The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLVI-4/W5-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4/W5-2021, 509–513, 2021
https://doi.org/10.5194/isprs-archives-XLVI-4-W5-2021-509-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-4/W5-2021, 509–513, 2021
https://doi.org/10.5194/isprs-archives-XLVI-4-W5-2021-509-2021

  23 Dec 2021

23 Dec 2021

IGiS FOR MANAGING CITIES SMARTLY – URBAN GEOINFORMATICS

P. Shah P. Shah
  • Scanpoint Geomatics Limited, Ahmedabad, Gujarat, India

Keywords: IGiS, Spatial Database, Standardisation, HRSI, IoT, Sensors, APIs, ICCC

Abstract. A city is a geographic entity and should be efficiently analysed and optimised through the use of geo-spatial technology. The certification for a city to be ‘Smart’ is measured on the basis of the liveable index, adequacy of water supply, assured supply of electricity, proper sanitation and solid waste management, efficient urban mobility, public transport, affordable housing, robust information technology connectivity, transparent and good governance, safety and security of citizens, modernised health and education infrastructure and citizen participation which will lead to sustainable development. Smart Cities require a perfect balancing of modernisation of city infrastructure and leveraging technology. Smart cities require Geo-smart mapping and visualization capabilities with applications for protecting groundwater resources, locating schools and health centres, locating garbage dumps and toilets, designing bus routes. The indigenously developed integrated platform of GIS, Image Processing, Photogrammetry and CAD, called IGiS has been leveraged by Scanpoint Geomatics Limited, Ahmedabad (SGL), India for implementing the Enterprise GIS for 7 smart cities in India. A centralised geo spatial database with a standard data model compliant set of maps/layers has been created for each city. The spatial layers are derived from 30cm resolution satellite data. Point data (locational information) is generated using DGPS surveys. The city assets are geographically mapped at a scale of 1:2000 and organised in a spatial database. Inputs required for operations and maintenance of every utility/facility are geo tagged and stored in the database. Web & Mobile GIS applications & Citizen portal are developed using the indigenous platform. Integration with other e-governance applications and spatial layer requirements of the Integrated Command and Control Centre are supported through RestAPI & OGC compliant web services. SGL’s Mobile GIS framework named Qpad comes handy for spatial data verification. IoT devices are used to gain insights for real-time handling of critical situations or emergencies. Having laid the foundation for driving smart cities in terms of the spatial database at a scale of 1:2000, the stage is set to look forward to the results. Plugging revenue leakages, better traffic management, information at a click during peak of the Corona pandemic, effective usage of open spaces and barren areas, planning the utility requirements by the corporation to accommodate for the urban explosion is the kind of harvest that is anticipated with abated breath. This paper demonstrates the suitability and capability of the indigenously developed common platform for image processing and GIS (IGiS Enterprise Suite) in building Smart City Applications and quantifying the results.