Using Intra-Annual Landsat Time Series for Attributing Forest Disturbance Agents in Central Europe
AbstractThe attribution of forest disturbances to disturbance agents is a critical challenge for remote sensing-based forest monitoring, promising important insights into drivers and impacts of forest disturbances. Previous studies have used spectral-temporal metrics derived from annual Landsat time series to identify disturbance agents. Here, we extend this approach to new predictors derived from intra-annual time series and test it at three sites in Central Europe, including managed and protected forests. The two newly tested predictors are: (1) intra-annual timing of disturbance events and (2) temporal proximity to windstorms based on prior knowledge. We estimated the intra-annual timing of disturbances using a breakpoint detection algorithm and all available Landsat observations between 1984 and 2016. Using spectral, temporal, and topography-related metrics, we then mapped four disturbance classes: windthrow, cleared windthrow, bark beetles, and other harvest. Disturbance agents were identified with overall accuracies of 76–86%. Temporal proximity to storm events was among the most important predictors, while intra-annual timing itself was less important. Moreover, elevation information was very effective for discriminating disturbance agents. Our results demonstrate the potential of incorporating dense, intra-annual Landsat time series information and prior knowledge of disturbance events for monitoring forest ecosystem change at the disturbance agent level. View Full-Text
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Oeser, J.; Pflugmacher, D.; Senf, C.; Heurich, M.; Hostert, P. Using Intra-Annual Landsat Time Series for Attributing Forest Disturbance Agents in Central Europe. Forests 2017, 8, 251.
Oeser J, Pflugmacher D, Senf C, Heurich M, Hostert P. Using Intra-Annual Landsat Time Series for Attributing Forest Disturbance Agents in Central Europe. Forests. 2017; 8(7):251.Chicago/Turabian Style
Oeser, Julian; Pflugmacher, Dirk; Senf, Cornelius; Heurich, Marco; Hostert, Patrick. 2017. "Using Intra-Annual Landsat Time Series for Attributing Forest Disturbance Agents in Central Europe." Forests 8, no. 7: 251.