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Author Katz, Y.; Levin, N. url  doi
openurl 
  Title Quantifying urban light pollution -- A comparison between field measurements and EROS-B imagery Type Journal Article
  Year 2016 Publication Remote Sensing of Environment Abbreviated Journal Remote Sensing of Environment  
  Volume (down) 177 Issue Pages 65-77  
  Keywords Remote Sensing; Skyglow  
  Abstract  
  Address  
  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 0034-4257 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number LoNNe @ kyba @ Serial 1359  
Permanent link to this record
 

 
Author Kotarba, A.Z.; Aleksandrowicz, S. url  doi
openurl 
  Title Impervious surface detection with nighttime photography from the International Space Station Type Journal Article
  Year 2016 Publication Remote Sensing of Environment Abbreviated Journal Remote Sensing of Environment  
  Volume (down) 176 Issue Pages 295-307  
  Keywords Remote Sensing  
  Abstract For over two decades nighttime satellite imagery from the Operational Linescan System (OLS) has been used to detect impervious surfaces. However, OLS-based maps suffer from the sensor's coarse resolution (2.7 km/pixel), overglow, and saturation in urban areas, resulting in inaccurate estimates of the extent and degree of impervious surfaces. In order to provide more reliable estimates of impervious surface extent, we used high resolution (~ 10 m/pixel) nighttime photography from the International Space Station (ISS). Focusing on the city of Berlin in Germany, we produced a map of the extent of impervious surfaces. Our classification was 85% accurate for both user and producer measures. Impervious surfaces omitted by ISS photography were mainly transit roads and airport runways, while green areas and water bodies within the city were falsely identified. An analysis based on ISS imagery classified 55.7% of the study area as impervious, which is only 3.9% less than ground truth (while the OLS-based estimate was 40% higher than ground truth). ISS imagery failed to provide reliable information about the degree of imperviousness for individual pixels (± 20% errors); nevertheless it accurately estimated the spatially-averaged degree of imperviousness for the whole study area (30.2% vs. the reference value of 30.1%). These results show that ISS photography is an important source of nighttime imagery for mapping the extent of impervious surfaces, and represents a considerable improvement over OLS capabilities.  
  Address  
  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 0034-4257 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number LoNNe @ kyba @ Serial 1356  
Permanent link to this record
 

 
Author Kienast, F.; Weiss, M. url  doi
openurl 
  Title Wie Lichtemissionen den Schweizer Wald seit 1992 erhellen Type Journal Article
  Year 2019 Publication Schweizerische Zeitschrift fur Forstwesen Abbreviated Journal Schweizerische Zeitschrift fur Forstwesen  
  Volume (down) 170 Issue 1 Pages 18-23  
  Keywords Remote Sensing  
  Abstract How light emissions have been lighting up the Swiss forest since 1992

Light emissions increasingly light up the night sky. Worldwide and in Switzerland, there has been a marked increase over the last 20 to 30 years. This is problematic for biological-ecological and health reasons as well as for cultural reasons. At federal and cantonal level, there are various laws and technical standards governing light emissions. In order to monitor the success of these regulations, it is important to observe night-time brightness over longer periods and within larger areas. In Switzerland, this is done within the framework of the Swiss Landscape Observatory (LABES), which provides time series for night-time observations for the years 1992 to 2012. The present work uses satellite images to investigate the extent to which the Swiss forests are lighted up by nocturnal emissions from surrounding residential areas and infrastructures. It also examines the differences between the forest and open land (meadows, fields and remote areas far away from settlements above the treeline) and how the forested area without any detectable artificial light developed between 1992 and 2012. It is shown that the Swiss forests are more and more lighted up by surrounding light sources. With the exception of the Jura, night-time brightness in forest areas is even higher than in open land, which in the present study is dominated by areas above the treeline. The results can be explained by the relative proximity of the forest to residential areas. On the Plateau the last patch of forest without any detectable artificial light during the night disappeared in 2001, and in the Jura mountains in 2010: in the Alps there are still between 4% (Western Central Alps) and 16% (Southern Alps) forest areas without any detectable artificial light during night time. The last large dark areas are, however, not found in the forested area, but in the areas above the treeline. They should be given adequate protection against illumination, for example with large protection areas (“dark sky parks”).

