城市建筑

文章聚焦高密度城区园林绿地，探究其在城市碳循环中的作用。基于Sentinel-2(10 m分辨率)和Landsat 8(30 m分辨率)卫星影像及地面观测数据，构建碳储量估算模型，量化分析绿地碳储量，并通过10年动态监测（每年4次）揭示其季节性与年际变化规律。结果显示，附属绿地碳排放强度受人类活动的影响显著大于公园绿地；通过利用地面数据校正遥感数据，显著提升了估算精度。研究表明，增加公园绿地面积、减少人类活动干扰可有效提升固碳能力，研究为城市可持续发展提供了有力支撑。

This paper focuses on high-density urban green spaces and explores their role in urban carbon cycling. Based on Sentinel-2(10-meter resolution) and Landsat 8(30-meter resolution) satellite images and ground observation data, a carbon storage estimation model is constructed to quantitatively analyze green space carbon storage, and its seasonal and interannual variation patterns are revealed through 10-year dynamic monitoring(4 times a year). The results show that the carbon emission intensity of affiliated green spaces is significantly more affected by human activities than that of park green spaces. By correcting remote sensing data with ground data, this method significantly improves estimation accuracy. Research has shown that increasing park green space area and reducing human activity interference can effectively enhance carbon sequestration capacity. This paper provides strong support for urban sustainable development.