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Cao, X.; Chen, J.; Imura, H.; Higashi, O. |
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Title |
A SVM-based method to extract urban areas from DMSP-OLS and SPOT VGT data |
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Journal Article |
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2009 |
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Remote Sensing of Environment |
Abbreviated Journal |
Remote Sensing of Environment |
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113 |
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10 |
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2205-2209 |
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Remote Sensing |
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Abstract |
Mapping urban areas at regional and global scales has become an urgent task because of the increasing pressures from rapid urbanization and associated environmental problems. Satellite imaging of stable anthropogenic lights from DMSP-OLS provides an accurate, economical, and straightforward way to map the global distribution of urban areas. To address problems in the thresholding methods that use empirical strategies or manual trial-and-error procedures, we proposed a support vector machine (SVM)-based region-growing algorithm to semi-automatically extract urban areas from DMSP-OLS and SPOT NDVI data. Several simple criteria were used to select SVM training sets of urban and non-urban pixels, and an iterative classification and training procedure was adopted to identify the urban pixels through region growing. The new method was validated using the extents of 25 Chinese cities, as classified by Landsat ETM+ images, and then compared with two common thresholding methods. The results showed that the SVM-based algorithm could not only achieve comparable results to the local-optimized threshold method, but also avoid its tedious trial-and-error procedure, suggesting that the new method is an easy and simple alternative for extracting urban extent from DMSP-OLS and SPOT NDVI data. |
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0034-4257 |
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GFZ @ kyba @ |
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2041 |
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Shi, K.; Yu, B.; Huang, Y.; Hu, Y.; Yin, B.; Chen, Z.; Chen, L.; Wu, J. |
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Title |
Evaluating the Ability of NPP-VIIRS Nighttime Light Data to Estimate the Gross Domestic Product and the Electric Power Consumption of China at Multiple Scales: A Comparison with DMSP-OLS Data |
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Journal Article |
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2014 |
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Remote Sensing |
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Remote Sensing |
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6 |
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2 |
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1705-1724 |
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Remote Sensing |
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The nighttime light data records artificial light on the Earth’s surface and can be used to estimate the spatial distribution of the gross domestic product (GDP) and the electric power consumption (EPC). In early 2013, the first global NPP-VIIRS nighttime light data were released by the Earth Observation Group of National Oceanic and Atmospheric Administration’s National Geophysical Data Center (NOAA/NGDC). As new-generation data, NPP-VIIRS data have a higher spatial resolution and a wider radiometric detection range than the traditional DMSP-OLS nighttime light data. This study aims to investigate the potential of NPP-VIIRS data in modeling GDP and EPC at multiple scales through a case study of China. A series of preprocessing procedures are proposed to reduce the background noise of original data and to generate corrected NPP-VIIRS nighttime light images. Subsequently, linear regression is used to fit the correlation between the total nighttime light (TNL) (which is extracted from corrected NPP-VIIRS data and DMSP-OLS data) and the GDP and EPC (which is from the country’s statistical data) at provincial- and prefectural-level divisions of mainland China. The result of the linear regression shows that R2 values of TNL from NPP-VIIRS with GDP and EPC at multiple scales are all higher than those from DMSP-OLS data. This study reveals that the NPP-VIIRS data can be a powerful tool for modeling socioeconomic indicators; such as GDP and EPC. |
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2072-4292 |
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2042 |
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Ashford, O.M. |
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A portable cloud searchlight |
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1947 |
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Weather |
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2 |
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103-104 |
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Remote Sensing |
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2044 |
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Davidovic, M.; Djokic, L.; Cabarkapa, A.; Kostic, M. |
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Title |
Warm white versus neutral white LED street lighting: Pedestrians' impressions |
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Journal Article |
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2018 |
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Lighting Research & Technology |
Abbreviated Journal |
Lighting Research & Technology |
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in press |
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147715351880429 |
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Psychology; Security |
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The subjective impressions of pedestrians are necessary in order to decide on the appropriate colour of light to be used for street lighting. Therefore, a pilot project aimed to compare subjective evaluations of the sidewalk illumination under two street lighting installations, realised by LEDs of 3000 K (warm white) and 4000 K (neutral white), was recently conducted in Belgrade. Both installations had comparable sidewalk illuminances as well as other relevant photometric parameters. The evaluation was done through a questionnaire. A group of 139 (61 male and 78 female) respondents, all of them university students, was asked to grade both lighting installations for the sidewalk light intensity, the appearance of human faces, the colour of light and the colour rendering as well as the overall impression. According to the median values, the 3000 K LED installation was considered better than the 4000 K installation for all aspects assessed as well as the overall impression. Although the survey results convincingly showed a preference for 3000 K LEDs for this comparison, additional research is needed using a more representative sample of people and a wider range of locations before a definite conclusion can be reached. |
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1477-1535 |
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GFZ @ kyba @ |
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2045 |
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Author |
Babadi, S.; Ramirez-Inguiez, R.; Boutaleb, T.; Mallick, T. |
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Title |
Producing uniform illumination within a rectangular area by using a nonimaging optic |
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Journal Article |
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2018 |
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Applied Optics |
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Appl. Opt. |
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57 |
Issue |
31 |
Pages |
9357 |
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Keywords |
Lighting |
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This paper proposes a new design method to create a novel optical element to generate uniform illumination within a rectangular area. Based on this model, an illuminated area is irradiated by two sets of rays; the first one irradiates the target plane after refraction from the top section of the lens, and the second one irradiates from the reflection at the side profile of the lens and then from refraction at the top part of the lens. The results show that a uniformity of over 90% can be achieved. |
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1559-128X |
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GFZ @ kyba @ |
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2046 |
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