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Spatial and decadal prediction of land use/land cover using multi-layer perceptron-neural network (MLP-NN) algorithm for a semi-arid region of Asir, Saudi Arabia

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Abstract

The present study uses Landsat satellite images of 1990, 2000 and 2018 to identify the land-use changes. Multilayer perceptron-neural network based land change modelling (LCM) has been applied to model future land-use/land cover (LULC). The prediction model has been validated using simulated and classified LULC maps of 2018 which resulted into an overall accuracy of 88%. The results indicate 389.27% increase in built-up area as the prominent land-use change during 1990–2018 and an increase of 56.25% in built-up area is forecasted during the year 2018–2040. Land absorption coefficient and land consumption rate indices, used to characterize urban expansion, indicate continued compact built-up structure during 1990–2018 due to population increase. The observations derived from this study would be useful as it will help the regional planners with forecasted land-use beforehand in planning the built-up and abundantly available natural resources in the area according to the increasing future demands.

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Acknowledgements

“The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this work through General Research Project under grant number (R.G.P2 /75/41)”.

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Authors and Affiliations

  1. Department of Civil Engineering, College of Engineering, King Khalid University, Abha, Kingdom of Saudi Arabia

    Saeed Alqadhi & Javed Mallick

  2. Department of Energy and Environment, TERI School of Advanced Studies, New Delhi, India

    Akanksha Balha & Chander Kumar Singh

  3. Department of Architecture and Planning, College of Engineering, King Khalid University, Abha, Kingdom of Saudi Arabia

    Ahmed Bindajam

  4. Ho Chi Minh City Institute of Resources Geography, Vietnamese Academy of Science and Technology, HCMC, Vietnam

    Pham Viet Hoa

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  1. Saeed Alqadhi
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Alqadhi, S., Mallick, J., Balha, A. et al. Spatial and decadal prediction of land use/land cover using multi-layer perceptron-neural network (MLP-NN) algorithm for a semi-arid region of Asir, Saudi Arabia. Earth Sci Inform 14, 1547–1562 (2021). https://doi.org/10.1007/s12145-021-00633-2

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