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README.md
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This dataset deals with the mapping of forest species using multi-modal Earth Observation data.<br>
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It is an <b>extension of the existing dataset TreeSatAI by Ahlswede et al.</b><br>
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While the original dataset only
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Ahlswede et al. (https://essd.copernicus.org/articles/15/681/2023/) introduced the TreeSatAI Benchmark Archive, a new dataset for tree species classification in Central Europe based on multi-sensor data from aerial,
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Sentinel-1 and Sentinel-2 1. The dataset contains labels of 20 European tree species (i.e., 15 tree genera) derived from forest administration data of the federal state of Lower Saxony, Germany.
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This dataset deals with the mapping of forest species using multi-modal Earth Observation data.<br>
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It is an <b>extension of the existing dataset TreeSatAI by Ahlswede et al.</b><br>
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While the original dataset only grants access to a single Sentinel-1 & -2 image for each patch, this new dataset compiles all available Sentinel-1 & -2 data spanning a year.
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This integration of temporal information assists in distinguishing between different tree species.
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Notably, we aligned the year of the Sentinel Time Series with that of the aerial patch if it was 2017 or later.
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For preceding years, considering minimal changes in the forest and the need for sufficient temporal context, we specifically chose the year 2017.
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Ahlswede et al. (https://essd.copernicus.org/articles/15/681/2023/) introduced the TreeSatAI Benchmark Archive, a new dataset for tree species classification in Central Europe based on multi-sensor data from aerial,
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Sentinel-1 and Sentinel-2 1. The dataset contains labels of 20 European tree species (i.e., 15 tree genera) derived from forest administration data of the federal state of Lower Saxony, Germany.
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