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Author Pritchard, S. B., & Le Gallic, S.
Title Light(s) and Darkness(es): Looking Back, Looking Forward Type Journal Article
Year 2019 Publication Journal of Energy History/Revue d’histoire de l’énergie Abbreviated Journal
Volume Issue Pages
Keywords Society; Art; History
Abstract In this special issue, we argue that light(s) and darkness(es) should be understood in their multiplicity, and that they constitute two aspects of the same phenomenon. They should, therefore, be studied in relation to each other. The complex dynamics of light and dark are more integral to the history of art than other fields, thus offering models for a relational approach to empirical studies beyond this discipline. Drawing on this work, this special issue aims to challenge reductionist frameworks that focus on light alone, without reference to darkness. It explores some of the nuances of light/darkness created by candle, kerosene, oil, gas, and electricity, teasing out the diverse, sometimes contradictory meanings and experiences of light(s) and darkness(es) in the past. It thus aims to study the juxtaposition of light and dark, placing this seeming contrast in dialogue with broader conversations in the history of energy, environmental history, the history of science and technology, as well as the history of representations.
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Call Number IDA @ intern @ Serial (down) 2966
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Author Beyer, R., Chhabra, E., Galdo, V., & Rama M.
Title Measuring Districts’ Monthly Economic Activity from Outer Space Type Journal Article
Year 2018 Publication The World Bank Abbreviated Journal
Volume Issue Pages
Keywords Remote Sensing
Abstract Evening-hour luminosity observed using satellites is a good proxy for economic activity. The strengths of measuring economic activity using nightlight measurements include that the data capture informal activity, are available in near real-time, are cheap to obtain, and can be used to conduct very spatially granular analysis. This paper presents a measure of monthly economic activity at the district level based on cleaned Visible Infrared Imaging Radiometer Suite nightlight and rural population. The paper demonstrates that this new method can shed light on recent episodes in South Asia: first, the 2015 earthquake in Nepal; second, demonetization in India; and, third, violent conflict outbreaks in Afghanistan.
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Call Number IDA @ intern @ Serial (down) 2965
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Author Gălăţanu, C. D., Ashraf, M., Lucache, D. D., Beu, D., & Ciugudeanu, C.
Title OPTICAL UTILIZATION FACTOR FOR ARCHITECTURAL LIGHTING. Type Journal Article
Year 2019 Publication Light & Engineering Abbreviated Journal
Volume 27 Issue 6 Pages 49-57
Keywords Lighting
Abstract Optical utilization factor (OUF) is applied to architectural lighting, searching to obtain low light pollution. It is demonstrated that OUF could not be used for the assessment of light pollution, because the inter-reflections could not be neglected. DIALUX simulations and MATLAB original functions are used. Onsite measurements for illuminance and luminance are performed. It is demonstrated that OUF could be greater than one for the facade. For the small scale inter-reflections, a luminance gain is demonstrated. Due to this, the floodlighting could be reduced. The understanding about the light pollution assessment is changed, which is a major achievement. It means that a greater OUF don't represent a lower light pollution, and also a facade could be more “visible” on lower level of floodlighting.
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Call Number IDA @ intern @ Serial (down) 2964
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Author Kii, M., Kronprasert, N., & Satayopas, B.
Title ESTIMATION OF TRANSPORT DEMAND USING SATELLITE IMAGE: CASE STUDY OF CHIANG MAI, THAILAND Type Journal Article
Year 2020 Publication International Journal of GEOMATE Abbreviated Journal
Volume 18 Issue 69 Pages 111-117
Keywords Remote Sensing
Abstract Transport demand is one of the essential datasets for urban / transport planning and policy development. However, the full size of travel demand survey requires large amount of cost, therefore the survey is merely conducted in developing countries. Their policy decision might be based on the old and limited datasets. In this study we propose a new approach to estimate transport demand using the night-time light satellite image based on the correlation of these two factors. Taking the case of Chiang Mai Metropolitan area, we found a soft relationship between the night-time light intensity and trip generation/trip attraction. Transport survey data is provided by Chiang Mai University for the year 2016. NOAA provides cloud free monthly composite of night-time light satellite image (VIIRS-DNB) by Suomi-NPP satellite of which resolution is 15 arc-second (about 500m by 500m at equator). It is spatially more precise than zones of travel demand survey and monthly frequency. Applying the relationship between transport demand and night-time light intensity, we propose a method to update the transport demand with higher spatial resolution.
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Language Summary Language Original Title
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Call Number IDA @ intern @ Serial (down) 2963
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Author Zhao, M., Zhou, Y., Li, X., Zhou, C., Cheng, W., Li, M., & Huang, K.
Title Building a Series of Consistent Night-Time Light Data (1992–2018) in Southeast Asia by Integrating DMSP-OLS and NPP-VIIRS Type Journal Article
Year 2020 Publication IEEE Transactions on Geoscience and Remote Sensing Abbreviated Journal
Volume 58 Issue 3 Pages 1843-1856
Keywords Remote Sensing
Abstract Satellite-derived nighttime light (NTL) data from the Defense Meteorological Satellite Program's Operational Linescan System (DMSP-OLS) and the Suomi National Polar-orbiting Partnership Visible Infrared Imaging Radiometer Suite (NPP-VIIRS) have been extensively used for monitoring human activities and urbanization processes. Differences of these two datasets in their spatial and radiometric properties make it difficult for a temporally consistent analysis using these two datasets together. In this article, we developed a new approach to integrate these two datasets and generated a temporally consistent NTL dataset from 1992 to 2018. First, we performed the pixel-level spatial resampling of VIIRS data using a kernel density method after preprocessing the raw VIIRS data. Second, we conducted a logarithmic transformation of the aggregated VIIRS data. Third, we proposed a sigmoid function between DMSP and processed VIIRS data to characterize their relationship. Using the proposed method, we generated a series of consistent DMSP NTL data in Southeast Asia from 1992 to 2018 and analyzed the dynamic of resulted NTL at different scales. The evaluations based on profile curves, spatial patterns, scatter correlations, and histograms, of NTLs, indicate that our approach can achieve a good agreement between DMSP and simulated DMSP data in the same year. Our approach offers the potential for generating a time series of global DMSP NTL data from 1992 to present, which can contribute a more continuous and consistent monitoring of human activities and a better understanding of the urbanization process.
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Call Number IDA @ intern @ Serial (down) 2962
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