Based On The Ship Lidar Shores Of Lake Vegetation Parameter Estimates

As ground laser mapping technology shows great advantages in fast speed and high accuracy, it has drove a lot of attention in forestry application. Based on boat-borne LiDAR mapping system,this paper majors in extracting vegetation parameters from large amount of point cloud data so as to explore potential applications of boat-borne LiDAR mapping system in forestry.This paper studied point cloud data of Erie Lake in America and analysed differences between data of boat-borne LiDAR and air-borne LiDAR and then got to know the feasibility of using boat-borne LiDAR to estimate vegetation parameters along the lake shore. To estimate vegetation parameters, we depart three-dimensional point data into two parts:ground data and un-ground data.Then we can calculate DEM data by insert un-ground point data. After that,we can get Canpoy Height Model by cutting DEM from DSM. But this paper raise another method based on image processing,which first translate three-dimensional point data into raster data, then decide the maximum as cell value of one pixel. In the end, we can get demanded data using local maximum searching algorithm.Canpoy Height Model data is the most base data of extracting vegetation parameters, on which we can get height of single tree and size of tree canopy.As boat-borne LiDAR data is three-dimensional data getting from one side, near vegetation will keep out rear vegetation so we can only get part of vegetation data, even a little under worse circumstance. Compared to air-borne LiDAR data, boat-borne LiDAR data has unique scanning angle, which is an advantage of vegetation estimation along lake shore on one side and a disadvantage with fragmentary data of vegetation. This paper studied applying boat-borne LiDAR data in vegetation estimation along lake shore, which has never been studied before. We hope it will offer a good reference of later study.