Stefanie Lumnitz is an open source advocate at the European Space Agency and works on the BIOMASS Multi-Mission Analysis Platform (MAAP) to accelerate our understanding of forest ecosystems and global carbon cycles. She is fascinated by cutting edge-technological advancements in the fields of Machine Learning, Visualization and Remote Sensing and focuses her work on how these advancements can be used and shared openly to solve problems due to global change in the 21st century.
Stefanie is a core developer and maintainer of the Python Spatial Analysis Library (PySAL) and splot. She has a BSc in Geography from Ludwigs-Maximilians University, a BSc. in International Land Management from the Technical University of Munich and an MSc (hons) in Forestry from the University of British Columbia.
Creating open collaboration in the cloud with ESA's BIOMASS Multi-Mission Analysis and Algorithm Platform (MAAP)
The goal of the Multi-Mission Algorithm and Analysis Platform of the European Space Agency (ESA-MAAP) is to bring together mission data with hosted processing and collaborative tools. In this talk I will show how we use the Open Source Scientific Python stack to design the platform and create the opportunity to build a community of users for new Earth Observation missions like ESA's BIOMASS mission.