A simplified model of all-sky artificial sky glow derived from VIIRS Day/Night band data |
Type |
Journal Article |
| Year |
2018 |
Publication |
Journal of Quantitative Spectroscopy and Radiative Transfer |
Abbreviated Journal |
Journal of Quantitative Spectroscopy and Radiative Transfer |
| Volume |
214 |
Issue |
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Pages |
133-145 |
| Keywords |
Skyglow; Remote Sensing |
| Abstract |
We present a simplified method using geographic analysis tools to predict the average artificial luminance over the hemisphere of the night sky, expressed as a ratio to the natural condition. The VIIRS Day/Night Band upward radiance data from the Suomi NPP orbiting satellite was used for input to the model. The method is based upon a relation between sky glow brightness and the distance from the observer to the source of upward radiance. This relationship was developed using a Garstang radiative transfer model with Day/Night Band data as input, then refined and calibrated with ground-based all-sky V-band photometric data taken under cloudless and low atmospheric aerosol conditions. An excellent correlation was found between observed sky quality and the predicted values from the remotely sensed data. Thematic maps of large regions of the earth showing predicted artificial V-band sky brightness may be quickly generated with modest computing resources. We have found a fast and accurate method based on previous work to model all-sky quality. We provide limitations to this method. The proposed model meets requirements needed by decision makers and land managers of an easy to interpret and understand metric of sky quality. |
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0022-4073 |
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GFZ @ kyba @ |
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1879 |
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| Author |
Guetté, A.; Godet, L.; Juigner, M.; Robin, M. |
| Title |
Worldwide increase in Artificial Light At Night around protected areas and within biodiversity hotspots |
Type |
Journal Article |
| Year |
2018 |
Publication |
Biological Conservation |
Abbreviated Journal |
Biological Conservation |
| Volume |
223 |
Issue |
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Pages |
97-103 |
| Keywords |
Remote Sensing; Ecology; Conservation |
| Abstract |
Artificial Light At Night (ALAN) has several adverse impacts on biodiversity, and it has been recently used as a proxy to monitor human encroachment on landscapes at large spatial scales. The extent to which ALAN affects protected areas (PAs) and biodiversity hotspots (BHs) remains however untested at large spatial scales. We used this proxy to assess the spatial and temporal trends in the anthropization at a global scale within and around PAs and BHs. We found that ALAN is low and stable over time within PAs, but is the highest in a first outer belt (<25 km) around PAs, and tends to increase in a second outer belt (25–75 km). In the meantime, ALAN is higher within BHs than outside, and is even the highest and increasing over time in an inner belt, close to their periphery. Our results suggest that although PAs are creating safety zones in terms of ALAN, they tend to be more and more isolated from each other by a concentric human encroachment. In contrast, BHs are submitted to an increasing human pressure, especially in their inner periphery. Overall, we suggest integrating ALAN in large-scale conservation policies. |
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0006-3207 |
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GFZ @ kyba @ |
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1890 |
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Willett, S. |
| Title |
How many bioluminescent insects would be needed to produce the same level of light pollution as London? |
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Journal Article |
| Year |
2017 |
Publication |
Journal of Interdisciplinary Science Topics |
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7 |
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| Keywords |
Remote Sensing; Lighting; Animals |
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This paper determines how many light emitting Pyrophorus noctilucus would be required to produce the same level of light, and so the same amount of light pollution, as London. It was determined that if one P. noctilucos emitted 0.00153 lumens, it would take 2.940x1011 of them to produce the 449x106 lumen emitted by London. This number of bugs equates to an area of approximately 1.911x108 m2 which is 8 times smaller than the size of London. |
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GFZ @ kyba @ |
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1892 |
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Levin, N.; Ali, S.; Crandall, D. |
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Utilizing remote sensing and big data to quantify conflict intensity: The Arab Spring as a case study |
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Journal Article |
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2018 |
Publication |
Applied Geography |
Abbreviated Journal |
Applied Geography |
| Volume |
94 |
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1-17 |
| Keywords |
Remote Sensing; Society; Human Health |
| Abstract |
Tracking global and regional conflict zones requires spatially explicit information in near real-time. Here, we examined the potential of remote sensing time-series data (night lights) and big data (data mining of news events and Flickr photos) for monitoring and understanding crisis development and refugee flows. We used the recent Arab Spring as a case study, and examined temporal trends in monthly time series of variables which we hypothesized to indicate conflict intensity, covering all Arab countries. Both Flickr photos and night-time lights proved as sensitive indicators for loss of economic and human capital, and news items from the Global Data on Events, Location and Tone (GDELT) project on fight events were positively correlated with actual deaths from conflicts. We propose that big data and remote sensing datasets have potential to provide disaggregated and timely data on conflicts where official statistics are lacking, offering an effective approach for monitoring geopolitical and environmental changes on Earth. |
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0143-6228 |
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GFZ @ kyba @ |
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1918 |
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| Author |
Ma, T. |
| Title |
An Estimate of the Pixel-Level Connection between Visible Infrared Imaging Radiometer Suite Day/Night Band (VIIRS DNB) Nighttime Lights and Land Features across China |
Type |
Journal Article |
| Year |
2018 |
Publication |
Remote Sensing |
Abbreviated Journal |
Remote Sensing |
| Volume |
10 |
Issue |
5 |
Pages |
723 |
| Keywords |
Remote Sensing |
| Abstract |
Satellite-derived nighttime light images are increasingly used for various studies in relation to demographic, socioeconomic and urbanization dynamics because of the salient relationships between anthropogenic lighting signals at night and statistical variables at multiple scales. Owing to a higher spatial resolution and fewer over-glow and saturation effects, the new generation of nighttime light data derived from the Visible Infrared Imaging Radiometer Suite (VIIRS) day/night band (DNB), which is located on board the Suomi National Polar-Orbiting Partnership (Suomi-NPP) satellite, is expected to facilitate the performance of nocturnal luminosity-based investigations of human activity in a spatially explicit manner. In spite of the importance of the spatial connection between the VIIRS DNB nighttime light radiance (NTL) and the land surface type at a fine scale, the crucial role of NTL-based investigations of human settlements is not well understood. In this study, we investigated the pixel-level relationship between the VIIRS DNB-derived NTL, a Landsat-derived land-use/land-cover dataset, and the map of point of interest (POI) density over China, especially with respect to the identification of artificial surfaces in urban land. Our estimates suggest that notable differences in the NTL between urban (man-made) surfaces and other types of land surfaces likely allow us to spatially identify most of the urban pixels with relatively high radiance values in VIIRS DNB images. Our results also suggest that current nighttime light data have a limited capability for detecting rural residential areas and explaining pixel-level variations in the POI density at a large scale. Moreover, the impact of non-man-made surfaces on the partitioned results appears inevitable because of the spatial heterogeneity of human settlements and the nature of remotely sensed nighttime light data. Using receiver operating characteristic (ROC) curve-based analysis, we obtained optimal thresholds of the nighttime light radiance, by equally weighting the sensitivity and specificity of the identification results, for extracting the nationwide distribution of lighted urban man-made pixels from the 2015 annual composite of VIIRS DNB data. Our findings can provide the basic knowledge needed for the further application of current nighttime light data to investigate spatiotemporal patterns in human settlements. |
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2072-4292 |
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GFZ @ kyba @ |
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1919 |
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