Preliminary assessment of the uses of sensors and the spectral properties of weed and native species: in Kosciusko National Park, NSW, Australia

Chad Ajamian, Hsing Chung Chang, Kerrie Tomkins, Hillary Cherry, Mark Hamilton

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

    1 Citation (Scopus)

    Abstract

    This study aims to establish a proof-of-concept of using optical sensors to detect and determine the spectral properties of weed and native species in Kosciusko National Park (KNP), Australia. This involves interpretation of the spectral profile of the two weeds, namely Orange Hawkweed and Ox-Eye Daisy (in field and in lab), in contrast to their surrounding native vegetation. This paper presents a case study into the applicability of hyperspectral sensors, and discusses the collected spectral profiles. The preliminary results indicate that difference in profiles between the weeds and natives is large, and opens further research into determining if the profile is unique enough to then pick-up with remotely-sensed imagery collected by drones, aircraft, or satellites.

    Original languageEnglish
    Title of host publication2017 Eleventh International Conference on Sensing Technology (ICST)
    Subtitle of host publicationproceedings
    Place of PublicationPiscataway, NJ
    PublisherInstitute of Electrical and Electronics Engineers (IEEE)
    Pages265-269
    Number of pages5
    ISBN (Electronic)9781509065264, 9781509065257
    ISBN (Print)9781509065271
    DOIs
    Publication statusPublished - 2017
    Event2017 Eleventh International Conference on Sensing Technology - Sydney, Australia
    Duration: 4 Dec 20176 Dec 2017
    Conference number: 11th

    Conference

    Conference2017 Eleventh International Conference on Sensing Technology
    Abbreviated titleICST
    Country/TerritoryAustralia
    CitySydney
    Period4/12/176/12/17

    Keywords

    • Hyperspectral
    • Invasive Species
    • Multispectral
    • Remote Sensing
    • Spectroradiometry
    • Weed Management

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