Estimation of Forest Structure with the Vegetation Structure Perpendicular Index (VSPI) for Dynamic Fire Spread Simulations

Andrea Massetti, Christoph Rudiger, Marta Yebra, James Hilton

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

    Abstract

    Spatial fire spread models simulate the progression of a wildfire across the land under given meteorological conditions. As such, they can improve the fire-fighting real-time response and the rural planning of fire prone areas. However, fire-spread models require high-resolution information of vegetation, which is often difficult to acquire, as spatially variant growth, but also past fire occurrences impact on the spatial variability of the vegetation. Hence, forests often consist of a patchwork of vegetation in different growth stages, which is impossible to consistently map from the ground. In order to address this problem, the Vegetation Structure Perpendicular Index (VSPI) is introduced, here, which is a spatially and temporally continuous proxy for fuel structure derived from Landsat data. Forest age maps are derived by fitting post-fire VSPI time series to an exponential decay curve. The forest age maps derived from VSPI are then used as input into a rate-of-spread model to predict the fire spread of the 2003 Mt Cooke wildfire in Western Australia, as a proof-of-concept.

    Original languageEnglish
    Title of host publication2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages6704-6707
    Number of pages4
    ISBN (Electronic)9781538691540
    DOIs
    Publication statusPublished - Jul 2019
    Event39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Yokohama, Japan
    Duration: 28 Jul 20192 Aug 2019

    Publication series

    NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

    Conference

    Conference39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019
    Country/TerritoryJapan
    CityYokohama
    Period28/07/192/08/19

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