| dc.creator | Stathakis D., Liakos L. | en |
| dc.date.accessioned | 2023-01-31T10:02:27Z | |
| dc.date.available | 2023-01-31T10:02:27Z | |
| dc.date.issued | 2020 | |
| dc.identifier | 10.1117/12.2574346 | |
| dc.identifier.issn | 0277786X | |
| dc.identifier.uri | http://hdl.handle.net/11615/79396 | |
| dc.description.abstract | Satellite images taken in the night (a.k.a night lights) have been extensively used as a proxy for economic activity and urbanization. The recent Visible Infrared Imaging Radiometer Suite (VIIRS) data available every 24h open up a new domain of applications i.e. monitoring the function of the city. A method is needed however in order to remove lunar illumination that is different in each night so to form a meaningful time series, free of noise. A method is proposed here and tested in several case studies. It is found to perform acceptably with minimum input and processing requirements. © 2020 SPIE. | en |
| dc.language.iso | en | en |
| dc.source | Proceedings of SPIE - The International Society for Optical Engineering | en |
| dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85094958433&doi=10.1117%2f12.2574346&partnerID=40&md5=d6adf6444aba074e3a2e54880be0dde2 | |
| dc.subject | Economics | en |
| dc.subject | Thermography (imaging) | en |
| dc.subject | Time series | en |
| dc.subject | Case-studies | en |
| dc.subject | Economic activities | en |
| dc.subject | Night lights | en |
| dc.subject | Satellite images | en |
| dc.subject | Visible infrared imaging radiometer suites | en |
| dc.subject | Remote sensing | en |
| dc.subject | SPIE | en |
| dc.title | Time series formation based on VIIRS 24h data | en |
| dc.type | conferenceItem | en |