ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Dec 2017)

REMOTE SENSING TECHNOLOGIES AND GEOSPATIAL MODELLING HIERARCHY FOR SMART CITY SUPPORT

  • M. Popov,
  • O. Fedorovsky,
  • S. Stankevich,
  • V. Filipovich,
  • A. Khyzhniak,
  • I. Piestova,
  • M. Lubskyi,
  • M. Svideniuk

DOI
https://doi.org/10.5194/isprs-annals-IV-5-W1-51-2017
Journal volume & issue
Vol. IV-5-W1
pp. 51 – 56

Abstract

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The approach to implementing the remote sensing technologies and geospatial modelling for smart city support is presented. The hierarchical structure and basic components of the smart city information support subsystem are considered. Some of the already available useful practical developments are described. These include city land use planning, urban vegetation analysis, thermal condition forecasting, geohazard detection, flooding risk assessment. Remote sensing data fusion approach for comprehensive geospatial analysis is discussed. Long-term city development forecasting by Forrester – Graham system dynamics model is provided over Kiev urban area.