快速,可重复的树木,和林地息地 (THaW) 的景观规模绘制,使用空中LiDAR和太空SAR数据
David J Luscombe1, Naomi Gatis1, Karen Anderson2
1Centre for Resilience in Environment, Water and Waste (CREWW) Faculty of Environment, Science and Economy University of Exeter Exeter UK.
Ecology and evolution
|May 30, 2023
概括
使用LiDAR和Sentinel-1SAR数据绘制英国树木,树和林地 (THaW) 息地地图显示,较小的THaW特征被严重低估. 这为监测息地变化和告知保护工作提供了新的基准.
科学领域:
- 生态学和遥感技术的发展
- 地理空间分析是什么
- 环境监测 环境监测
背景情况:
- 树木,树和林地 (THaW) 息地对于英国的生物多样性和生态系统服务至关重要.
- 当前的农业政策转变需要对THaW分布和动态进行更新评估.
- 精细分辨率的映射对于了解林等息地至关重要.
研究的目的:
- 通过使用高分辨率LiDAR数据,快速量化THaW在英国景观中的分布.
- 用Sentinel-1SAR数据监测THaW息地的年内和年间的树冠变化.
- 开发一个开放访问工具包用于THaW监控.
主要方法:
- 处理空中LiDAR数据以创建2米空间分辨率的THaW基线,位置精度>90%.
- 整合LiDAR和Sentinel-1SAR数据,用于检测时间变化 (每3个月间隔).
- 使用谷歌地球引擎进行基于云的处理,并开发一个开放访问的Web应用程序.
主要成果:
- 空载LiDAR有效地在精细的空间尺度上建立了THaW基线.
- 卫星1的SAR数据与LiDAR相结合,可以快速跟踪天花板的变化.
- 在现有数据库中发现,与较高的树木 (>15m,90%) 相比,THaW的树冠高度为3-15m的树木显著不足 (仅为50%).
结论:
- 现有的国家数据库大大低估了较小且不太连续的THaW特征的范围.
- 开发的方法提供了一个可靠的框架,用于准确和动态的THaW息地监测.
- 这种方法对于英国自然资本评估和保护策略的信息至关重要.
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