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Author Skibba, R. A.; Bamford, S. P.; Nichol, R. C.; Lintott, C. J.; Andreescu, D.; Edmondson, E. M.; et al.
Title Skibba, R. A., Bamford, S. P., Nichol, R. C., Lintott, C. J., Andreescu, D., Edmondson, E. M., … others. (2009). Galaxy Zoo: disentangling the environmental dependence of morphology and colour. Type Journal Article
Year 2009 Publication Monthly Notices of the Royal Astronomical Society Abbreviated Journal
Volume (down) 399 Issue 2 Pages 966–982
Keywords Remote Sensing
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Call Number LoNNe @ kagoburian @ Serial 971
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Author Wang, X.; Liu, G.; Coscieme, L.; Giannetti, B.F.; Hao, Y.; Zhang, Y.; Brown, M.T.
Title Study on the emergy-based thermodynamic geography of the Jing-Jin-Ji region: Combined multivariate statistical data with DMSP-OLS nighttime lights data Type Journal Article
Year 2019 Publication Ecological Modelling Abbreviated Journal Ecological Modelling
Volume (down) 397 Issue Pages 1-15
Keywords Remote Sensing
Abstract Emergy analysis is one of the ecological thermodynamics methods. With a specific set of indicators, it is proved to be highly informative for sustainability assessment of national/regional economies. However, a large amount of data needed for its calculation are from official statistical data by administrative divisions. The spatialization of emergy in early researches were limited to the administrative boundaries. The emergy inside an administrative boundary renders a single value, which hides plenty of information for more precise regional planning.

This study develops a new methodology for mapping the spatial distribution of emergy density of a region. The renewable resource distribution can be mapped based on latest geospatial datasets and GIS technology, instead of solely relying on statistics and yearbooks data. Besides, a new spatialization method of non-renewable emergy based on DMSP-OLS nighttime lights data is proposed. Combined with the radiation calibration data, the problem of light saturation of DMSP-OLS nighttime lights data was solved to improve the emergy spatial detail of city centers. With a case study of Jing-Jin-Ji region, results showed that this method could generate a high-resolution map of emergy use, and depict human disturbance to the environment in a more precise manner. This may provide supportive information for more precise land use planning, strategic layout and policy regulation, and is helpful for regional sustainable development.
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ISSN 0304-3800 ISBN Medium
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Call Number GFZ @ kyba @ Serial 2192
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Author Bamford, S.P.; Nichol, R.C.; Baldry, I.K.; Land, K.; Lintott, C.J.; Schawinski, K.; Slosar, A.; Szalay, A.S.; Thomas, D.; Torki, M.; Andreescu, D.; Edmondson, E.M.; Miller, C.J.; Murray, P.; Raddick, M.J.; Vandenberg, J.
Title Galaxy Zoo: the dependence of morphology and colour on environment Type Journal Article
Year 2009 Publication Monthly Notices of the Royal Astronomical Society Abbreviated Journal
Volume (down) 393 Issue 4 Pages 1324-1352
Keywords Remote Sensing
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ISSN 0035-8711 ISBN Medium
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Call Number LoNNe @ kagoburian @ Serial 902
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Author Jean, N.; Burke, M.; Xie, M.; Davis, W.M.; Lobell, D.B.; Ermon, S.
Title Combining satellite imagery and machine learning to predict poverty Type Journal Article
Year 2016 Publication Science Abbreviated Journal Science
Volume (down) 353 Issue 6301 Pages 790-794
Keywords Remote Sensing
Abstract Nighttime lighting is a rough proxy for economic wealth, and nighttime maps of the world show that many developing countries are sparsely illuminated. Jean et al. combined nighttime maps with high-resolution daytime satellite images (see the Perspective by Blumenstock). With a bit of machine-learning wizardry, the combined images can be converted into accurate estimates of household consumption and assets, both of which are hard to measure in poorer countries. Furthermore, the night- and day-time data are publicly available and nonproprietary.
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ISSN 0036-8075 ISBN Medium
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Call Number LoNNe @ kyba @ Serial 1507
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Author Kuechly, H.; Kyba, C.; Hölker, F.
Title Woher kommt das Licht? Räumliche Betrachtung der Lichtverschmutzung Type Journal Article
Year 2013 Publication In: Held, M., Hölker, F. & Jessel, B. (2013) Schutz der Nacht – Lichtverschmutzung, Biodiversität und Nachtlandschaft. – BfN-Skripten Abbreviated Journal
Volume (down) 336 Issue Pages 39-42
Keywords Remote Sensing
Abstract In der Nacht ist die künstliche Beleuchtung eines der deutlichsten Kennzeichen für menschliche Aktivität auf der Erde. Wie bei vielen anderen anthropogenen Umweltveränderungen sind auch bei der künstlichen Beleuchtung die unmittelbaren Vorteile weit offensichtlicher als ihre unerwünschten Nebenwirkungen. Auch wenn über ein Drittel der Menschen in Deutschland die Milchstraße noch nie mit eigenen Augen gesehen hat (Emnid & PM Magazin 2002), sind sich nur wenige der Nachteile der künstlichen Beleuchtung bewusst. Daher verwundert es nicht, dass trotz energieeffizienterer Technologien die Kosten für die künstliche Beleuchtung nicht zurückgegangen sind–vielmehr werden heute immer mehr Straßen und Wege, Gärten und Gebäude beleuchtet.

Aber woher kommt das Licht genau? Lichtquellen und Lichtintensitäten, die Verteilung und die zeitliche Veränderung von Lichtemissionen lassen sich sehr gut mittels räumlicher Datenerhebung identifizieren, darstellen und analysieren. Dieser Beitrag gibt einen kurzen Überblick über die Verfahren und diskutiert Möglichkeiten zur Quantifizierung von Lichtverschmutzung.
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Call Number LoNNe @ kagoburian @ Serial 898
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