ISPRS-Annals ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences ISPRS-Annals ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci. 2194-9050 Copernicus Publications Göttingen, Germany 10.5194/isprs-annals-IV-5-W1-51-2017 REMOTE SENSING TECHNOLOGIES AND GEOSPATIAL MODELLING HIERARCHY FOR SMART CITY SUPPORT Popov M. 1 Fedorovsky O. 1 Stankevich S. 1 Filipovich V. 1 Khyzhniak A. 1 Piestova I. 1 Lubskyi M. 1 Svideniuk M. 1 Scientific Centre for Aerospace Research of the Earth, NAS of Ukraine, Oles Gonchar str., 55-B, Kiev, Ukraine 13 12 2017 IV-5/W1 51 56 This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/ This article is available from https://isprs-annals.copernicus.org/articles/isprs-annals-IV-5-W1-51-2017.html The full text article is available as a PDF file from https://isprs-annals.copernicus.org/articles/isprs-annals-IV-5-W1-51-2017.pdf

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.