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Modern Geomatics Technologies and Applications

5. Conclusion
Using GIS along with remote sensing can be considered as a suitable tool for combining economic, social, and
environmental factors to model land use change. In this regard, a large number of factors can enter the modelling process, and
this increase in factors in many cases not only does not increase the efficiency of the model, but also reduces its efficiency, hence,
choosing the right factors among the factors is important.

In this study, after selecting the appropriate factors and predicting changes for land uses, we have reached significant
points such as increasing 40.24% of developed open spaces, increasing 49.83% of grassland, and decreasing 27.43% of evergreen
forests, which is the importance of optimal management. It preserves the environment for us more than ever.

6. References

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[6] A. Veldkamp and L. O. Fresco, “CLUE: a conceptual model to study the Conversion of Land Use and its Effects,”
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[7] D. C. Parker, S. M. Manson, M. A. Janssen, M. J. Hoffmann, and P. Deadman, “Multi-agent systems for the
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[9] G. Liu et al., “Policy factors impact analysis based on remote sensing data and the CLUE-S model in the Lijiang
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[10] J. Anand, A. K. Gosain, and R. Khosa, “Prediction of land use changes based on Land Change Modeler and
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