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Author Van Tichelen, P.; Geerken, T.; Jansen, B.; Bosch, M. Vanden; Van Hoof, V.; Vanhooydonck, L.; Vercalsteren, A.
Title Final Report Lot 9: Public street lighting. Type Journal Article
Year 2007 Publication (up) Abbreviated Journal
Volume Issue Pages
Keywords Remote Sensing
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Notes Approved no
Call Number LoNNe @ kagoburian @ Serial 979
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Author Ceola, S.; Montanari, A.; Parajka, J.; Viglione, A.; Blöschl, G.; Laio, F.
Title Human signatures derived from nighttime lights along the Eastern Alpine river network in Austria and Italy Type Conference Article
Year 2016 Publication (up) Abbreviated Journal
Volume Issue Pages
Keywords Remote Sensing; Society; nightlights; human presence; river network; Strahler order; DMSP-OLS; OLS; DMSP-OLS; Austria; Italy; Eastern Alpine
Abstract Understanding how human settlements and economic activities are distributed with reference to the geographical location of streams and rivers is of fundamental relevance for several issues, such as flood risk management, drought management related to increased water demands by human population, fluvial ecosystem services, water pollution and water exploitation. Besides the spatial distribution, the evolution in time of the human presence constitutes an additional key question. This work aims at understanding and analysing the spatial and temporal evolution of human settlements and associated economic activity, derived from nighttime lights, in the Eastern Alpine region. Nightlights, available at a fine spatial resolution and for a 22-year period, constitute an

excellent data base, which allows one to explore in details human signatures. In this experiment, nightlights are associated to five distinct distance-from-river classes. Our results clearly point out an overall enhancement of human presence across the considered distance classes during the last 22 years, though presenting some differences among the study regions. In particular, the river network delineation, by considering different groups of river pixels based on the Strahler order, is found to play a central role in the identification of nightlight spatio-temporal trends.
Address Dipartimento di Ingegneria Civile, Chimica, Ambientale e dei Materiali, Università di Bologna, Bologna, Italy
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Publisher International Association of Hydrological Sciences Place of Publication Editor
Language English Summary Language English Original Title
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Area Expedition Conference 7th International Water Resources Management Conference of ICWRS, 18–20 May 2016, Bochum, Germany
Notes Approved no
Call Number IDA @ john @ Serial 1432
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Author Campaign to Protect Rural England
Title Night Blight: Mapping England’s light pollution and dark skies Type Report
Year 2016 Publication (up) Abbreviated Journal
Volume Issue Pages
Keywords Skyglow; Remote Sensing; Artificial light at night; United Kingdom; Great Britain
Abstract We can now present the most accurate ever picture of how much light is spilling up into Britain’s night skies. Detailed interactive maps have been created for England

showing districts, counties, National Parks and Areas of Outstanding Natural Beauty (AONBs) and, at a wider scale, National Character Areas. Besides these, there are high-level maps available for Scotland and Wales, so that we can now

present the most accurate ever picture of how much light is spilling up into Britain’s night sky.
Address Campaign to Protect Rural England, 5-11 Lavington Street, London SE1 0NZ, United Kingdom; info(at)cpre.org.uk
Corporate Author Thesis
Publisher Campaign to Protect Rural England Place of Publication Editor
Language English Summary Language English Original Title
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Notes Approved no
Call Number IDA @ john @ Serial 1468
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Author Martinez, L. R.
Title How Much Should We Trust the Dictator's GDP Estimates? Type Journal Article
Year 2018 Publication (up) Abbreviated Journal SSRN
Volume Issue Pages
Keywords Economics; Remote Sensing
Abstract I study the manipulation of GDP statistics in weak and non-democracies. I show that the elasticity of official GDP figures to nighttime lights is systematically larger in more authoritarian regimes. This autocracy gradient in the night-lights elasticity of GDP cannot be explained by differences in a wide range of factors that may affect the mapping of night lights to GDP, such as economic structure, statistical capacity, rates of urbanization or electrification. The gradient is larger when there is a stronger incentive to exaggerate economic performance (years of low growth, before elections or after becoming ineligible for foreign aid) and is only present for GDP sub-components that rely on government information and have low third-party verification. The results indicate that yearly GDP growth rates are inflated by a factor of between 1.15 and 1.3 in the most authoritarian regimes. Correcting for manipulation substantially changes our understanding of comparative economic performance at the turn of the XXI century.
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Notes Approved no
Call Number GFZ @ kyba @ Serial 1926
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Author Bergs, R.; Issa, M.
Title What do night satellite images and small-scale grid data tell us about functional changes in the rural-urban environment and the economy? Case studies Frankfurt-Rhein/Main and Ljubljana Urban Region Type Journal Article
Year 2018 Publication (up) Abbreviated Journal
Volume Issue Pages
Keywords Remote Sensing
Abstract This study addresses how nocturnal satellite imagery can be used in spatial analysis of rural-urban relations. It shows how a novel approach can be used to complement the prevalent traditional survey methods below the data resolution level of official regional statistics. The overarching aim is to contribute with a novel database and different empirical tools to broaden spatial information for decision-making in policy and planning at small spatial scale amongst municipalities. The accuracy of spatial information is expected to be substantially enhanced, paving ways for better rural-urban planning coordination and synergies.
Address
Corporate Author PRAC - Bergs & Issa Partnership Co. , Im Hopfengarten 19b, D - 65812 Bad Soden, Germany Thesis
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Notes Approved no
Call Number GFZ @ kyba @ Serial 2047
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