Modeling and Forecasting Urban Sprawl in Sylhet Sadar Using Remote Sensing Data

Modeling and Forecasting Urban Sprawl in Sylhet Sadar Using Remote Sensing Data

Forecasting urban sprawl is important for land-use and transport planning. The aim of this study is to model and predict the future urban sprawl in Sylhet Sadar using remote sensing data. The ordinary least square (OLS) regression model and the geographic information system (GIS) are used for model...

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Bibliographic Details
Main Authors: Md Aminul Islam, Tanzina Ahmed Rickty, Pramit Kumar Das, Md Bashirul Haque
Format: Article
Language:English
Published: Taiwan Association of Engineering and Technology Innovation 2023-01-01
Series:Proceedings of Engineering and Technology Innovation
Subjects:
geographic information system
remote sensing
land use and land cover
urban sprawl
ordinary least square regression
cellular automata
Online Access:https://ojs.imeti.org/index.php/PETI/article/view/9617

Internet

https://ojs.imeti.org/index.php/PETI/article/view/9617

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