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Journal of Chinese
            Architecture and Urbanism                                             Spatial analysis of urban garden space




            A                                                B























                                Figure 14. Rate of land cover area transitions from (A) 2010 – 2015 and (B) 2015 – 2020
                                                   Source: Maps by the authors.














            Figure  15. Gains and losses in land cover types obtained from the
            implementation of the land change modeler model (2000 – 2020)
            Source: Graph by the authors.
            lands. These land use transitions suggest an attempt to
            balance land allocation, which can be interpreted within
            the context of regional food security considerations.
                                                               Figure 16. Land cover transitions between 2000 and 2020
            5. Conclusion                                      Source: Graph by the authors.
            The present study underscores the direct impact of human
            actions and land management policies on land cover   establishment of Garden Cities through the conversion
            changes. Accurate predictions and targeted modeling play   of barren lands and pastures into green spaces and
            a pivotal role in achieving a harmonious balance between   woodlands. However, this transformation carries both
            human development  and  environmental conservation.   positive and negative implications for the region’s physical
            The findings provide a valuable foundation for decision-  and environmental indicators.
            making in sustainable urban planning and natural resource   While the expansion of Garden Cities may enhance
            management, contributing to sustainable development and   aesthetics and improve the quality of life, it could also
            food security objectives.                          adversely affect food security by reducing the amount of
              The research methodology employed supervised     land available for agricultural production. In addition,
            models, including RF and artificial NNET, which    urban and industrial growth has contributed significantly
            demonstrated high efficiency in data classification and   to the depletion of natural vegetation. Consequently,
            facilitated precise change detection. Analyzing Landsat   future planning should prioritize mitigating these effects.
            series satellite images over a 20-year period revealed   Furthermore, the net changes in land cover types between
            significant shifts in land use patterns within the study   2000 and 2020 indicate substantial conversion of barren
            area. Notably, there is a discernible trend toward the   land  into woodland, likely influenced by  horticultural

            Volume 7 Issue 3 (2025)                         11                       https://doi.org/10.36922/jcau.6234
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