| Records |
| Author |
Falchetta, G.; Pachauri, S.; Parkinson, S.; Byers, E. |
Title  |
A high-resolution gridded dataset to assess electrification in sub-Saharan Africa |
Type |
Journal Article |
| Year |
2019 |
Publication |
Scientific Data |
Abbreviated Journal |
Sci Data |
| Volume |
6 |
Issue |
1 |
Pages |
110 |
| Keywords |
Remote Sensing |
| Abstract |
Spatially explicit data on electricity access and use are essential for effective policy-making and infrastructure planning in low-income, data-scarce regions. We present and validate a 1-km resolution electricity access dataset covering sub-Saharan Africa built on gridded nighttime light, population, and land cover data. Using light radiance probability distributions, we define electricity consumption tiers for urban and rural areas and estimate the by-tier split of consumers living in electrified areas. The approach provides new insight into the spatial distribution and temporal evolution of electricity access, and a measure of its quality beyond binary access. We find our estimates to be broadly consistent with recently published province- and national-level statistics. Moreover, we demonstrate consistency between the estimated electricity access quality indicators and survey-based consumption levels defined in accordance with the World Bank Multi-Tier Framework. The dataset is readily reproduced and updated using an open-access scientific computing framework. The data and approach can be applied for improving the assessment of least-cost electrification options, and examining links between electricity access and other sustainable development objectives. |
| Address |
Energy Program, International Institute for Applied Systems Analysis (IIASA), Schossplatz 1, 2361, Laxenburg, Austria |
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English |
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2052-4463 |
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PMID:31270329; PMCID:PMC6610126 |
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no |
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GFZ @ kyba @ |
Serial |
2559 |
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| Author |
Gould, G.M. |
| Title |
A hitherto undescribed visual phenomenon |
Type |
Journal Article |
| Year |
1903 |
Publication |
Science |
Abbreviated Journal |
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| Volume |
18 |
Issue |
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Pages |
536-537 |
| Keywords |
Vision; Psychology |
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no |
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GFZ @ kyba @ |
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2408 |
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Wakil, K., Naeem, M. A., Anjum, G. A., Waheed, A., Thaheem, M. J., ul Hussnain, M. Q., & Nawaz, R. |
| Title |
A Hybrid Tool for Visual Pollution Assessment in Urban Environments |
Type |
Journal Article |
| Year |
2019 |
Publication |
Sustainability |
Abbreviated Journal |
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| Volume |
11 |
Issue |
8 |
Pages |
1-16 |
| Keywords |
Planning |
| Abstract |
With increasing focus on more nuanced aspects of quality of life, the phenomenon of urban visual pollution has been progressively gaining attention from researchers and policy makers, especially in the developed world. However, the subjectivity and complexity of assessing visual pollution in urban settings remain a challenge, especially given the lack of robust and reliable methods for quantification of visual pollution. This paper presents a novel systematic approach for the development of a robust Visual Pollution Assessment (VPA) tool. A key feature of our methodology is explicit and systematic incorporation of expert and public opinion for listing and ranking Visual Pollution Objects (VPOs). Moreover, our methodology deploys established empirical complex decision-making techniques to address the challenge of subjectivity in weighting the impact of individual VPOs. The resultant VPA tool uses close-ended options to capture the presence and characteristics of various VPOs on a given node. Based on these inputs, it calculates a point based visual pollution scorecard for the observation point. The performance of the VPA tool has been extensively tested and verified at various locations in Pakistan. To the best of our knowledge, this is the first such tool, both in terms of quantitative robustness and broad coverage of VPOs. Our VPA tool will help regulators in assessing and charting visual pollution in a consistent and objective manner. It will also help policy makers by providing an empirical basis for gathering evidence; hence facilitating evidence-based and evidence-driven policy strategies, which are likely to have significant impact, especially in the developing countries. |
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IDA @ intern @ |
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2344 |
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| Author |
Dobler, G.; Ghandehari, M.; Koonin, S.E.; Sharma, M.S. |
| Title |
A Hyperspectral Survey of New York City Lighting Technology |
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Journal Article |
| Year |
2016 |
Publication |
Sensors (Basel, Switzerland) |
Abbreviated Journal |
Sensors (Basel) |
| Volume |
16 |
Issue |
12 |
Pages |
2047 |
| Keywords |
Remote Sensing; Instrumentation; Lighting |
| Abstract |
Using side-facing observations of the New York City (NYC) skyline, we identify lighting technologies via spectral signatures measured with Visible and Near Infrared (VNIR) hyperspectral imaging. The instrument is a scanning, single slit spectrograph with 872 spectral channels from 0.4-1.0 mu m. With a single scan, we are able to clearly match the detected spectral signatures of 13 templates of known lighting types. However, many of the observed lighting spectra do not match those that have been measured in the laboratory. We identify unknown spectra by segmenting our observations and using Template-Activated Partition (TAP) clustering with a variety of underlying unsupervised clustering methods to generate the first empirically-determined spectral catalog of roughly 40 urban lighting types. We show that, given our vantage point, we are able to determine lighting technology use for both interior and exterior lighting. Finally, we find that the total brightness of our scene shows strong peaks at the 570 nm Na – II , 595 nm Na – II and 818 nm Na – I lines that are common in high pressure sodium lamps, which dominate our observations. |
| Address |
NYU Center for Urban Science and Progress, 1 MetroTech Center, Brooklyn, NY 11201, USA. mohit.sharma@nyu.edu |
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English |
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1424-8220 |
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PMID:27929391 |
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no |
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LoNNe @ kyba @ |
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1567 |
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Riley, W.D.; Davison, P.I.; Maxwell, D.L.; Newman, R.C.; Ives, M.J. |
| Title |
A laboratory experiment to determine the dispersal response of Atlantic salmon (Salmo salar) fry to street light intensity |
Type |
Journal Article |
| Year |
2015 |
Publication |
Freshwater Biology |
Abbreviated Journal |
Freshw Biol |
| Volume |
60 |
Issue |
5 |
Pages |
1016–1028 |
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0046-5070 |
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no |
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LoNNe @ christopher.kyba @ |
Serial |
1142 |
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