利达GEDI衍生树冠高度异质性揭示了森林生态系统生物多样性的模式
Michele Torresani1, Duccio Rocchini2,3, Alessandro Alberti1
1Free University of Bolzano/Bozen, Faculty of Agricultural, Environmental and Food Sciences, Piazza Universitá/Universitätsplatz 1, 39100 Bolzano/Bozen, Italy.
概括
太空传输的GEDI LiDAR数据可以通过测量树木高度异质性 (HH) 来估计森林生物多样性. 这种使用GEDI天花板高度模型 (CHM) 的方法显示了全球生物多样性评估的潜力.
科学领域:
- 林业林业 林业 林业 林业
- 遥感 遥感 遥感 遥感
- 生物多样性 生物多样性
背景情况:
- 高度变化假设将树木高度异质性 (HH) 与森林生物多样性联系起来.
- 传统方法依赖于空中LiDAR,限制了数据的可用性.
- 太空运载的LiDAR为更广泛的应用提供了潜在的解决方案.
研究的目的:
- 评估空间GEDI LiDAR数据在估计森林树木物种多样性的有效性.
- 调查树木物种多样性与来自GEDI CHMs的HH之间的关系.
- 评估不同GEDI CHM,空间分辨率,异质指数和森林密度对这种关系的影响.
主要方法:
- 在30米和10米分辨率下使用两种GEDI天花板高度模型 (CHM) 的四个异质性指数计算HH.
- 集成的GEDI数据与Landsat (30m CHM) 和Sentinel-2 (10m CHM) 的数据.
- 在意大利阿尔卑斯山和德国的130个森林地块中验证了该方法,包括回归分析中的森林密度.
主要成果:
- GEDI CHMs成功估计了HH,这与树木物种多样性相关.
- 精度受选择的GEDI CHM数据集,空间分辨率,异质指数和森林密度的影响.
- 太空运输的GEDI LiDAR显示了森林异质性和生物多样性估计的前景.
结论:
- GEDI LiDAR数据是估计森林树木异质性和相关树木物种多样性的宝贵工具.
- 这种方法可以为全球生物多样性估计工作做出贡献.
- 进一步的研究应该考虑数据分辨率和森林密度对最佳应用的影响.
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