| Records |
| Author |
Stanjek, K. |
| Title |
Zwielicht. Die Ökologie der künstlichen Helligkeit. |
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Journal Article |
| Year |
1989 |
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Raben, München |
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170 |
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Animals |
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LoNNe @ kagoburian @ |
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697 |
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| Author |
Outen, A. R. |
| Title |
The ecological effects of road lighting |
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Book Chapter |
| Year |
2002 |
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In: Sherwood, B.R.; Cutler, D. und Burton, J. (Hrsg.): Wildlife and Roads: The Ecological Impact. London |
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133-155 |
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Public Safety; Animals; Conservation |
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LoNNe @ kagoburian @ |
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700 |
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| Author |
Kuechly, H.; Kyba, C.; Hölker, F. |
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Woher kommt das Licht? Räumliche Betrachtung der Lichtverschmutzung |
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Journal Article |
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2013 |
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In: Held, M., Hölker, F. & Jessel, B. (2013) Schutz der Nacht – Lichtverschmutzung, Biodiversität und Nachtlandschaft. – BfN-Skripten |
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336 |
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39-42 |
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Remote Sensing |
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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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898 |
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Fernández Sánchez, J. F.; Barranco R’ios, J.; Naráez Rueda, J. J. |
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Software de Medición Automatizada y Robótica de la Oscuridad del Cielo |
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Conference Article |
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2014 |
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In Libro de actas del XXI Congreso Estatal de Astronom’ia |
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205–209 |
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Remote Sensing |
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LoNNe @ kagoburian @ |
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936 |
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| Author |
Posudin, Y. (n.d.) |
| Title |
Measurement of Light Pollution |
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Journal Article |
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2014 |
Publication |
Methods of Measuring Environmental Parameters |
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368-370 |
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Skyglow |
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Digital photography is based on the conversion of light by sensitive matrix (array of electronic photodetectors) to capture the image which is then digitized and stored as a computer file for further processing and printing. The spectral sensitivity of the cameras is in good agreement with the spectrum of action of the photosensitive hormone melatonin. Digital photography can be used to quantify light pollution acting on the physiology of living organisms. The chapter discusses the principles of spectrophotometry. A portable spectrophotometer for the measurement of light pollution is proposed by Cinzano. It consists of a cooled CCDcamera and a small spectrographic head which is equipped with a De Amici prism composed of two external crown prisms and an inner Flint prism. Sky quality meter (SQM) is a portable photometer for measuring sky brightness and for light pollution monitoring. This device collects the light from a wide solid angle. |
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LoNNe @ kagoburian @ |
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967 |
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