Wie Lichtemissionen den Schweizer Wald seit 1992 erhellen

Lichtemissionen erhellen den Nachthimmel immer mehr. Weltweit und in der Schweiz ist in den letzten 20 bis 30 Jahren eine starke Zunahme festzustellen. Dies ist sowohl aus biologisch-ökologischen und gesundheitlichen als auch aus kulturellen Gründen problematisch. Auf Bundes- und Kantonsebene gibt es verschiedene Gesetze und technische Normen, welche die Lichtemissionen regeln. Für die Erfolgskontrolle dieser Vorschriften ist es wichtig, die Nachthelligkeit über längere Zeiträume und grössere Gebiete zu beobachten. Dies geschieht in der Schweiz im Rahmen der Landschaftsbeobachtung Schweiz (LABES), die für die Jahre 1992 bis 2012 Zeitserien zur Nachthelligkeit zur Verfügung stellt. In der vorliegenden Arbeit wird anhand von Satellitenbildern untersucht, wie stark der Schweizer Wald durch Lichtemissionen der umliegenden Siedlungen und Infrastrukturen aufgehellt wird, welche Unterschiede zum Offenland (Wiesen, Felder und siedlungsferne Gebiete über der Waldgrenze) bestehen und wie sich die Fläche des nachtdunklen Waldes zwischen 1992 und 2012 entwickelt hat. Es zeigt sich, dass die Schweizer Wälder zunehmend durch umliegende Lichtquellen aufgehellt sind. Mit Ausnahme des Juras ist die Nachthelligkeit in Waldgebieten sogar höher als im Offenland, das in der vorliegenden Untersuchung flächenmässig durch die Gebiete über der Waldgrenze dominiert wird. Die Resultate können mit der relativen Siedlungsnähe des Waldes erklärt werden. Während es im Mittelland ab 2001 und im Jura ab 2010 keine nachtdunklen Waldflächen mehr gibt, findet man in den Alpen je nach Region noch zwischen 4% (westliche Zentralalpen) und 16% (Alpensüdflanke) völlig nachtdunkle Waldflächen, d.h. Waldflächen ohne menschlichen Lichteinfluss. Die letzten grossen, völlig nachtdunklen Flächen liegen aber nicht im Waldareal, sondern in den Gebieten über der Waldgrenze. Sie sollten gegen Aufhellung besonders geschützt werden, zum Beispiel mit grossflächigen Schutzgebieten («dark sky parks»).

Comment les émissions lumineuses éclairent la forêt suisse depuis 1992

Le ciel nocturne est de plus en plus éclairé par les émissions lumineuses. On constate dans le monde entier et en Suisse une forte progression des émissions lumineuses ces dernières 20 à 30 années. Ceci est problématique aussi bien pour des raisons bioécologiques et sanitaires que culturelles. Différentes lois et normes techniques, aux niveaux de la Confédération et des cantons, règlent les émissions lumineuses. Il est important d'observer la clarté nocturne sur de longues périodes et de larges régions afin de contrôler le succès de ces mesures. Ceci est réalisé dans le cadre de l'Observation du paysage suisse (OPS) qui met à disposition des séries de données sur les émissions lumineuses pour les années 1992 à 2012. Ce travail examine à l'aide d'images satellites à quel point la forêt suisse est éclairée par les émissions lumineuses nocturnes issues des zones habitées et des infrastructures environnantes, les différences existantes avec les zones ouvertes (prés, champs et zones éloignées des habitats au-delà de la forêt) et comment se sont développées les surfaces nocturnes sombres de la forêt entre 1992 et 2012. Il est démontré que les forêts suisses sont de plus en plus éclairées par les sources lumineuses environnantes. A l'exception du Jura, la clarté nocturne est même plus importante en forêt que dans les surfaces ouvertes, qui dans cette étude sont essentiellement composées de surfaces au-delà de la forêt. Les résultats peuvent être expliqués par la proximité de la forêt avec les zones habitées. Alors qu'il n'existe plus de surfaces forestières sombres la nuit depuis 2001 sur le Plateau et 2010 dans le Jura, il existe encore dans les Alpes selon la région, 4% (Alpes centrales occidentales) et 16% (versant sud des Alpes), de surfaces forestières sombres durant la nuit, c'est à dire des surfaces forestières sans influence lumineuse anthropogénique. Les dernières grandes surfaces totalement sombres durant la nuit ne se situent toutefois pas en forêt, mais au-delà de la forêt. Elles devraient être protégées contre les émissions lumineuses, par exemple avec des grandes réserves («dark sky parks»).
 
