Comparison of TLS and ULS Data for Wildlife Habitat Assessments in Temperate Woodlands

Shukhrat Shokirov, Shaun R. Levick, Tommaso Jucker, Paul Yeoh, Kara Youngentob

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Citations (Scopus)

    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.

    Original languageEnglish
    Title of host publication2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages6097-6100
    Number of pages4
    ISBN (Electronic)9781728163741
    DOIs
    Publication statusPublished - 26 Sept 2020
    Event2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Virtual, Waikoloa, United States
    Duration: 26 Sept 20202 Oct 2020

    Publication series

    NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

    Conference

    Conference2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020
    Country/TerritoryUnited States
    CityVirtual, Waikoloa
    Period26/09/202/10/20

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