泛欧洲森林地图由地球观测数据和国家森林库存地块的结合生成
Jukka Miettinen1, Johannes Breidenbach2, Patricia Adame3
1VTT Technical Research Centre of Finland, VTT, P.O. Box 1000, FI-02044, Finland.
Data in brief
|June 9, 2025
概括
新的泛欧洲地图详细介绍了使用Sentinel-2和国家森林清单数据的木材量和生物量. 这些高分辨率地图为欧洲各地的森林属性提供了洞察力,有助于模型辅助估计.
科学领域:
- 林业科学 林业科学
- 遥感 遥感 遥感 遥感
- 地理信息系统 (GIS) 是指地理信息系统.
背景情况:
- 准确的森林属性数据对于可持续森林管理和碳库存评估至关重要.
- 现有的泛欧洲森林地图往往缺乏所需的空间分辨率或一致的数据源.
- 对木材量和生物质的高分辨率绘制对于详细的生态和经济分析至关重要.
研究的目的:
- 为了在2020年创建高分辨率 (10x10米) 泛欧洲地图的木材数量,地表生物质,树叶和针叶的比例.
- 为每个地图像素提供预测不确定性的度量.
- 开发一套一致的方法,在欧洲不同类型的森林中绘制森林属性的地图.
主要方法:
- 利用了来自14个国家的Sentinel-2卫星图像,科珀尼克斯陆地覆盖数据和协调的国家森林库存 (NFI) 数据的组合.
- 采用k-近邻 (kNN) 算法 (k=7) 进行映射,整合了大约151,000个NFI字段图.
- 开发了覆盖40个欧洲国家的地图,连续覆盖西大陆.
主要成果:
- 为2020年生成木材数量,地表生物质和树叶和针叶树的比例的高分辨率地图.
- 报告的地表生物质的根平均平方误差在不同加工区的53%至73%之间.
- 观察到欧洲一级的小偏差 (AGB为1.0%),但对低生物质 (<150t/ha) 值的估计过高,对高生物质 (>500t/ha) 值的估计低.
结论:
- 创建的地图代表了欧洲森林属性的新型高分辨率数据集,利用协调的NFI数据和一致的遥感.
- 这些地图对于可视化和作为模型辅助估计中的辅助数据非常有价值,在那里可以减轻偏差.
- 由于潜在的偏差,特别是在极端生物质值方面,我们不建议直接总结地图像素值.
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