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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.  
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  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.  
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  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  
Permanent link to this record
 

 
Author Sierro, A., & Erhardt, A. doi  openurl
  Title Light pollution hampers recolonization of revitalised European Nightjar habitats in the Valais (Swiss Alps) Type Journal Article
  Year 2019 Publication Journal of Ornithology Abbreviated Journal  
  Volume (down) 160 Issue 3 Pages 749–761  
  Keywords Animals; Conservation; Birds; Caprimulgus europaeus; Conservation measures; Moth availability; Nocturnal adaptation  
  Abstract Increasing light emissions caused by human activities have been recognized as a major threat for nocturnal animals. In Switzerland, the European Nightjar is a rare bird, decreasing in numbers since the 1970s, and is therefore highly threatened. The last breeding population occurs in the canton Valais. Initial expert-based conservation measures on formerly inhabited breeding sites were successful until 2000, however recent additional measures have failed. Nightjars are highly sensitive to light due to their special retina adapted to living in semi-darkness. We hypothesized that food availability, mainly moths, is not a critical limiting factor, but that artificial light emissions prevent successful foraging as well as recolonizing revitalised breeding habitats of the nightjar. To test this hypothesis, we used light trapping data of moths from the last 30 years to evaluate food availability and compared light emission on abandoned versus still-occupied breeding sites. Abundance of larger moths did not change significantly over the last 30 years, and smaller moths even increased in abandoned as well as in still-occupied nightjar habitats. However, light emission was two to five times higher in abandoned compared to still-occupied sites. These results suggest that increasing light emission during recent decades has exceeded tolerable levels for this highly specialized night bird. Authorities of the canton Valais should therefore order a reduction in light emission near nightjar habitats by replacing bulbs currently in use with customized LED or broad-spectrum lamps low in white and blue light, and assign remaining nightjar habitats as areas of complete nocturnal darkness, thereby also protecting other threatened nocturnal animals, including moths.  
  Address Conservation Nature and Paysage, Sierre, Switzerland; antoine(at)naturarks.ch  
  Corporate Author Thesis  
  Publisher Springer Place of Publication Editor  
  Language English Summary Language English Original Title  
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  Area Expedition Conference  
  Notes Approved no  
  Call Number IDA @ intern @ Serial 2300  
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Author Bhukya, K. A., Ramasubbareddy, S., Govinda, K., & Srinivas, T. A. S. url  doi
openurl 
  Title Adaptive Mechanism for Smart Street Lighting System Type Journal Article
  Year 2019 Publication Smart Intelligent Computing and Applications Abbreviated Journal  
  Volume (down) 160 Issue Pages 69-76  
  Keywords Lighting  
  Abstract The adaptive street light has the ability to adapt to the motion of cycles, cars and pedestrians. It uses motion as well as light sensors to detect the traffic and light around. It dims when there is no movement on the road, and is brightened when there is any activity. Smart street lights are very dissimilar from the old methods of lighting. It is an automated system that will be able to automate the streets. The main objective of these lights is to decrease the utilization of power, while no activity is detected on the street. It will be switched ON while there are pedestrians and cars on the street or else they will get dimmed to 20% of the brightness. The proposed approach gives a method to conserve power by using the PIR sensors to sense the incoming traffic and hence turning ON a cluster of lights surrounding the traffic. As the traffic is passing by, the street lights left behind will dim on its own. Hence, a lot of power can be conserved. Also, during the day time when there is no need of light the LDR sensor will sense the light and the light will remain switched OFF. This smart street light system comes under the domain of smart city.  
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  Area Expedition Conference  
  Notes Approved no  
  Call Number IDA @ intern @ Serial 2723  
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Author Syposz, M.; Gonçalves, F.; Carty, M.; Hoppitt, W.; Manco, F. url  doi
openurl 
  Title Factors influencing Manx Shearwater grounding on the west coast of Scotland Type Journal Article
  Year 2018 Publication Ibis Abbreviated Journal Ibis  
  Volume (down) 160 Issue 4 Pages 846-854  
  Keywords Animals  
  Abstract Grounding of thousands of newly fledged petrels and shearwaters (family Procellariidae) in built‐up areas due to artificial light is a global problem. Due to their anatomy these grounded birds find it difficult to take off from built‐up areas and many fall victim to predation, cars, dehydration or starvation. This research investigated a combination of several factors that may influence the number of Manx Shearwater Puffinus puffinus groundings in a coastal village of Scotland located close to a nesting site for this species. A model was developed that used meteorological variables and moon cycle to predict the daily quantity of birds that were recovered on the ground. The model, explaining 46.32% of the variance of the data, revealed how new moon and strong onshore winds influence grounding. To a lesser extent, visibility conditions can also have an effect on grounding probabilities. The analysis presented in this study can improve rescue campaigns of not only Manx Shearwaters but also other species attracted to the light pollution by predicting conditions leading to an increase in the number of groundings. It could also inform local authorities when artificial light intensity needs to be reduced.  
  Address  
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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0019-1019 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2778  
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