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Author Su, Z.; Zhong, X.; Zhang, G.; Li, Y.; He, X.; Wang, Q.; Wei, Z.; He, C.; Li, D. url  doi
openurl 
  Title (up) High Sensitive Night-time Light Imaging Camera Design and In-orbit Test of Luojia1-01 Satellite Type Journal Article
  Year 2019 Publication Sensors Abbreviated Journal Sensors  
  Volume 19 Issue 4 Pages 797  
  Keywords Remote Sensing; Instrumentation  
  Abstract Luojia1-01 satellite is the first scientific experimental satellite applied for night-time light remote sensing data acquisition, and the payload is an optical camera with high sensitivity, high radiation measurement accuracy and stable elements of interior orientation. At the same time, a special shaped hood is designed, which significantly improved the ability of the camera to suppress stray light. Camera electronics adopts the integrated design of focal plane and imaging processing, which greatly reduces the volume and weight of the system. In this paper, the design of the optical camera is summarized, and the results of in-orbit imaging performance tests are analyzed. The results show that the dynamic modulation transfer function (MTF) of the camera is better than 0.17, and the SNR is better than 35 dB under the condition of 10 lx illuminance and 0.3 reflectivity and all indicators meet the design requirements. The data obtained have been widely applied in many fields such as the process of urbanization, light pollution analysis, marine fisheries detection and military.  
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  Series Volume Series Issue Edition  
  ISSN 1424-8220 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2215  
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Author Wahl, F.; Kantermann, T.; Amft, O. url  doi
openurl 
  Title (up) How much Light do you get? Estimating Daily Light Exposure using Smartphones Type Conference Article
  Year 2014 Publication Proceedings of the 2014 ACM International Symposium on Wearable Computers Abbreviated Journal Proc. of the 2014 ACM International Symposium on Wearable Computers  
  Volume n/a Issue n/a Pages 43-46  
  Keywords Instrumentation; light exposure; context inference, light intensity; light intake; circadian clock; circadian rhythm; mobile sensing  
  Abstract We present an approach to estimate a persons light exposure using smartphones. We used web-sourced weather reports combined with smartphone light sensor data, time of day, and indoor/outdoor information, to estimate illuminance around the user throughout a day. Since light dominates every human’s circadian rhythm and influences the sleep-wake cycle, we developed a smartphone-based system that does not re- quire additional sensors for illuminance estimation. To evaluate our approach, we conducted a free-living study with 12 users, each carrying a smartphone, a head-mounted light reference sensor, and a wrist-worn light sensing device for six consecutive days. Estimated light values were compared to the head-mounted reference, the wrist-worn device and a mean value estimate. Our results show that illuminance could be estimated at less than 20% error for all study participants, outperforming the wrist-worn device. In 9 out of 12 participants the estimation deviated less than 10% from the reference measurements.  
  Address ACTLab, Chair of Sensor Technology, University of Passau (florian.wahl@uni-passau.de)  
  Corporate Author Thesis  
  Publisher ACM Place of Publication Editor  
  Language English Summary Language English Original Title  
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  Notes Approved no  
  Call Number IDA @ john @ Serial 1206  
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Author Kruse, F.A.; Elvidge, C.D. url  doi
openurl 
  Title (up) Identifying and mapping night lights using imaging spectrometry Type Journal Article
  Year 2011 Publication Proceedings of Aerospace Conference, 2011 IEEE, March 5-11 2011. Abbreviated Journal  
  Volume Issue Pages 1 - 6  
  Keywords Instrumentation  
  Abstract Remote mapping of night lights using the Defense Meteorological Satellite Program (DMSP) has been used for decades to inventory the global distribution of human activity. ©± The coarse spatial and spectral resolution of DMSP, however, has precluded discrimination of lighting types or spectral characteristics. Recent demonstrations using photography from the International Space Station and airborne multispectral simulations demonstrate significant potential, but high-spectral-resolution field and laboratory measurements indicate that these methods do not take full advantage of the spectral information available. This research demonstrates the use of imaging spectrometer data to identify, characterize, and map urban lighting based on comparison to a lights spectral library. The library provides information about spectral emission lines unique to specific lighting types. ProSpecTIR-VS imaging spectrometer data of Las Vegas, Nevada were analyzed to extract spectral features and these were compared to the spectral library measurements on a pixel-by-pixel basis, resulting in a detailed spatial map showing different lighting types. The nature and distribution of lights can be used as a surrogate for characterization of urban settings, and measurement of urban development.  
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  Notes Approved no  
  Call Number LoNNe @ christopher.kyba @ Serial 470  
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Author Yao, Q.; Wang, H.; Uttley, J.; Zhuang, X. url  doi
openurl 
  Title (up) Illuminance Reconstruction of Road Lighting in Urban Areas for Efficient and Healthy Lighting Performance Evaluation Type Journal Article
  Year 2018 Publication Applied Sciences Abbreviated Journal Applied Sciences  
  Volume 8 Issue 9 Pages 1646  
  Keywords Instrumentation; Lighting; Planning  
  Abstract Big lighting data are required for evaluation of lighting performance and impacts on human beings, environment, and ecology for smart urban lighting. However, traditional approaches of measuring road lighting cannot achieve this aim. We propose a rule-of-thumb model approach based on some feature points to reconstruct road lighting in urban areas. We validated the reconstructed illuminance with both software simulated and real road lighting scenes, and the average error is between 6 and 19%. This precision is acceptable in practical applications. Using this approach, we reconstructed the illuminance of three real road lighting environments in a block and further estimated the mesopic luminance and melanopic illuminance performance. In the future, by virtue of Geographic Information System technology, the approach may provide big lighting data for evaluation and analysis, and help build smarter urban lighting.  
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  ISSN 2076-3417 ISBN Medium  
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  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2003  
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Author Levin, N.; Phinn, S. url  doi
openurl 
  Title (up) Illuminating the capabilities of Landsat 8 for mapping night lights Type Journal Article
  Year 2016 Publication Remote Sensing of Environment Abbreviated Journal Remote Sensing of Environment  
  Volume 182 Issue Pages 27-38  
  Keywords Remote Sensing; Instrumentation  
  Abstract Remote sensing of night-lights has been enhanced in recent years with the availability of the new VIIRS Day and Night band, the commercial EROS-B satellite and astronaut photographs from the International Space Station. However, dedicated space-borne multispectral sensors offering radiance calibrated night lights imagery are yet to be launched. Here we examined the capabilities of Landsat 8 to acquire night time light images of the Earth. Examining seven night-time Landsat 8 scenes, we found that brightly lit areas in both urban (Berlin, Las Vegas, Nagoya and Tel-Aviv) and gas flares (Basra, Kuwait) areas were detected in all eight bands of Landsat 8. The threshold for detection of lit areas was approximately 0.4 W/m2/μm/sr in bands 1–5 and 8 of Landsat 8. This threshold level was higher than Landsat dark noise levels, and slightly lower than post launch Landsat 8 OLI band dependent noise equivalent radiance difference levels. Drawing on this, we call on the USGS to plan an annual night-time acquisition of urban and gas flares areas globally, and to enable the performance of the future Landsat 10 to be established in a way that it will be sensitive enough to image the Earth at night, thus performing as Nightsat during the night.  
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  ISSN 0034-4257 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number LoNNe @ kyba @ Serial 1452  
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