Phenological dataset for ecological forecasting - PheDEF - Sentinel-2 image and vegetation indices subsets

This dataset combines phenology and climate data from multiple sources in two tropical forest ecosystems, a moist semi-deciduous and a dry semi-deciduous forest, that can be used for machine learning applications in climate, forests, and biodiversity conservation at community and landscape scales. This dataset includes Sentinel-2 image subsets (Sentinel-2 Level 2A Surface Reflectance) and vegetation indices extracted from them.
Images were downloaded using the OpenEO Python API of Copernicus Data Space Ecosystem (https://dataspace.copernicus.eu/). To calculate vegetation indices, bands were scaled using the scaling Factor SR = (DN /10000) in the product documentation available at https://docs.sentinel-hub.com/api/latest/data/sentinel-2-l2a/. Indices were then multiplied by 10000, and the datatype was set to int16.