Assessing the stability of canopy maps produced from UAV-LiDAR data

Wallace, L 2013, 'Assessing the stability of canopy maps produced from UAV-LiDAR data', in Proceedings of the 2013 IEEE International, Geoscience and Remote Sensing Symposium (IGARSS), Melbourne, Australia, 21 - 26 July 2013, pp. 3879-3882.


Document type: Conference Paper
Collection: Conference Papers

Title Assessing the stability of canopy maps produced from UAV-LiDAR data
Author(s) Wallace, L
Year 2013
Conference name IGARSS 2013
Conference location Melbourne, Australia
Conference dates 21 - 26 July 2013
Proceedings title Proceedings of the 2013 IEEE International, Geoscience and Remote Sensing Symposium (IGARSS)
Publisher IEEE
Place of publication United States
Start page 3879
End page 3882
Total pages 4
Abstract The use of Unmanned Aerial Vehicles (UAVs) as a remote sensing platform offers a unique combination of high resolution data collected within relatively low cost targeted missions. This paper investigates the use of UAV-borne Light Detecting and Ranging (LIDAR) systems (UAVL) as a platform to gain knowledge of the canopy structure within forested environments. Repeat datasets were collected with a UAVL system over six Eucalyptus Globulus plots with varying levels of canopy cover. The relative stability of four metrics for estimating canopy structure, First Cover Index (FCI), Last Cover Index (LCI), a Grid based method (GCI) and an Alpha shape based method (ACI) were assessed using these repeat datasets. It is shown that the repeatability of the GCI metric is subject to variations in plot level point density (standard deviation of 4.06 %). Instabilities in the FCI (1.91 %) and LCI (2.28 %) metrics were found to be related to the properties of the sensor and the lasers interaction with the canopy. The ACI metric (1.86 %) was found to be the most stable.
Subjects Photogrammetry and Remote Sensing
DOI - identifier 10.1109/IGARSS.2013.6723679
Copyright notice © 2013 by The Institute of Electrical and Electronics Engineers, Inc. All rights reserved.
ISBN 9781479911141
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