Training on Carbon and Extremes Science with the DeepESDL Platform
- Post by: Science Hub Team
- February 28, 2025
The Institute for Earth System Science and Remote Sensing at Leipzig University, Germany, has been a long-standing partner of ESA, leading various scientific research activities on the DeepESDL platform. Their research primarily focuses on climate change impacts on vegetation, the carbon cycle, and machine learning applications in Earth System Science—leveraging innovative methods to analyse complex, multivariate datasets effectively.
Beyond research, the institute plays a key role in educating the next generation of Earth system scientists, equipping them with the skills needed to tackle the challenges of working with vast Earth observation datasets. This effort is embedded within the Master program “Earth System Data Science and Remote Sensing.”
With the DeepESDL platform now fully operational, capturing user needs and showcasing its capabilities is crucial. To this end, the platform technical team led by Brockmann Consult has partnered with the Master program and ESA to organize a dedicated training session for students, leveraging sponsorship from the Network of Resources. As part of this initiative, students from Leipzig University’s M.Sc. program will visit ESA for a week-long training to explore ESA’s remote sensing programs and utilize DeepESDL for research projects. Their focus will be on characterizing vegetation carbon uptake and analyzing the impacts of extreme climate events and wildfires on ecosystems.
The training will take place at the ESRIN Science Hub from March 3–7, 2025, with a special emphasis on Carbon Science. Given the location, the program will also introduce students to ESA’s most relevant carbon-focused missions, including the upcoming 7th Earth Explorer, BIOMASS—ESA’s flagship forest mission—set to launch aboard a Vega-C rocket from Europe’s Spaceport in French Guiana in April 2025. Read more about BIOMASS here.
This training aims to strengthen students’ expertise in Earth observation science by harnessing cutting-edge cloud technologies. Additionally, it fosters collaboration and aligns with the objectives of ESA’s Science Clusters on Carbon Science and Extremes & Disaster Science.
Learn more about ESA’s Science Clusters: