 This paper proposes a new method called Feature Level Point Cloud Fusion, FFATTA, for fusing LiDAR data from different sources. This method uses differential global navigation satellite system, GPS, to georeference the LiDAR data from different sources, then extracts features from each source and performs spatial join to create a single dataset. The resulting dataset is used to optimize tree parameters and calculate total volume. The authors found that the proposed method has high accuracy with an error rate of 3.09%. Additionally, the method is easy to use and can be applied to large areas. This article was authored by LiJegua, Yanjie Wu, Lei Deng, and others.