The canopy structure and topography dataset of Zhejiang Gutianshan 24-hectare subtropical evergreen broad-leaved forest dynamic plot in 2018
The canopy structure and topographic variables jointly influence the spatiotemporal variation of habitats for important species.However,there remains a considerable scarcity of precise forest canopy structure and topographic data obtained from large-scale forest dynamic plots.LiDAR data,acquired via near-surface remote sensing platforms,enables the precise calculation of canopy structure and topographic variables.This study selected the 24-hectare subtropical evergreen broad-leaved forest dynamic plot located in the core conservation area of Qianjiangyuan National Park as the research object.The point cloud data obtained in 2018 based on near-surface remote sensing platform for this area was analyzed and quality-controlled to acquire canopy structure and topography data.Ground data collected through Real-Time Kinematic(RTK)surveying were used to verify and validate the accuracy of the digital elevation model(DEM).The analysis revealed mean square error of elevation was 0.07 meters,suggesting a high level of accuracy of the dataset.The 24-hectare subtropical evergreen broad-leaved forest dynamic plot represents a typical low-altitude evergreen broad-leaved forest in the central subtropical region.This dataset can provide essential data support for the monitoring and research of biodiversity in subtropical broadleaved evergreen forests.
near-surface remote sensingLiDAR dataforest canopy structuretopographyforest dynamics plotQianjiangyuan National Park
国家科技期刊平台
NSTL
万方数据
