Urban forest topographical mapping using UAV LIDAR

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

Research output: Contribution to journalConference articlepeer-review

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number012034
JournalIOP Conference Series: Earth and Environmental Science
Volume98
Issue number1
DOIs
Publication statusPublished - 20 Dec 2017
Event5th Geoinformation Science Symposium 2017, GSS 2017 - Yogyakarta, Indonesia
Duration: 27 Sep 201728 Sep 2017

Keywords

  • DEM
  • drone
  • LIDAR
  • topography
  • vegetation

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