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Manifestation of Remote Sensing Data in Modeling Urban Sprawl Using the SLEUTH Model and Brute Force Calibration: A Case Study of Sana’a City, Yemen

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Abstract

Sana’a the metropolitan capital of Yemen, has experienced rapid spatial growth and uncontrolled development for decades. In the absence of a means to forecast and predict urban growth trends, planning and urban policy decisions have been found wanting. In this study the SLEUTH (Slope, landuse, exclusion, urban extent, transportation and hillshade) model which has been widely and successfully applied in developed countries, has been applied to predict the spatial urban sprawl pattern from 2004–2020 in Sana’a. This was to provide the necessary forecast for better planning and decision making. The model performed well as per the calibration coefficient values. The results showed that there will a 29 % increase in spatial urban sprawl growth during the modeling period. Growth of the sprawl will be mainly at the edges of the urban boundary, there will also be a wide area of scattered urban clusters. Factors that will have major influence on spatial expansion of the city will be diffusion, natural and internal growth, slope (that will hinder spread) and transportation (along which most of the urban sprawl will occur). The study also provides an insight into how the SLEUTH model performs in a poorly planned urban environment as compared to the planned and controlled environment where it has been applied.

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Acknowledgments

The study is benefited from the academic scholarship provided by the Ministry of Higher Education, Yemen. Authors are also very thankful for the support given by various ministries and departments in Yemen with the provision of data and other information used in the study. This manuscript is greatly benefited from very helpful reviews by two anonymous reviewers.

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Authors and Affiliations

  1. Department of Geography, University of Sana’a, Sana’a, Yemen

    Mohamed Al-shalabi

  2. Spatial and Numerical Modeling Research Group, Faculty of Engineering, University Putra Malaysia, 43400, Serdang Selangor, Malaysia

    Biswajeet Pradhan, Shattri Mansor & Omar F. Althuwaynee

  3. School of Geography, University of Nottingham, Malaysia Campus, 43500, Semenyih Selangor, Malaysia

    Lawal Billa

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  1. Mohamed Al-shalabi
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  2. Biswajeet Pradhan
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  3. Lawal Billa
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  4. Shattri Mansor
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  5. Omar F. Althuwaynee
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Correspondence to Biswajeet Pradhan.

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Al-shalabi, M., Pradhan, B., Billa, L. et al. Manifestation of Remote Sensing Data in Modeling Urban Sprawl Using the SLEUTH Model and Brute Force Calibration: A Case Study of Sana’a City, Yemen. J Indian Soc Remote Sens 41, 405–416 (2013). https://doi.org/10.1007/s12524-012-0215-6

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  • DOI: https://doi.org/10.1007/s12524-012-0215-6

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