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Author Li, P.; Zhang, H.; Wang, X.; Song, X.; Shibasaki, R.
Title A spatial finer electric load estimation method based on night-light satellite image Type Journal Article
Year 2020 Publication Energy Abbreviated Journal Energy
Volume 209 Issue Pages 118475
Keywords Remote Sensing
Abstract As a fundamental parameter of the electric grid, obtaining spatial electric load distribution is the premise and basis for numerous studies. As a public, world-wide, and spatialized dataset, NPP/VIIRS night-light satellite image has been long used for socio-economic information estimation, including electric consumption, while little attention has been given to the electric load estimation. Additionally, most of the previous studies were performed at a large spatial scale, which could not reflect the electric information inner a city. Therefore, this paper proposes a method to estimate electric load density at a township-level spatial scale based on NPP/VIIRS night-light satellite data. Firstly, we reveal the different fitting relationships between EC (Electric Consumption)-NLS (Night-Light Sum) and EL (Electric Load)-NLI (Night-Light Intensity). Then, we validated the spatial-scale’s influence on the estimation accuracy by experiment via generating a series of simulated datasets. After working out the super-resolution night-light image with the SRCNN (Super-Resolution Convolutional Neural Network) algorithm, we established a finer spatial estimation model. By taking a monthly data of Shanghai as a case study, we validate the model we established. The result shows that estimating electric load at township-level based on night-light satellite data is feasible, and the SRCNN algorithm can improve the performance.
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Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0360-5442 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial (down) 3068
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Author Jiang, Z.; Zhai, W.; Meng, X.; Long, Y.
Title Identifying Shrinking Cities with NPP-VIIRS Nightlight Data in China Type Journal Article
Year 2020 Publication Journal of Urban Planning and Development Abbreviated Journal J. Urban Plann. Dev.
Volume 146 Issue 4 Pages 04020034
Keywords Remote Sensing
Abstract Although there has been a rapid urbanization in China since the 1980s, the simultaneous urban shrinkage phenomenon has existed for a long time. The study of shrinking cities is particularly important for China as the current urban development has changed from physical expansion to built-up area improvement. After redefining what constitutes a city (what we term a natural city), we compared the adjusted nightlight intensity of National Polar-orbiting Partnership Visible Infrared Imaging Radiometer Suite (NPP-VIIRS) data between 2013 and 2016 to accurately identify shrinking cities throughout China. The results indicate that there are 2,862 redefined natural cities in China and that the total area reaches 53,275 km2, about 0.5% of the national territory. Based on this, we identified 798 shrinking cities with a total area of 13,839 km2. After analyzing the relative position of shrinking cities and internal shrinking pixels in the geometric space, the morphological characteristics of shrinking cities were systematically classified into six patterns. The majority of shrinking cities belong to scatter shrinkage, central shrinkage, and local shrinkage; only 5% are complete shrinkage; the rest are unilateral shrinkage and peripheral shrinkage. In addition, six shrinkage causes were quantitatively classified and summarized by referring to multiple-source urban data and municipal yearbooks. To enrich the methodological system for urban shrinkage, the research provides a reminder of the need to consider the other side of urbanization (i.e., dissolution of social networks) and proposes appropriate strategies and policies to address shrinkage issues.
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Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0733-9488 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial (down) 3065
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Author Joachim, L.; Storch, T.
Title Cloud Detection For Night-Time Panchromatic Visible And Near-Infrared Satellite Imagery Type Journal Article
Year 2020 Publication ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences Abbreviated Journal ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.
Volume V-2-2020 Issue Pages 853-860
Keywords Instrumentation; Remote Sensing
Abstract Cloud detection for night-time panchromatic visible and near-infrared (VNIR) satellite imagery is typically performed based on synchronized observations in the thermal infrared (TIR). To be independent of TIR and to improve existing algorithms, we realize and analyze cloud detection based on VNIR only, here NPP/VIIRS/DNB observations. Using Random Forest for classifying cloud vs. clear and focusing on urban areas, we illustrate the importance of features describing a) the scattering by clouds especially over urban areas with their inhomogeneous light emissions and b) the normalized differences between Earth’s surface and cloud albedo especially in presence of Moon illumination. The analyses substantiate the influences of a) the training site and scene selections and b) the consideration of single scene or multi-temporal scene features on the results for the test sites. As test sites, diverse urban areas and the challenging land covers ocean, desert, and snow are considered. Accuracies of up to 85% are achieved for urban test sites.
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Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2194-9050 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial (down) 3064
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Author Liu, H.; Ma, L.; Xu, L.
