Alien and invasive woody species in the dunes of the Wadden Sea Island of Vlieland: a remote sensing approach
In this study we mapped (alien) invasive shrubs for management and conservation purposes. On the study site, the Wadden Sea Island of Vlieland, they are a serious treat for the quality of the grey dune habitat. We developed a remote sensing approach that delivers detailed and standardized maps of (alien) shrub cover. Three classification methods are used: maximum likelihood (ML) classification of aerial photographs, maximum likelihood classification aerial photographs combined with vegetation heights derived from LIDAR data (ML+), and object-based shrub classification.
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| Main Authors: | , , |
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| Format: | External research report biblioteca |
| Language: | English |
| Published: |
Alterra
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| Subjects: | classification, dutch wadden islands, invasion, mapping, nature conservation, netherlands, prunus serotina, remote sensing, rosa rugosa, shrubs, cartografie, classificatie, invasie, natuurbescherming, nederland, nederlandse waddeneilanden, struiken, |
| Online Access: | https://research.wur.nl/en/publications/alien-and-invasive-woody-species-in-the-dunes-of-the-wadden-sea-i |
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| Summary: | In this study we mapped (alien) invasive shrubs for management and conservation purposes. On the study site, the Wadden Sea Island of Vlieland, they are a serious treat for the quality of the grey dune habitat. We developed a remote sensing approach that delivers detailed and standardized maps of (alien) shrub cover. Three classification methods are used: maximum likelihood (ML) classification of aerial photographs, maximum likelihood classification aerial photographs combined with vegetation heights derived from LIDAR data (ML+), and object-based shrub classification. |
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