为改善社区内部单向线性的资源代谢模式，优化城市资源循环代谢系统，借助无人机低空摄影测量技术，选用Agisoft PhotoScan、Cloud Compare、Yaahp软件，提出一种基于图像三维重建和多准则决策的城市社区绿色生产性更新方法；通过构建社区建成环境三维点云模型和社区空间生产潜力评价模型，量化分析社区不同空间生产适宜性，并进行更新设计。结果表明：利用所提出方法更新后的社区能够满足自身43.8%的蔬菜供给需求；处理社区87.28%的有机废弃物；补充灌溉用水23.46%；并有效减少食物里程碳排放和建筑能耗。可见社区绿色生产性更新能够明显降低社区的资源外部依赖性，进而转变社区的资源代谢模式。

In order to improve the unidirectional linear resource metabolism pattern within communities and optimize the urban resource circulation system, a green productive regeneration method for urban communities based on image 3D reconstruction and multi-criteria decision making was proposed with the help of drone low-altitude photogrammetry technology and using Agisoft PhotoScan, Cloud Compare, and Yaahp. By constructing a 3D point cloud model of the community's built environment and a spatial production potential evaluation model, the suitability of different spaces for production within the community was analyzed, and regeneration design was carried out. The results show that the regenerated community using this method can meet 43.8% of its vegetable supply demand, process 87.28% of its organic waste, supplement 23.46% of its irrigation water needs, and effectively reduce food mileage carbon emissions and building energy consumption. It is concluded that the community's green productive regeneration can significantly reduce its external resource dependency, thus transforming its resource metabolism pattern.