Title Estimating spatiotemporal dynamics of county-level fossil fuel consumption based on integrated nighttime light data Type Journal Article
Year 2020 Publication Journal of Cleaner Production Abbreviated Journal Journal of Cleaner Production
Volume in press Issue Pages 123427
Keywords Remote Sensing
Abstract Rapid urbanization has resulted in increased fossil fuel consumption in China, which is closely related to regional sustainable development and CO2 emissions. This study proposed an improved model to estimate fossil fuel consumption on the county scale in Shandong to understand the dynamics of fossil fuel consumption. This improved model is beneficial for establishing energy-saving and CO2 emission reduction policies for both Shandong and other regions in China. Because of the lack of data on a county scale, this study applied panel data analysis from 1992 to 2017 by integrating the Defense Meteorological Satellite Program’s Operational Linescan System (DMSP-OLS) and NPP-VIIRS (Suomi National Polar-Orbiting Partnership satellite with the Visible Infrared Imaging Radiometer Suit) nighttime light data. Results showed that (1) The new method performed better than previous methods on estimating fossil fuel consumption; (2) Fossil fuel consumption has been rapidly growing in all cities and most districts and counties, mainly concentrated in west and east central Shandong; (3) Regions with high fossil fuel consumption shifted from west central Shandong to east central on the city level, and expanded from the east central to the entire central region on the county level; (4) In regions with a lower level of development, fossil fuel consumption tended to grow faster. These results will improve the understanding of fossil fuel consumption over the long term on county scales, and are beneficial for creating policies on regional energy savings and CO2 emission reduction.
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Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0959-6526 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial (down) 3060
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Author Schröter-Schlaack, C.; Schulte-Römer, N.; Revermann, C.
Title Lichtverschmutzung – Ausmaß, gesellschaftliche und ökologische Auswirkungen sowie Handlungsansätze Type Report
Year 2020 Publication Abbreviated Journal
Volume 186 Issue Pages 1-200
Keywords Review; Skyglow; Ecology; Human Health; Lighting; Public Safety; Remote Sensing
Abstract Künstliches Licht kann als eine der größten technischen Errungenschaften der Menschheit angesehen werden, die erhebliche Veränderungen bzw. Fortschritte der Arbeits- und Lebensweisen ermöglichen. Mit künstlicher Beleuchtung wird aber auch der natürliche Rhythmus von Tag und Nacht verändert und damit das Gesamtgefüge des Naturhaushaltes und der Nachtlandschaft transformiert. Ein natürlich dunkler Nachthimmel ist in Deutschland selten geworden. Licht-glocken über urbanen Gebieten sind weit weg von ihrem Entstehungsort in unbeleuchteten Gebieten noch sichtbar und lassen Sterne und die Milchstraße unkenntlich werden. Nicht nur das direkte elektrische Licht erleuchtet unsere Umwelt, sondern auch der nach oben abgestrahlte und reflektierte Teil des Lichts. Schichten der Atmosphäre, Staub oder Wassertropfen reflektieren und streuen das Licht. Dieser auch als Skyglow bezeichnete Effekt bewirkt eine zusätzliche Erhellung. Neben dieser künstlich erhöhten Himmelshelligkeit kann Licht auch die direkte Umgebung ungewollt aufhellen oder durch Blendung das Sehen einschränken. Licht ist ein wichtiger externer Zeitgeber für die innere Uhr der Lebewesen, an dessen natürlichen Rhythmus sich Menschen, Tiere und Pflanzen über Jahrhunderte angepasst haben. So wird vermutet, dass die permanent und periodisch veränderten Lichtverhältnisse durch zunehmende künstliche Beleuchtung negative Auswirkungen auf die menschliche Gesundheit haben und ebenso zu ökologischen Beeinträchtigungen führen.All diese nichtintendierten Wirkungen der künstlichen Beleuchtung werden unter dem Sammelbegriff Lichtverschmutzung verstanden. Lichtverschmutzung ist hier definiert als unerwünschte Wirkung künstlicher Beleuchtung im Außenbereich, also das Licht, das räumlich (Richtung und Fläche), zeitlich (Tages- und Jahreszeit, Dauer, Periodizität) oder in der Intensität oder spektralen Zusammensetzung (z.B. Ultraviolett- oder Blauanteil) über den reinen Beleuchtungszweck hinaus nicht beabsichtigte Auswirkungen hat (Kuechly et al. 2018). Mit dem vorliegenden Bericht werden der wissenschaftliche Erkenntnis-stand im Hinblick auf Umfang und Trends der Lichtverschmutzung sowie ihre wirtschaftlichen und soziokulturellen, humanmedizinischen und ökologischen Wirkungen zusammengefasst. Auf Basis dieser Erkenntnisse und aktueller beleuchtungstechnologischer und lichtplanerischer Möglichkeiten werden Handlungsoptionen abgeleitet, die eine Verringerung der Lichtverschmutzung bei gleichzeitiger Berücksichtigung der nutzbringenden Ziele der Beleuchtung unterstützen können.
Address
Corporate Author Thesis
Publisher Büro für Technikfolgen-Abschätzung beim Deutschen Bundestag (TAB) Place of Publication Editor
Language German Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number GFZ @ kyba @ Serial (down) 3058
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