Input data to run the application described in "Gradual or abrupt? An algorithm to monitor urban vegetation dynamics in support of greening policies"

The dataset includes:

- a bricked raster file with the yearly greenest pixel composites covering the city of Berlin between 1984 and 2021 (each band corresponds to one year). The composites were created in Google Earth Engine using the median value from Landsat collections 4, 5, 7, and 8, after applying the corrections suggested by Zulian et al. (2022) and implemented in their code here: https://code.earthengine.google.com/6f77dca2e8a17407db20ecf9b9fc83a4. 

- a raster file with the administrative area of Berlin. available for download from the portal FIS-Broker. 

Both raster maps are in .tif format, 30 m resolution, EPSG:3035.

The application is described in the article: Cortinovis C., Haase D., Geneletti D. (2023).  Gradual or abrupt? An algorithm to monitor urban vegetation dynamics in support of greening policies. Urban Forestry & Urban Greening.  https://doi.org/10.1016/j.ufug.2023.128030

To replicate it, use this dataset to run the algorithm available at https://doi.org/10.6084/m9.figshare.23668941.v1 (just download the dataset and adjust the paths).