ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume IV-5/W1
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-5/W1, 51–56, 2017
https://doi.org/10.5194/isprs-annals-IV-5-W1-51-2017
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-5/W1, 51–56, 2017
https://doi.org/10.5194/isprs-annals-IV-5-W1-51-2017

  13 Dec 2017

13 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, and M. Svideniuk M. Popov et al.
  • Scientific Centre for Aerospace Research of the Earth, NAS of Ukraine, Oles Gonchar str., 55-B, Kiev, Ukraine

Keywords: Smart city, Decision-making support, Remote sensing technology, Geospatial modelling, City development forecasting

Abstract. 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.