Journal of Remote Sensing & GIS

Automatic tree growth observation using laser scanners

World Congress on GIS & Remote Sensing

August 01-03, 2016 New Orleans, Louisiana, USA

Beril Sirmacek

Delft University of Technology, Netherlands

Posters & Accepted Abstracts: J Remote Sensing & GIS

Abstract:

Development and increasing availability of laser scanning technology has been providing new opportunities to researchers to develop new computer vision and 3D modeling applications in order to reconstruct objects of interest in computer environment. In the outdoor environment, trees are one of the most important objects of interest to monitor, model and measure. Trees do vital job for well-being of all living species. They provide beauty, food, protected space for animals, but more importantly, they absorb carbon dioxide and provide oxygen which contributes to environmental circulations. Therefore, for scientists, for municipalities and other government agencies, it is important to track number of trees and to measure their physical attributes for scientific analysis such as carbon dioxide absorbing volume. Thanks to laser scanning technology which provides opportunity to do all these physical measurements in the computer environment without disturbing the nature and also by using less man effort. In the last decade, scientists have offered algorithms to detect trees from laser scanning point clouds and to generate 3D models of them in the computer environment. In this talk, a method to detect individual trees from laser scanning point clouds is introduced briefly. The method also provides trunk measurements of trees which provide important information about the tree growth. The test results are shown for TUDelft campus point clouds which are acquired by different sensors which are; mobile, airborne and terrestrial laser scanners.

Biography :

Email: bsirmacek@gmail.com