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26 August 2020 Planning and engagement arenas for renewable energy landscapes, Paros Island example
Christos Kontopoulos, María Angeles Barral, Alba Ruiz, María-José Prados, Sofia Fidani, Georgios Tsakoumis, Vasiliki Charalampopoulou
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Proceedings Volume 11524, Eighth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2020); 1152416 (2020) https://doi.org/10.1117/12.2571843
Event: Eighth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2020), 2020, Paphos, Cyprus
Abstract
As an innovation research action in the spatial planning and in the social innovation arena for Renewable Energy Landscapes (REL), the Planning And Engagement Arenas For Renewable Energy Landscapes (PEARLS) project will reinforce the population’s commitment to secure, clean and efficient energy. REL focus on the change of the population’s relationship with energy and their landscape perception. Paros, Greek Cycladic island as a “isolated piece of land” was selected to investigate several aspects for REL. Paros has wind parks infrastructure establishments, active and inactive. Also, the administrative authorities are “on hold” in several areas, since the infrastructure is outdated and no studies for noise pollution and “line of sight” viewing have been executed. The 3D monitoring of the established infrastructure and 3D GIS techniques highlight the crucial necessity for studies, before any wind parks establishment. PEARLS project, in general, will bring a step change to the way that REL are addressed and monitored before, during and after their establishment, by providing crucial support for the Pan-European Energy Challenge.
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Christos Kontopoulos, María Angeles Barral, Alba Ruiz, María-José Prados, Sofia Fidani, Georgios Tsakoumis, and Vasiliki Charalampopoulou "Planning and engagement arenas for renewable energy landscapes, Paros Island example", Proc. SPIE 11524, Eighth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2020), 1152416 (26 August 2020); https://doi.org/10.1117/12.2571843
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KEYWORDS
Wind turbine technology
Visualization
Renewable energy
Wind energy
Databases
Geographic information systems
Raster graphics
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