基于无人机激光雷达的冠层高度产品验证

Canopy Height Product Validation Based on UAV LiDAR

激光雷达是一种新兴的遥感技术,利用其可以获取高精度的森林冠层高度。本研究概述了现有的各种测量森林冠层高度的技术手段,然后利用塞罕坝机械林场的无人机激光雷达数据,对30 m空间分辨率的全球森林冠层高度产品(简称GFCH)进行了验证。结果表明,该产品与激光雷达获取的冠层高度相关性较弱(R^(2)=0.24),且该产品精度偏低(RMSE=5.58 m),这主要与反演该产品时输入模型的数据质量有关。

Lidar is a new remote sensing technology,which can be used to obtain high-precision forest canopy height.This study summarized the existing technical means for measuring forest canopy height,and used the UAV LiDAR data of Saihanba mechanical forest farm to validate the global canopy height product(GFCH)with 30 m spatial resolution.The results show that the correlation between the product and the canopy height obtained by LiDAR is weak(R2=0.24),and the product has a low accuracy(RMSE=5.58 m),which is mainly related to the data quality of the input model when retrieving the product.