ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume IV-5/W1
Articles | Volume IV-5/W1
https://doi.org/10.5194/isprs-annals-IV-5-W1-51-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-annals-IV-5-W1-51-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume IV-5/W1
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

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.

How to cite. Popov, M., Fedorovsky, O., Stankevich, S., Filipovich, V., Khyzhniak, A., Piestova, I., Lubskyi, M., and Svideniuk, M.: REMOTE SENSING TECHNOLOGIES AND GEOSPATIAL MODELLING HIERARCHY FOR SMART CITY SUPPORT, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-5/W1, 51–56, https://doi.org/10.5194/isprs-annals-IV-5-W1-51-2017, 2017.