###### Abstract  
In order to reduce the impact of global warming, forestry carbon sink trading is an effective approach to achieving carbon neutrality, while carbon storage estimation plays an important role as the basis of the whole carbon sink trading. Therefore, an accurate estimation of carbon storage is conducive to the sustainable development of carbon sink trading. In this paper, we use laser SLAM technology to model an artificial forest in three dimensions, extract the tree parameters by the point cloud processing software, and calculate the carbon storage according to the allometric growth equation of the tree species. The experimental results show that the loop path is the best among the three-path planning of ZEB-HORIZON scanner data acquisition. For large-scale plantations, the fusion data acquisition of linear and loop paths by Livox Mid-40 and ZEB-HORIZON LIDAR can be adopted with a highly precise and a complete 3D point cloud obtained. The Lidar360 software is used for single wood segmentation and parameter extraction, and the manual measurement is taken as the quasi-true value. After the measurement accuracy analysis, the carbon storage estimation is met. Using the volume source biomass method in the sample plot inventory method, the carbon storages of camphor and cypress in the experimental area were estimated through the allometric growth equation of camphor and cypress and the international conversion rate.  
laser SLAM technology; 3D Modeling; point cloud fusion; carbon storage 2022120838 15 September 2022 24 October 2022 26 October 2022 26 October 2022 26 October 2022 26 October 2022 26 October 2022 27 July 2022 27  
way to increase carbon sequestration in forestry in China [6; 7]. With the appeal and implementation of forestry carbon sequestration policies, its measurement and monitoring technology has also been further developed. Accurate estimation of forest carbon reserves in carbon sequestration measurement is the basis of the entire carbon sequestration transaction. At present, the main forest carbon reserves estimation methods include sample land inventory, micrometeorology, remote sensing estimation methods, etc. [8]. The sample land inventory method is to establish the most characteristic sample land in the measuring area and use different analysis methods to estimate forest carbon reserves [9]. Micrometeorology is to estimate forest carbon reserves by measuring the energy exchange flux between vegetation CO2 and the atmosphere [10]. The remote sensing estimation method uses remote sensing images to extract vegetation from the images and classify different forest species, and then estimate the carbon storage of trees according to the scale of the remote sensing forest [11]. However, the research on carbon storage estimation through tree feature extraction of point cloud data has become a new hotspot. Most scholars obtained tree point clouds through the unmanned aerial vehicles (UAV) and ground-based 3D lasers [12; 13; 14]. [PERSON] et al. have used spaceborne lidar to map forest canopy height globally [15]. [PERSON] et al. presented the development of a low-cost Unmanned Aerial Vehicle-Light Detecting and Ranging (UAV-LIDAR) system and an accompanying workflow to produce 3D point clouds [16]. [PERSON] et al. optimized the Sampling Area across an Old-Growth Forest via UAV-Borne Laser Scanning, GNSS, and Radial Surveying [17]. There is little research on obtaining tree point clouds using laser simultaneous localization and mapping (SLAM) technology for carbon storage estimation. Therefore, this paper uses laser SLAM technology to obtain high-precision tree point clouds of plantations and extract tree information parameters, and uses the volume-derived biomass method in the sample plot inventory method to estimate carbon reserves.