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Author Ruan, Y.L.; Zou, Y.H. url  doi
openurl 
  Title Monitoring The Spatio-Temporal Trajectory Of Urban Area Hotspots In Wuhan, China Using Time-Series Nighttime Light Images Type Journal Article
  Year 2019 Publication ISPRS – International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Abbreviated Journal Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.  
  Volume Xlii-4/W20 Issue Pages 71-76  
  Keywords Remote Sensing  
  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language (up) Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2194-9034 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 2762  
Permanent link to this record
 

 
Author Spur, M.; Houel, N.; Tourre, V. url  doi
openurl 
  Title Visualizing Multilayered Geospatial Data In Virtual Reality To Assess Public Lighting Type Journal Article
  Year 2020 Publication ISPRS – International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Abbreviated Journal Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.  
  Volume Xliii-B4-2020 Issue Pages 623-630  
  Keywords Lighting; Instrumentation; Vision  
  Abstract With the improvement and proliferation of virtual reality devices, their use for research and professional activity is broadening,fostering the advent of the field of immersive analytics, as is their acceptance among consumers. Other than the heightened sense of immersion into visualized data they provide, they also make displays of much larger apparent size and different positioning practical than what would be possible otherwise. Drawing on these benefits, we implemented a development of Multiple and Coordinated Displays (MCVs) for geovisualization that stacks different layers of data above each other, tilted for legibility. In a formal experiment, we evaluated it and two other, comparable MCV methods implemented in VR for their usefulness in analyzing public perception and soliciting public feedback regarding urban street lighting. In that field, the direction has recently been shifting from purely systemic development to a participatory approach, thus our investigation was into how a system like this could facilitate participation that can yield actionable results. Previous analysis of interaction data and usability questionnaires reveals preferences for certain systems depending on user characteristics, with the stack system showing a slight advantage over a grid of layers and especially over temporal multiplexing. We show that regardless of MCV variation, participants were able to analyze and provide feedback on public lighting situations that can directly contribute to urbanist work. The MCV approach further aided in understanding their choices, as eye-tracking allowed us to analyze attention to individual data layers.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language (up) Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2194-9034 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 3105  
Permanent link to this record
 

 
Author Arellano, B.; Roca, J. url  doi
openurl 
  Title The Extraction Of Urbanized Areas Through Images Of High Resolution Nighttime Lights Type Journal Article
  Year 2020 Publication ISPRS – International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Abbreviated Journal Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.  
  Volume Xliii-B3-2020 Issue Pages 649-655  
  Keywords Remote Sensing  
  Abstract Satellite nocturnal images of the earth are a useful way to identify urbanisation. Nighttime lights have been used in a variety of scientific contributions, including studies on the identification of metropolitan areas as well as landscapes impacted by urbanization. However, the study of urban systems by nighttime light imagery has had a fundamental limitation to date: the low spatial resolution of satellite sensors. Although the DMSP Operational Linescan System (OLS) has been gathering global low-light imaging data for over 40 years, its 2.7 km/pixel footprint has limited its use for in-depth studies of urban development. The 2011 launch by NASA and the NOAA of the Suomi National Polar Partnership (SNPP) satellite, with the Visible Infrared Imaging Radiometer Suite (VIIRS) sensor on board, has led to a significant improvement. This instrument has better spatial resolution (742 m/pixel), on-board calibration, a greater radiometric range, and fewer saturation and blooming problems than DMSP-OLS data. However, it still has considerable limitations for the in-depth study of the area and internal structure of urban systems.

The launch of Luojia 1-01 in June 2018 has increased expectations. LJ1-01 is a nano satellite that can obtain high-resolution nocturnal images (130 metres/pixel). The aim of this paper is to analyse, and compare with previous satellites, the new instrument’s capacity to delimit the urbanised area and its efficiency in identifying types of urban landscape (compact, dispersed and rurban). The study cases are Barcelona Metropolitan Region (Spain) and Shenzhen City (China).
 
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language (up) Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2194-9034 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number GFZ @ kyba @ Serial 3106  
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