Direkt zum InhaltDirekt zur SucheDirekt zur Navigation
▼ Zielgruppen ▼

Faculty of Mathematics and Natural Sciences - Geomatics

Reconstructing Forest Disturbance Dynamics in Europe

This DAAD funded project aims at reconstructing the historic (1985-2015) forest disturbance dynamics of central European forests by combining Landsat time series analysis and statistical modeling. The project is a collaborative project between the Geomatics Lab and the Institute of Silviculture at the University of Natural Resources and Life Sciences (BOKU) in Vienna.

Figure 1: A Landsat Tasseled Cap (TC) image before (A) and after (B) a bark beetle outbreak in the Bavarian Forest national park. Changes in TC wetness indicate substantial but spatial variable changes in forest structure resulting from bark beetle induced tree mortality (C).


Funding

Funded by the German Academic Exchange Service (DAAD), with funds from the German Federal Ministry of Education and Research (BMBF) and the People Programme (Marie Curie Actions) of the European Union’s Seventh Framework Programme (FP7/2007–2013) under REA grant agreement Nr. 605728 (P.R.I.M.E. - Postdoctoral Researchers International Mobility Experience).

Project members

prtrait of Cornelius SenfCornelius Senf (principal investigator)

 

 

 

 

Partner institution(s)

Rupert Seidl, Institute of Silviculture, University of Natural Resources and Life Sciences (BOKU) in Vienna

External information

Senf, C. and Seidl R. (2017) Natural disturbances are spatially diverse but temporally synchronized across temperate forest landscapes in Europe. Global Change Biology. Link

Oeser, J., Pflugmacher, D., Senf, C., Heurich, M., and Hostert, P. (2017) Using intra-annual Landsat time series for attributing forest disturbance agents in Central Europe. Forests, 8, 251. Link

Senf, C., Pflugmacher, D., Hostert, P., and Seidl, R. (2017) Using Landsat time series for characterizing forest disturbance dynamics in the coupled human and natural systems of Central Europe. ISPRS Photogrammetry and Remote Sensing, 130, 453-463. Link

Senf, C., Seidl, R., and Hostert, P. (2017) Remote sensing of forest insect disturbances: current state and future directions. International Journal of Applied Earth Observation and Geo-information, 60, 49-60. Link