Title :
Research on extracting the tree height based on LiDAR data
Author_Institution :
Coll. of Sci., Beijing Forestry Univ., Beijing, China
Abstract :
In this paper, extraction of the forest tree height based on LiDAR (Light Detection and Ranging) data was studied. A simple algorithm was proposed to compensate the result computed by the DEMs of first return and last return. The satellite image download from the GoogleEarth was used to facilitate the analysis. The algorithm was tested with these data, and had been proved to be effective. Although the data we used was not suit for extracting tree height, LiDAR has great potential in this field.
Keywords :
feature extraction; forestry; optical radar; remote sensing; vegetation mapping; DEM; GoogleEarth; LiDAR data; forest tree height extraction; light detection and ranging data; satellite image; Algorithm design and analysis; Classification algorithms; Classification tree analysis; Data mining; Laser radar; Remote sensing; Satellites; LiDAR; forest; tree height;
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
DOI :
10.1109/CISP.2010.5647790