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language German Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0036-7818 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2165  
Permanent link to this record
 

 
Author Sun, C.; Liu, Y.; Zhao, S.; Jin, S. url  doi
openurl 
  Title Estimating offshore oil production using DMSP-OLS annual composites Type Journal Article
  Year 2020 Publication ISPRS Journal of Photogrammetry and Remote Sensing Abbreviated Journal ISPRS Journal of Photogrammetry and Remote Sensing  
  Volume (down) 165 Issue Pages 152-171  
  Keywords Remote Sensing  
  Abstract Offshore oil exploitation is expanding worldwide in response to the increasing demand for global energy. The long-term acquisition of information on offshore oil production is essential to solve geo-political conflicts and to control marine pollution. However, such information is either dispersed among different authorities or may not even exist. Night-Time Lights (NTL) data has advantages in terms of synoptic coverage and repeatability, providing the opportunity to collect information about marine resources and energy. Until recently, estimating offshore oil production using NTL data was still challenging, largely due to the inability of distinguishing the NTL of oil and gas production. Here, we present an approach for retrieving the spatio-temporal distribution of offshore oil production using DMSP-OLS annual composites. Starting with the geo-locations of offshore platforms, we first propose a Method for Platform Type Classification (MPTC) to discriminate oil platforms from gas platforms. A Model for Oil Production Estimation and Assignment (MOPEA) was then designed by correlating the sum of brightness from oil platforms with offshore oil production. Given worldwide data availability, the offshore regions of the United Kingdom (UK) were used as the initial study area. The principal results are as follows: (i) the overall accuracy of the MPTC and the relative error of the MOPEA were 87.8% and 11.5%, respectively, and the production of each oilfield was in order of magnitude agreement with reality; (ii) there were 365 oil platforms and 258 gas platforms in the UK during 1992–2013, with a distinct spatial distribution north and south of the latitude of 55°N; and (iii) the offshore oil production of the UK declined substantially during 1992–2013, from 9.92 × 107 to 5.63 × 107 sm3, despite an increase in the number of oilfields from 39 to 120 plots; this was mainly because the loss of production in previously highly productive oilfields was too great to be offset by the increased number of low production oilfields. The regional transferability of the MPTC and MOPEA was then validated with reference to three other offshore regions (the Gulf of Guinea of Nigeria, the South China Sea, and the northern Gulf of Mexico of the USA) with satisfactory results. In addition, the MPTC and MOPEA are demonstrated to be capable of extension to the NPP-VIIRS products, paving the way for future applications.  
  Address  
  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 0924-2716 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2987  
Permanent link to this record
 

 
Author Guk, E.; Levin, N. url  doi
openurl 
  Title Analyzing spatial variability in night-time lights using a high spatial resolution color Jilin-1 image – Jerusalem as a case study Type Journal Article
  Year 2020 Publication ISPRS Journal of Photogrammetry and Remote Sensing Abbreviated Journal ISPRS Journal of Photogrammetry and Remote Sensing  
  Volume (down) 163 Issue Pages 121-136  
  Keywords Remote Sensing  
  Abstract In recent decades, there has been an increase in artificial lighting in the world due to urbanization and the revolution of LED lighting. Artificial lighting is an indicator of human activity, but can adversely affect natural ecosystems and people due to negative impacts of light pollution. Space-borne and airborne imagery as well as ground-based measurements enable to measure the intensity and spectra of artificial lights. One of the challenges in remote sensing of night-time lights is how to ground truth night-time imagery acquired by satellites, and how much do space-borne measurements represent the brightness as perceived by organisms. Most of the studies on night-time lights to-date were done using panchromatic sensors at large spatial extents, which did not allow to examine intra-urban variation in night light intensity and spectra. The aim of this study was to test the capability of the new Chinese satellite Jilin-1, which is the first commercial satellite to offer multispectral night-light imagery at a spatial resolution below 1 m, to characterize the night-time properties of urban areas. We examined the correspondence between light intensities as measured from different sensors at different spatial resolutions: two Jilin-1 images of the Jerusalem metropolitan area (0.89 m), VIIRS/DNB (500 m), Loujia-1 (130 m), unmanned aerial vehicle (UAV) color image (0.05 m) and hemispherical color photographs taken by a calibrated ground DSLR (digital single-lens reflex camera). In all the comparisons between different remote sensing tools, as the spatial resolution coarsened, the Pearson correlation coefficient increased, reaching > 0.5 (after resampling to 100 m). Stronger correlations were found for the red band, and weaker correlations were found for the blue band, probably due to atmospheric scattering. By identifying specific objects such as buildings and lightings, we found good correspondence () between Jilin-1 and the ground-based measurements of night-time brightness. We further examined the variability of night lights within different land use types and within different ethnic/religion composition of statistical areas. We found that residential areas of Orthodox Jews were characterized with the highest brightness at night compared with residential areas of Arabs in the West Bank that had the lowest brightness. At the statistical zone level (n = 299), more than 50% of the variability in night-time brightness, was explained by land cover properties (NDVI), infrastructure (roads and built volume) and the ethnic/religious composition. In addition, we found that the spectral ratio index which was based on the red and green bands, enabled to better distinguish between land use classes, than the spectral ratio index which was based on the green and blue bands. The availability of night-time multi-spectral imagery at fine spatial resolution now enables to study urban land-use and spatial inequality, and to better understand the factors explaining night-time brightness.  
  Address  
  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 0924-2716 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2857  
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