Urban forest topographical mapping using UAV LIDAR

5th Geoinformation Science Symposium 2017

地球科学;计算机科学

Putut Ash Shidiq, Iqbal^1 ; Wibowo, Adi^1 ; Kusratmoko, Eko^1 ; Indratmoko, Satria^1 ; Ardhianto, Ronni^1 ; Prasetyo Nugroho, Budi^1

Department of Geography, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Kampus Depok, Indonesia^1

关键词: Acquisition time;    Agricultural sector;    Government institutions;    High resolution data;    Light detection and ranging;    Manual classification;    Mining companies;    Remote sensing system;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/98/1/012034/pdf
DOI  :  10.1088/1755-1315/98/1/012034

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Topographical data is highly needed by many parties, such as government institution, mining companies and agricultural sectors. It is not just about the precision, the acquisition time and data processing are also carefully considered. In relation with forest management, a high accuracy topographic map is necessary for planning, close monitoring and evaluating forest changes. One of the solution to quickly and precisely mapped topography is using remote sensing system. In this study, we test high-resolution data using Light Detection and Ranging (LiDAR) collected from unmanned aerial vehicles (UAV) to map topography and differentiate vegetation classes based on height in urban forest area of University of Indonesia (UI). The semi-automatic and manual classifications were applied to divide point clouds into two main classes, namely ground and vegetation. There were 15,806,380 point clouds obtained during the post-process, in which 2.39% of it were detected as ground.