Im Rahmen der mündlichen Doktorprüfung spricht Sandra Skowronek
Mapping invasive plant species using hyperspectral data
Erfassung invasiver Pflanzenarten mithilfe von Hyperspektraldaten
Biological invasions are among the most important drivers of the decline in biodiversity worldwide. The assessment of invasive plant species by field mapping is tedious and expensive, especially for large or undeveloped areas. Remote sensing is an alternative method to quantify the distribution of invasive plant species. Distribution maps can be used to guide further analysis and management decisions. One of the most successful remote sensing data products for mapping invasive plant species are airborne hyperspectral remote sensing data, providing an unsurpassed spectral as well as a high spatial resolution, allowing to differentiate many invasive target species from their co-occurring vegetation with an acceptable error rate.
In this dissertation, I used such airborne hyperspectral remote sensing datasets in combination with field datasets from the Isle of Sylt in Northern Germany, from three areas in Belgium, and from the Jasper Ridge Biological Preserve in Northern California to map invasive plants. In Germany and Belgium, the target species was the bryophyte Campylopus introflexus, while in California, the target species were the herb Centaurea solstitialis and the grass Phalaris aquatica. Each of the three subprojects showed that mapping invasive plant species using airborne hyperspectral remote sensing data in combination with field data was successful for our target species and produced useful maps. This dissertation contributes methodological as well as species-specific insights on using remote sensing data for mapping invasive plant species, which may facilitate more efficient and reliable (early) detection in the future.
Hierzu ergeht herzliche Einladung.