Forest disturbance monitoring system based on high spatial resolution satellite images in the Kalkalpen National Park

Antonia Osberger, Dirk Tiede, Stefan Lang

Publikation: KonferenzbeitragPaperPeer-reviewed

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.
OriginalspracheEnglisch
Seitenumfang6
PublikationsstatusVeröffentlicht - 2013
Veranstaltung5th Symposium for Research in Protected Areas 2013 - Mittersill, Österreich
Dauer: 10 Juni 201312 Juni 2013

Konferenz

Konferenz5th Symposium for Research in Protected Areas 2013
Land/GebietÖsterreich
OrtMittersill
Zeitraum10/06/1312/06/13

Systematik der Wissenschaftszweige 2012

  • 105 Geowissenschaften
  • 401 Land- und Forstwirtschaft, Fischerei

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