Abstract
Major storm events in many parts of Austria repeatedly led to the destruction of forest areas in recent years. Moreover, the windfall zones in conjunction with particularly very hot and dry summers provided ideal conditions for a progressive and continual infestation of spruce bark beetles. Therefore there is a strong need to support the estimation of forest disturbance in a cost-efficient manner. Remote sensing enables to extract valuable information to detect and analysis forest dynamics even from areas difficult to access. The Kalkalpen National Park has initiated a pilot study together with the Interfaculty Department of Geoinformatics-Z_GIS (Salzburg University)to establish an operational framework for automated extraction of affected forest areas. Based on satellite imagery the analysis was complemented by available in-situ datahelp to identify area-effective by stressors such as storms and bark beetle attacks that result in deadwood. The spatial variability and dynamic of the forest ecosystem can be investigated and visualized. Data integration, data analyses and change detection were performed by an object-based image analysis (OBIA) methodology.
Originalsprache | Englisch |
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Seitenumfang | 6 |
Publikationsstatus | Veröffentlicht - 2013 |
Veranstaltung | 5th Symposium for Research in Protected Areas 2013 - Mittersill, Österreich Dauer: 10 Juni 2013 → 12 Juni 2013 |
Konferenz
Konferenz | 5th Symposium for Research in Protected Areas 2013 |
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Land/Gebiet | Österreich |
Ort | Mittersill |
Zeitraum | 10/06/13 → 12/06/13 |
Systematik der Wissenschaftszweige 2012
- 105 Geowissenschaften
- 401 Land- und Forstwirtschaft, Fischerei