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- W2735087910 abstract "The 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." @default.
- W2735087910 created "2017-07-21" @default.
- W2735087910 creator A5006620203 @default.
- W2735087910 creator A5041171844 @default.
- W2735087910 creator A5062877062 @default.
- W2735087910 creator A5067730563 @default.
- W2735087910 creator A5084928163 @default.
- W2735087910 date "2017-07-14" @default.
- W2735087910 modified "2023-10-16" @default.
- W2735087910 title "Using Intra-Annual Landsat Time Series for Attributing Forest Disturbance Agents in Central Europe" @default.
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