Markus Neteler

With the rapidly growing availability of Earth observation and geospatial data, the need for scalable geoprocessing solutions is also increasing. Following the paradigm of bringing the algorithms to the data, we have developed the cloud-based geoprocessing platform actinia (https://actinia.mundialis.de and https://github.com/mundialis/actinia_core). This free and open source solution is designed as microservices and can ingest and analyze large amounts of data in a parallelized manner. actinia provides an HTTP REST API around GRASS GIS functionality, extended by ESA SNAP and user scripts and libraries written in Python, C or C++. Core functionality includes processing of raster and vector data and time series of satellite imagery (Landsat, Sentinel-1, Sentinel-2, Pleiades, etc.). actinia is an OSGeo community project since 2019 and a backend of [openEO] (https://openeo.org). Recently added process chain templating, STAC support, a Python client, a QGIS plugin, Jupyter notebooks, and more. This presentation gives an overview about the actinia and its latest developments.