Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
A Systematic Review on the Application of Geospatial Technology and Artificial Intelligence in Urban Growth Modeling
Understanding urban growth in rapidly changing cities is critical to city planners and administrators. Urban growth is a wide-ranging concept defined in many ways by different scholars. The existing literature on urban growth and urban sprawl is voluminous. The concept of sprawl suffers from difficulty in definition and is ‘lost in a semantic wilderness.’ In this present chapter, an attempt has been made to briefly document the important aspects of urban growth and urban sprawl pertaining to nature and dimensions of the studies on urban growth, issues associated with rapid built-up growth, particularly in developing countries like India, the role of remote sensing (RS) and geographic information system (GIS) in urban growth studies, preprocessing, classification, and accuracy assessment of the used satellite images, techniques of measuring and monitoring urban growth, especially the entropy approach, change detection analysis, landscape metrics, the goodness of urban growth, and other quantitative and qualitative indices employed by global researchers highlighting their merits and demerits, modeling urban growth dynamics and its recent trends. It also highlights similar studies conducted in the Indian context. The bibliometric analysis finds that USA tops urban growth research as per Scopus database followed by China, while India ranks 49th position in the ladder. Modeling approaches, like Markov chain, cellular automata, and SLEUTH, are frequently deployed modeling approaches often integrated with RS-GIS. Furthermore, very recently, some machine learning approaches (e.g., multi-layer perceptron) are reportedly used for this purpose. However, model parameterization and calibration remain challenging and critical.
A Systematic Review on the Application of Geospatial Technology and Artificial Intelligence in Urban Growth Modeling
Understanding urban growth in rapidly changing cities is critical to city planners and administrators. Urban growth is a wide-ranging concept defined in many ways by different scholars. The existing literature on urban growth and urban sprawl is voluminous. The concept of sprawl suffers from difficulty in definition and is ‘lost in a semantic wilderness.’ In this present chapter, an attempt has been made to briefly document the important aspects of urban growth and urban sprawl pertaining to nature and dimensions of the studies on urban growth, issues associated with rapid built-up growth, particularly in developing countries like India, the role of remote sensing (RS) and geographic information system (GIS) in urban growth studies, preprocessing, classification, and accuracy assessment of the used satellite images, techniques of measuring and monitoring urban growth, especially the entropy approach, change detection analysis, landscape metrics, the goodness of urban growth, and other quantitative and qualitative indices employed by global researchers highlighting their merits and demerits, modeling urban growth dynamics and its recent trends. It also highlights similar studies conducted in the Indian context. The bibliometric analysis finds that USA tops urban growth research as per Scopus database followed by China, while India ranks 49th position in the ladder. Modeling approaches, like Markov chain, cellular automata, and SLEUTH, are frequently deployed modeling approaches often integrated with RS-GIS. Furthermore, very recently, some machine learning approaches (e.g., multi-layer perceptron) are reportedly used for this purpose. However, model parameterization and calibration remain challenging and critical.
A Systematic Review on the Application of Geospatial Technology and Artificial Intelligence in Urban Growth Modeling
GIScience & Geo-environmental Modelling
Rahman, Atiqur (Herausgeber:in) / Sen Roy, Shouraseni (Herausgeber:in) / Talukdar, Swapan (Herausgeber:in) / Shahfahad (Herausgeber:in) / Mithun, SK (Autor:in) / Parveen, Samsad (Autor:in) / Sahana, Mehebub (Autor:in) / Chattopadhyay, Subrata (Autor:in)
04.03.2023
28 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Urban sprawl , Urban growth modeling , Remote sensing and GIS , Bibliometric analysis , Shannon’s entropy , Landscape metrics , Change detection analysis Environment , Environment, general , Computer Applications , Geography, general , Urban Ecology , Ecology , Climate, general , Earth and Environmental Science
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