利用由以统一阿拉伯系统为基础的数字照相机和激光数据交换系统组成的协同系统,在高高山山林采用信息聚合方法估算生物量 (Information fusion approach for biomass estimation in a plateau mountainous forest using a synergistic system comprising UAS-based digital camera and LiDAR)

2022 年 4 月 14 日

Information fusion approach for biomass estimation in a plateau mountainous forest using a synergistic system comprising UAS-based digital camera and LiDAR

翻译：利用由以统一阿拉伯系统为基础的数字照相机和激光数据交换系统组成的协同系统,在高高山山林采用信息聚合方法估算生物量

Rong Huang,Wei Yao,Zhong Xu,Lin Cao,Xin Shen

Forest land plays a vital role in global climate, ecosystems, farming and human living environments. Therefore, forest biomass estimation methods are necessary to monitor changes in the forest structure and function, which are key data in natural resources research. Although accurate forest biomass measurements are important in forest inventory and assessments, high-density measurements that involve airborne light detection and ranging (LiDAR) at a low flight height in large mountainous areas are highly expensive. The objective of this study was to quantify the aboveground biomass (AGB) of a plateau mountainous forest reserve using a system that synergistically combines an unmanned aircraft system (UAS)-based digital aerial camera and LiDAR to leverage their complementary advantages. In this study, we utilized digital aerial photogrammetry (DAP), which has the unique advantages of speed, high spatial resolution, and low cost, to compensate for the deficiency of forestry inventory using UAS-based LiDAR that requires terrain-following flight for high-resolution data acquisition. Combined with the sparse LiDAR points acquired by using a high-altitude and high-speed UAS for terrain extraction, dense normalized DAP point clouds can be obtained to produce an accurate and high-resolution canopy height model (CHM). Based on the CHM and spectral attributes obtained from multispectral images, we estimated and mapped the AGB of the region of interest with considerable cost efficiency. Our study supports the development of predictive models for large-scale wall-to-wall AGB mapping by leveraging the complementarity between DAP and LiDAR measurements. This work also reveals the potential of utilizing a UAS-based digital camera and LiDAR synergistically in a plateau mountainous forest area.

翻译：因此,森林生物量估计方法对于监测森林结构和功能的变化是必要的,而森林结构和功能的变化是自然资源研究的关键数据。虽然准确的森林生物量测量在森林盘点和评估中很重要,但高密度测量非常昂贵,涉及在大山区低飞行高度进行空中光探测和测距(LiDAR),在大山区低飞行高度进行高空光探测和测距(LiDAR),目的是用一个系统来量化高地高地山区森林保护区的地面生物量(AGB),该系统将无人驾驶飞机系统(UAS)数字航空相机和LIDAR数字航空测量结合起来,以利用其互补性优势。在这项研究中,我们使用了数字航空摄影测量仪(DAP),其独特的优势是速度、高空间分辨率分辨率和低成本,以弥补在大飞行高度飞行高度上缺乏的森林存量。利用高水平和高速度的UA-DAR轨迹点点支持通过利用高空和高速UAS采集的地形摄取潜力,DAP点云层云层云层和高分辨率研究可以从A-甚高分辨率和高分辨率的图像绘制一个高分辨率和高分辨率的ARC-B-RO-RO-RO-RO-B-RO-RO-RO-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L-L