Extracting trees and structure parameters via integration of LIDAR data and ground imagery

Detailed tree information, such as tree counts, tree heights, crown base heights, diameter at breast height (DBH), and tree biomass, is critical for the effective management and quantitative analysis of trees in urban area. Automatic detection of trees, and their parameters using light detection and ranging (LiDAR) data has been widely employed. However, at the single-tree level along road in urban area, LiDAR data deposed the disadvantages such as space points, no texture information, so that the detailed tree parameters mentioned above cannot successfully be obtain at enough accuracy. This paper presented an integration of LiDAR data and ground mobile truck data. This development is driven by the fact that the information obtained from ground-mobile truck images can be substantially complemented by the data from LiDAR.