license: cc-by-4.0 | |
This dataset deals with the mapping of forest species using multi-modal Earth Observation data. | |
It is based on the existing dataset TreeSatAI by Ahlswede et al1. | |
While the original dataset only provides access to one Sentinel-1 & -2 image for each patch, this new dataset gathers all the available Sentinel-1 & -2 data spanning the same year for each patch. | |
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, | |
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. | |
The authors propose models and guidelines for the application of the latest machine learning techniques for the task of tree species classification with multi-label data. | |
Finally, they provide various benchmark experiments showcasing the information which can be derived from the different sensors including artificial neural networks and tree-based machine learning methods. | |
While the original dataset only provides access to one Sentinel-1 & -2 image for each patch, this time-series dataset collects all the available Sentinel-1 & -2 data spanning the same year for each patch. | |