Evaluating the impact of smart city on land use efficiency in Dehradun district by using GIS and Remote Sensing Techniques

A unique, developing idea known as "smart cities" relies on cutting-edge information and communication systems. Policy makers frequently require precise and updated land use land cover data to effectively represent the city. After forming a new state Uttarakhand from Uttar Pradesh, Dehradu...

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Bibliographic Details
Published in2023 International Conference on Device Intelligence, Computing and Communication Technologies, (DICCT) pp. 472 - 476
Main Authors Pokhariya, Hemant Singh, Pratap Singh, Devesh, Rathi, Vikas
Format Conference Proceeding
LanguageEnglish
Published IEEE 17.03.2023
Subjects
Change Detection
Dehradun
Earth
Forestry
Google Earth Engine
Land use land cover
Random Forest
Remote Sensing
Rivers
Roads
Sensors
Smart cities
Smart city
Sociology
sustainable development goals
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Summary:A unique, developing idea known as "smart cities" relies on cutting-edge information and communication systems. Policy makers frequently require precise and updated land use land cover data to effectively represent the city. After forming a new state Uttarakhand from Uttar Pradesh, Dehradun district, the capital of Uttarakhand state, witnessed rapid fluctuations in the land use land cover (LULC) especially with reference to built-up area due to smart city project (urbanization). This research article reveals impact of smart city project on land use efficiency in Dehradun by using remote sensing and GIS techniques. Classification of LANDSAT images are performed by Random Forest (RF) classifier in Google Earth Engine from 2001 to 2022. According to the findings of this investigation, from 2001 to 2022, the built-up area of the Uttarakhand state's Dehradun district has grown (116%) dramatically, particularly in the city's core where a smart city project is taking root.
DOI:10.1109/DICCT56244.2023.10110184