Share Email Print
cover

Proceedings Paper

Potential of UAV lidar systems for geospatial mapping
Author(s): Ahmed F. Elaksher; Subodh Bhandari; Christian A. Carreon-Limones; Rachel Lauf
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Recently, developments in airborne sensors and easy to fly, reliable, low-cost commercial Unmanned Aerial Vehicles, UAVs, have opened a new era for high quality and reliable mapping from UAVs using remote sensing techniques. The restricted payload capacity of low-cost UAVs imposes constraints on the quality of their navigation systems and the sensors they can carry. Therefore, LIDAR sensors with limited sample rate are utilized within the UAV system. This article introduces several applications that utilizes UAV-LIDAR systems, processing of a sample dataset downloaded from the internet and a new system that is being developed and flown. Our data was collected with DJI S900 Hexacopter and a VLP-16 LIDAR system from Velodyne. We then process the raw data to generate the 3D point cloud. The test site is a farming site so we classified the points into ground points and vegetation points. The results are very promising as an early research investigation. Currently, we are planning for other flights with more rigorous systems and quantitative evaluation.

Paper Details

Date Published: 30 August 2017
PDF: 13 pages
Proc. SPIE 10406, Lidar Remote Sensing for Environmental Monitoring 2017, 104060L (30 August 2017); doi: 10.1117/12.2275482
Show Author Affiliations
Ahmed F. Elaksher, California State Polytechnic Univ., Pomona (United States)
Subodh Bhandari, California State Polytechnic Univ., Pomona (United States)
Christian A. Carreon-Limones, California State Polytechnic Univ., Pomona (United States)
Rachel Lauf , California State Polytechnic Univ., Pomona (United States)


Published in SPIE Proceedings Vol. 10406:
Lidar Remote Sensing for Environmental Monitoring 2017
Upendra N. Singh, Editor(s)

© SPIE. Terms of Use
Back to Top