OBIALP (2012 – 2015)
Object-based image analysis for monitoring the impact of natural stressors in Alpine forest habitats
The project aims at developing an operational framework for automated analysis of forest areas affected by stressors such as storms or bark beetle attacks. This way, the spatial variability and dynamic of a forest ecosystem will be investigated and visualized. The overall objective is to support decision-making processes for forestry purposes, improved regional and national forest management information and assessing the impact of measures.
This will be achieved by using an object-based image analysis (OBIA) methodology. Methods of regionalization integrated in the OBIA approach are applied to derive forest vegetation units which reflect the current condition of the forest. An advanced classification scheme generates on the basis of the delineated units a forest map, conditioned to the requirements of forest management and maintenance.
Instrument: Austrian Academy of Science, DOC-fFORTE fellowship
Project volume: 90,000 EUR
Contact person: Antonia Osberger
Researchers involved: Dirk Tiede