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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taiwan Association of Engineering and Technology Innovation
2023-01-01
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| Series: | Proceedings of Engineering and Technology Innovation |
| Subjects: | |
| Online Access: | https://ojs.imeti.org/index.php/PETI/article/view/9617 |