Time series formation based on VIIRS 24h data

Demetris Stathakis; Leonidas Liakos

doi:10.1117/12.2574346

20 September 2020 Time series formation based on VIIRS 24h data

Demetris Stathakis, Leonidas Liakos

Proceedings Volume 11535, Remote Sensing Technologies and Applications in Urban Environments V; 115350J (2020) https://doi.org/10.1117/12.2574346
Event: SPIE Remote Sensing, 2020, Online Only

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.

Conference Presentation

Citation Download Citation

Demetris Stathakis and Leonidas Liakos "Time series formation based on VIIRS 24h data", Proc. SPIE 11535, Remote Sensing Technologies and Applications in Urban Environments V, 115350J (20 September 2020); https://doi.org/10.1117/12.2574346

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