IGNITE: Improved estimation of the ignition danger of forest fires in Austria - remote sensing part
Abstract
The fuel moisture of the litter in the forest is a critical element for estimating the ignition danger of forest fires. The Canadian Fire Weather Index (FWI) currently used in Austria delivers sometimes unsatisfactory results with regard to the prediction accuracy of the ignition danger. Within the framework of the IGNITE project, the aim is to improve the accuracy of the prediction of the ignition danger for Austrian conditions.The basis for this are i) in-situ measurements of the fuel moisture in different forest types, ii) ignition experiments of various fuel materials with different moisture contents, iii) the creation of a spatially high-resolution (100x100m²) vegetation map for the estimation of the ignition danger considering tree species, canopy structure and gaps, litter moisture and topography, and iv) the validation of the FWI using existing forest fire data, the empirical data obtained in the experiments and field campaigns and causal machine learning approaches. The final products are a map of the ignition danger for forest fires based on the vegetation and an improved classification of the FWI, which will be made public available via webservices.
danger index vegetation wild fire remote sensing
Publikationen
Project staff
Markus Immitzer
Dipl.-Ing. Dr. Markus Immitzer MSc.
markus.immitzer@boku.ac.at
Tel: +43 1 47654-85732
BOKU Project Leader
01.04.2022 - 31.03.2025
Ardalan Daryaei
Dr. Ardalan Daryaei MSc.
ardalan.daryaei@boku.ac.at
Tel: +43 1 47654-85740
Project Staff
01.04.2022 - 31.03.2025
Michael Lechner
DDipl.Ing. Michael Lechner B.Sc.
michael.lechner@boku.ac.at
Tel: +43 1 47654-85734
Project Staff
01.04.2022 - 31.03.2025
Franz Suppan
Mag. Franz Suppan
franz.suppan@boku.ac.at
Tel: +43 1 47654-85718
Project Staff
01.04.2022 - 31.03.2025