Mapping multidecadal morphological variability via satellite derived bathymetries

Annette Burke, Hsing-Chung Chang, Hannah E. Power

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

    Abstract

    This paper outlines a novel approach to calibrating satellite derived relative depth surfaces generated using the ratio transform algorithm first proposed by Stumpf et al. The method utilizes raster image equal interval classification to generate depth classes and to identify both the upper and lower limits of sensitivity to the depth signal within the relative depth models. The method was trialed on a multidecadal set of Landsat images for a coastal compartment on the SE Australian coast.
    Original languageEnglish
    Title of host publicationIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
    Subtitle of host publicationproceedings
    Place of PublicationValencia, Spain
    PublisherInstitute of Electrical and Electronics Engineers (IEEE)
    Pages1543-1546
    Number of pages4
    ISBN (Electronic)9781538671504, 9781538671498
    ISBN (Print)9781538671511
    DOIs
    Publication statusPublished - Jul 2018
    EventIEEE International Geoscience and Remote Sensing Symposium (38th : 2018) - Valencia, Spain
    Duration: 22 Jul 201827 Jul 2018

    Conference

    ConferenceIEEE International Geoscience and Remote Sensing Symposium (38th : 2018)
    Abbreviated titleIGARSS 2018
    Country/TerritorySpain
    CityValencia
    Period22/07/1827/07/18

    Keywords

    • satellite derived bathymetry
    • Landsat
    • coastal geomorphology

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