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| Author |
Priyatikanto, R.; Mayangsari, L.; Prihandoko, R.A.; Admiranto, A.G. |
| Title |
Classification of Continuous Sky Brightness Data Using Random Forest |
Type |
Journal Article |
| Year |
2020 |
Publication  |
Advances in Astronomy |
Abbreviated Journal |
Advances in Astronomy |
| Volume |
2020 |
Issue |
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Pages |
1-11 |
| Keywords |
Skyglow |
| Abstract |
Sky brightness measuring and monitoring are required to mitigate the negative effect of light pollution as a byproduct of modern civilization. Good handling of a pile of sky brightness data includes evaluation and classification of the data according to its quality and characteristics such that further analysis and inference can be conducted properly. This study aims to develop a classification model based on Random Forest algorithm and to evaluate its performance. Using sky brightness data from 1250 nights with minute temporal resolution acquired at eight different stations in Indonesia, datasets consisting of 15 features were created to train and test the model. Those features were extracted from the observation time, the global statistics of nightly sky brightness, or the light curve characteristics. Among those features, 10 are considered to be the most important for the classification task. The model was trained to classify the data into six classes (1: peculiar data, 2: overcast, 3: cloudy, 4: clear, 5: moonlit-cloudy, and 6: moonlit-clear) and then tested to achieve high accuracy (92%) and scores (F-score = 84% and G-mean = 84%). Some misclassifications exist, but the classification results are considerably good as indicated by posterior distributions of the sky brightness as a function of classes. Data classified as class-4 have sharp distribution with typical full width at half maximum of 1.5 mag/arcsec2, while distributions of class-2 and -3 are left skewed with the latter having lighter tail. Due to the moonlight, distributions of class-5 and -6 data are more smeared or have larger spread. These results demonstrate that the established classification model is reasonably good and consistent. |
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1687-7969 |
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no |
| Call Number |
GFZ @ kyba @ |
Serial |
2878 |
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| Author |
Omar, N. S., & Ismal, A. |
| Title |
Night Lights and Economic Performance in Egypt |
Type |
Journal Article |
| Year |
2019 |
Publication |
Advances in Economics and Business |
Abbreviated Journal |
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| Volume |
7 |
Issue |
2 |
Pages |
69-81 |
| Keywords |
Economics; Remote Sensing |
| Abstract |
This paper, to the best of my knowledge, is the first to estimate the association between Nighttime Lights (NTL) and real Gross Domestic Product (GDP) at the national level, using sub-national GDP data for the 27 Egyptian governorates over FY08-FY13. The study finds that NTL has a positive and statistically significant
correlation with GDP at the sub-national and national levels. Hence, NTL can measure and predict GDP in Egypt, at the national and sub-national levels. These findings affirm most previous research that NTL could be a good proxy for GDP when official data are unavailable or time infrequent in developing countries. |
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IDA @ intern @ |
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2301 |
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| Author |
Hagen, O.; Santos, R.M.; Schlindwein, M.N.; Viviani, V.R. |
| Title |
Artificial Night Lighting Reduces Firefly (Coleoptera: Lampyridae) Occurrence in Sorocaba, Brazil |
Type |
Journal Article |
| Year |
2015 |
Publication |
Advances in Entomology |
Abbreviated Journal |
Ae |
| Volume |
03 |
Issue |
01 |
Pages |
24-32 |
| Keywords |
Animals |
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2331-1991 |
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LoNNe @ christopher.kyba @ |
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1097 |
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Bukalev, A.V.; Vinogradova, I.A.; Zabezhinskii, M.A.; Semenchenko, A.V.; Anisimov, V.N. |
| Title |
Light pollution increases morbidity and mortality rate from different causes in female rats |
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Journal Article |
| Year |
2013 |
Publication |
Advances in Gerontology |
Abbreviated Journal |
Adv Gerontol |
| Volume |
3 |
Issue |
3 |
Pages |
180-188 |
| Keywords |
light-at-night; spontaneous tumors; nontumor pathology epiphysis; rats; animals; mammals |
| Abstract |
The influence of different light regimes (constant light, LL; constant darkness, DD; standard light regime, LD, 12 hours light/12 hours darkness; and natural lighting of the northwest of Russia (NL) on non-tumor pathology revealed in the post-mortem examination of female rats has been studied. It was found that keeping 25-days-old animals under LL and NL conditions led to an increase in the number of infectious diseases and the substantially faster development of spontaneous tumors (2.9 and 3.3 diseases per one rat, respectively), variety of nontumor pathology found in dead rats, compared with the animals in standard (standard light) regime (1.72 diseases per one rat). Light deprivation (DD) led to a substantial reduction in the development of new growth, as well as nontumor and infectious diseases (1.06 diseases per one rat), compared to the same parameters in a standard light regime. |
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2079-0570 |
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no |
| Call Number |
IDA @ john @ |
Serial |
89 |
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Vinogradova, I.A.; Ilyukha, V.A.; Khizhkin, E.A.; Uzenbaeva, L.B.; Ilyina, T.N.; Bukalev, A.V.; Goranskii, A.I.; Matveeva, Y.P.; Yunash, V.D.; Lotosh, T.A. |
| Title |
Light pollution, desynchronosis, and aging: State of the problem and solutions |
Type |
Journal Article |
| Year |
2014 |
Publication |
Advances in Gerontology |
Abbreviated Journal |
Adv Gerontol |
| Volume |
4 |
Issue |
4 |
Pages |
260-263 |
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animals |
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2079-0570 |
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no |
| Call Number |
LoNNe @ christopher.kyba @ |
Serial |
1067 |
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