Now showing items 1-6 of 6

    • Forecasting urban expansion based on night lights 

      Stathakis D. (2016)
      Forecasting urban expansion models are a very powerful tool in the hands of urban planners in order to anticipate and mitigate future urbanization pressures. In this paper, a linear regression forecasting urban expansion ...
    • Intercalibration of DMSP/OLS by Parallel Regressions 

      Stathakis D. (2016)
      The Defense Meteorological Satellite Program-Operational Linescan System night lights offer a unique data set, covering more than two decades. However, for a number of reasons, an intercalibration procedure has to take ...
    • A photopollution index based on weighted cumulative visibility to night lights 

      Stathakis D., Liakos L., Chalkias C., Pafi M. (2018)
      A method is presented to estimate photopollution (a.k.a night-lights pollution) in a macroscopic manner, i.e.That can be applied globally, using open-domain data. Photopollution has two components, direct illumination and ...
    • Predicting urban expansion in Moscow based on night lights 

      Stathakis D., Seto K., Savin I. (2017)
      Night-lights obtained by the DMSP/OLS sensor offer a unique opportunity to measure urban expansion in the past two decades. We apply a method to project the existing night-lights time series in the future in order to ...
    • Seasonal population estimates based on night-time lights 

      Stathakis D., Baltas P. (2018)
      The objective of this paper is to present a method for estimating seasonally specific ambient population counts. The central assumption is that the variation in observed night-lights is a valid proxy for ambient population. ...
    • Time series formation based on VIIRS 24h data 

      Stathakis D., Liakos L. (2020)
      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 ...