Analysis of spatial variation of height of tree in urban area, using lidar data

Abstract

Estimate with greater precision the height of plants has been a challenge for the scientific community working with this theme. The objective this study is to evaluate the spatial variation of tree heights at different spatial scales to areas of the city of Recife, such as LiDAR remote sensing data. The LiDAR data were processed in QT Modeler (Quick Terrain Modeler v. 8.0.2) software from Applied Imagery. The Treevaw software was utilized to estimate the heights and diameters of plants. The results obtained for height of tree in area vegetable in this study with lidar and treevaw were consistent with public data of field. For area with different alvos, urban area, have confusion between tree and line electric. But, this problem can be resolved with clean this confuse data. It is possible analyze the height of tree in urban area with lidar and Treevaw. This type of process can help in fast obtain data and information of structural characterization of tree in urban area.