用高分辨率无人机数据绘制城市公园的细度碳捕集效益和景观空间驱动因素的地图
Huishan Cheng1, Yihan Wang1, Liang Shan2
1College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou, 350000, China; University Key Lab for Geomatics Technology and Optimized Resources Utilization in Fujian Province, Fuzhou, 350002, China.
Journal of environmental management
|September 22, 2024
概括
无人机多谱数据提供了一种快速而准确的方法来量化城市公园碳封存的好处. 这种方法有助于城市通过绘制景观模式和碳库存来实现碳中和目标.
科学领域:
- 城市生态学 城市生态学
- 环境监测环境监测环境监测
- 遥感是一种远程传感.
背景情况:
- 城市公园提供生态服务,包括碳封存,这对城市实现"双碳"目标至关重要.
- 准确,高效地量化这些碳捕获效益仍然是一个重大挑战.
- 传统的现场调查对于大规模评估来说是耗时和劳动密集的.
研究的目的:
- 开发一种快速,高效和准确的方法,利用无人机多谱数据量化城市公园碳封存效益.
- 构建高分辨率模型,以评估大规模的碳捕集.
- 探索城市公园景观模式与碳封存效益之间的关系.
主要方法:
- 利用无人机 (UAV) 多谱数据进行大面积,高分辨率的建模.
- 基于树种的碳储存计算,并与森林类型估计进行比较.
- 使用GBDT,RF和BP神经网络开发了三种预测模型 (植被指数,纹理特征,组合),以生成碳封存效益图.
主要成果:
- 无人机多光谱图像为测量城市公园碳封存提供了传统现场调查的快速和准确的替代方案.
- 生成了高分辨率的碳封存效益地图,揭示了景观结构对碳库存的影响.
- 证明了不同的建模方法在估计碳捕集效益方面的有效性.
结论:
- 无人机多谱技术是评估城市公园碳封存效益和创建效益图的可行工具.
- 了解景观模式是优化城市公园碳捕获的关键.
- 这些发现支持城市规划和政策,以实现碳中和目标.
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