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Titlebook: Resilient Cities; Cities and Adaptatio Konrad Otto-Zimmermann Conference proceedings 2011 Springer Science+Business Media B.V. 2011 Cities.

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2211-2782 originally presented at the Resilient Cities 2010 Congress. .in Bonn, Germany (May 2010), the first global forum on cities and adaptation to climate change, convened by ICLEI – Local Governments for Sustainabil978-94-007-3612-2978-94-007-0785-6Series ISSN 2211-2782 Series E-ISSN 2211-2790
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Conference proceedings 2011in the fight against climate change. .This book has its origins in a collection of papers originally presented at the Resilient Cities 2010 Congress. .in Bonn, Germany (May 2010), the first global forum on cities and adaptation to climate change, convened by ICLEI – Local Governments for Sustainabil
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best results across all of the statistics. Furthermore, direct conversion from the original vector map to raster format at the desired cell size was found to give better results than resampling to the desired cell size from a different cell size. We also tested the effect of changing spatial resolut
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ed for reasons that are not well understood. The mass-density in a one-dimensional string can be constructed from the measurements of all eigenfrequencies of that string [.], but due to the symmetry of this problem only the even part of the mass-density can be determined. If the seismic velocity in
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Lucinda Fairhurstf a preliminary fast estimate of the areas mainly impacted can support a suitable selection of the very high spatial resolution (VHSR) satellite images acquisition time because these sensors are characterized by a very small frame size that makes unpractical a blind acquisition of the whole region p
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Diana Reckien,Martin Wildenberg,Kaushik Debd forecasting the risks of climatic impacts on the territory (useful for the management/planning of projects by the bodies in charge). In the specific case, these forecasts will be useful both in the safety sector (allowing to foresee possible floods, and consequently allowing to plan the possible c
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Oleksandr Kit,Matthias Lüdeke,Diana Reckiency for the main land-cover classes (conifers, broadleaved trees, grasslands, bare ground, and water), e.g. producer’s and user’s accuracy higher than 92% and 95%, respectively. Conversely, forest canopy gaps were classified with lower accuracy, e.g. minimum producer’s and user’s accuracies of 75% an
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Mario Wilhelmcy for the main land-cover classes (conifers, broadleaved trees, grasslands, bare ground, and water), e.g. producer’s and user’s accuracy higher than 92% and 95%, respectively. Conversely, forest canopy gaps were classified with lower accuracy, e.g. minimum producer’s and user’s accuracies of 75% an
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