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Proceedings Paper

Visual appearance of wind turbine tower at long range measured using imaging system
Author(s): K. Ove S. Gustafsson; Sebastian Möller
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Paper Abstract

Wind turbine towers affect the visual appearance of the landscape, as an example in the touristic woodland of Dalecarlia, and the fear is that the visual impact will be too negative to the important tourist trade. The landscape analysis, developed by municipalities around Lake Siljan, limited expansion of wind power, due to the strong visual impression of wind turbine towers. In order to facilitate the assessment of the visual impact of towers a view, from Tällberg, over the ring of height on the other side of Lake Siljan, has been photographed every ten minutes for a year (34,727 images, about 65% of the possible number during a year). Four towers are possible to see in the photos, three of them have been used in the assessment of visual impression. This contribution presents a method to assess visibility of wind turbine towers from photographs, describing the measuring situation (location and equipment) as well as the analytical method and results of the analysis. The towers are possible to see in about 48% of analyzed images taken during daytime with the used equipment. During the summer (winter) months the towers were apparent in 49% (46%) of the images. At least one red warning light was possible to see on towers in about 66% of the night images. One conclusion of this work is that the method to assess the visibility within digital photographs and translate it into the equivalent of a normal eye can only provide an upper limit for visibility of an object.

Paper Details

Date Published: 17 October 2013
PDF: 12 pages
Proc. SPIE 8892, Image and Signal Processing for Remote Sensing XIX, 88921Y (17 October 2013); doi: 10.1117/12.2028652
Show Author Affiliations
K. Ove S. Gustafsson, Swedish Defence Research Agency (Sweden)
Sebastian Möller, Swedish Defence Research Agency (Sweden)

Published in SPIE Proceedings Vol. 8892:
Image and Signal Processing for Remote Sensing XIX
Lorenzo Bruzzone, Editor(s)

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