基于机载LiDAR技术的林地面积调查应用研究

Application Research on Forest Area Survey Based on Airborne LiDAR Technology

传统林地用地分布及面积统计方式多为人工实地测量及遥感影像解译等,工作量大、效率较低,难以满足林地用地数据信息化管理的需求。本文利用机载LiDAR系统对某高原地区的林地用地进行调查分析,通过外业航摄获取研究区高密度点云数据,并基于粗差分布规律对原始点云进行去噪,分离地面点,从而剔除其他地物类型点云数据的影响,最大程度保留林地点云;通过高程判断勾绘研究区林地边界,利用Shoelace Theorem原理统计林地面积,并采用人工测量方式对机载LiDAR系统测量成果进行检核,结果表明:机载LiDAR系统面积统计偏差均在10%以下,具有较强的可靠性,为林地用地分布及面积统计提供了更为便利可靠的解决方案。

The traditional forest land distribution and area statistics methods are mostly manual field measurement and remote sensing image interpretation,which have large workload and low efficiency,and are difficult to meet the needs of forest land data information management.In this paper,the airborne LiDAR system is used to investigate and analyze the forest land in a plateau area,and the high-density point cloud data in the study area is obtained through field aerial photography.The original point cloud data is denoised based on the gross error distribution law.In this way,the influence of other ground object types on point cloud data is eliminated,and the forest location cloud is preserved to the greatest extent;the forest boundary of the study area is delineated by the elevation judgment,the forest area is calculated by the Shoelace Theorem principle,and the measurement results of the airborne LiDAR system are verified by manual measurement.The inspection results show that the statistical deviation of the airborne LiDAR system area is less than 10%,which has strong reliability,and provides a more convenient and reliable solution for the distribution and area statistics of forest land.