@inproceedings{6db23c43e1b449678890dcb48d8d2e36,
title = "Comparison of TLS and ULS Data for Wildlife Habitat Assessments in Temperate Woodlands",
abstract = "This study employs LiDAR technology to calculate vegetation structural metrics that may be useful for assessing habitat quality and predicting the presence and abundance of structurally sensitive animal species. We compare outputs from two LiDAR platforms, an Unmanned Aerial Vehicle (RIEGL miniVUX-1UAV LiDAR; ULS) and a Terrestrial Laser Scanner (Topcon GLS2000; TLS) that we used to collect structural data from a critically endangered woodland ecosystem in SE Australia. This is also the site of a longterm restoration study and ongoing wildlife population monitoring. Despite better overall coverage by the ULS, the TLS provided considerably higher values for ground layer vegetation complexity and higher vegetation volume for the mid-story and canopy strata. We discuss the factors that may influence these observations and implications for using these sensors for habitat assessments.",
keywords = "LiDAR, UAV, structure, terrestrial vegetation, wildlife conservation",
author = "Shukhrat Shokirov and Levick, {Shaun R.} and Tommaso Jucker and Paul Yeoh and Kara Youngentob",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 ; Conference date: 26-09-2020 Through 02-10-2020",
year = "2020",
month = sep,
day = "26",
doi = "10.1109/IGARSS39084.2020.9323451",
language = "English",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "6097--6100",
booktitle = "2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings",
address = "United States",
}