Remote Sensing Centre for Earth System Research
Leipzig is a vibrant hotspot for creativity in eastern Germany, known for its world-class research in biodiversity and ecosystem research and related areas. The Faculty of Physics and Earth System Sciences at Leipzig University and the Helmholtz Centre for Environmental Research (UFZ) haved teamed up and established the Remote Sensing Centre for Earth System Research to expand research in this area and better understand ecosystems in a changing world
Mission
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How will geo- and ecosystem functions respond to the global environmental and societal transformations?
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What are the spatiotemporal dynamics of change in the land-atmosphere water, energy, and carbon feedback systems?
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How can we quantify and assess Biodiversity-Ecosystem-Functioning (BEF) relationships across scales?
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How can we best integrate remote sensing techniques and modeling frameworks to improve our understanding of the Earth system?
Answering fundamental research questions of this kind and developing the right tools for this endeavour is the scientific mission of the RSC4Earth. Also key to our mission is preparing the next generation of Earth system sciences for addressing this quest.
Featured Publications
Recent Publications
Meet the Team
Groups
Principal Investigators
Hannes Feilhauer
Professor for Remote Sensing in Geo- and Ecosystem Research
Miguel D. Mahecha
Professor for Earth System Data Science
Jian Peng
Professor for Hydrology and Remote Sensing / Head of Remote Sensing Department (UFZ)
Michael Vohland
Professor for Geoinformatics and Remote Sensing
Researchers
Tobias Braun
Earth System Data Science
Eya Cherif
PhD candidate / Remote Sensing in Geo- and Ecosystem Research
Francisco José Cuesta-Valero
Research Fellow / Remote Sensing Department (UFZ)
Daniel Doktor
Senior Scientist & Group Leader of Land Cover & Dynamics
Ida Flik
Research Fellow / Earth System Data Science
Almudena García-García
Postdoctoral scientist / Remote Sensing Department (UFZ)
Claudia Guimarães-Steinicke
Postdoctoral fellow / Remote Sensing in Geo- and Ecosystem Research
Sarah Habershon
Research Assistant / Earth System Data Science
Christopher Hutengs
PhD candidate / Geoinformatics and Remote Sensing
Maksim Iakunin
Post doctoral scientist / Land Cover & Dynamics
Chaonan Ji
Postdoctoral fellow / Earth System Data Science
Julia S. Joswig
Postdoctoral scientist / Remote Sensing in Geo- and Ecosystem Research
Guido Kraemer
Postdoctoral associate / Earth System Data Science
Maximilian Lange
Postdoctoral scientist / Land Cover & Dynamics
Pedro J. Leitão
Postdoctoral scientist / Remote Sensing in Geo- and Ecosystem Research
Antonia D. Ludwig
PhD candidate / Remote Sensing in Geo- and Ecosystem Research
Swapna Mahanand
Postdoctoral associate / Remote Sensing in Geo- and Ecosystem Research
Francesco Martinuzzi
PhD candidate / Earth System Data Science
Daniel Mederer
PhD candidate / Remote Sensing in Geo- and Ecosystem Research
Milena Mönks
Scientific project management in the Breathing Nature initiative / Earth System Data Science
David Montero
PhD candidate / Earth System Data Science
Karin Mora
Postdoctoral fellow / Earth System Data Science
Clemens Mosig
PhD candidate / Earth System Data Science
Kolja Nenoff
Research fellow / Earth System Data Science
Soroor Rahmanian
Postdoctoral fellow / Remote Sensing in Geo- and Ecosystem Research
Elisabeth Rahmsdorf
PhD candidate / Land Cover & Dynamics
Anne Reichmuth
Research fellow / Land Cover & Dynamics
Martin Reinhardt
Postdoctoral fellow / Earth System Data Science
Michael Seidel
PhD candidate / Geoinformatics and Remote Sensing
Maximilian Söchting
PhD candidate / Earth System Data Science
Daria Svidzinska
Postdoctoral fellow / Earth System Data Science
Khalil Teber
PhD candidate / Earth System Data Science
Sebastian Wieneke
Postdoctoral associate / Earth System Data Science
Sophie Wolf
PhD candidate / Earth System Data Science
Support
Angelika Brachmann
Office management / Earth System Data Science
Andreas Schmidt
Scientific Technician & Research Software Engineer / Remote Sensing Department (UFZ)
René Voigt
Technical employee / Physical lab technician
Projects
Awesome Spectral Indices
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
COCAP
COping CAPacity of nations facing systemic crisis – a global intercomparison exploring the SARS-CoV-2 pandemic.
Cubo
Easily create EO mini cubes from STAC in Python.
DeepExtremes
Develop and test novel artificial intelligence explanatory tools to decipher compound events (e.g., drought and heatwave) based on “mini-cubes” with high spatial resolution.
DeepFeatures
This project aims to create an holistic datacube with latent space variables based on Sentinel-2 spectral indices
Digital Forest
Develop a near real-time forest monitoring concept and capitalize on latest advances in AI for predicting major impacts of climate extremes.
Earth System Data Lab
The Earth System Data Lab is a virtual laboratory providing global earth observation data sets and processing tools.
Forest Condition Monitor
Establishing a national forest monitor to assess and visualise vegetation condition for a better risk-management of German forests.
ml4earth
Deliver novel AI techniques for earth observation satellite data for studies in earth and climate sciences
MoDEV
The project MoDEV (Model-Data fusion for understanding Environmental Variability) investigates the interplay between carbon and water cycles for three biomes: forest, grassland and agriculture with special focus on the impacts of extreme hydrologic and climatic events as well their long-term trends.
NFDI4Biodiversity
Deliver practical tools for researchers and improve data availability for environmental studies/ecology.
NFDI4Earth
Addresses the digital needs of researchers in Earth System Sciences with the aim to understand the functioning of all subsystems of the Earth system and their interactions.
PARSe Biodiversity
Biodiversity effects on Plant-Atmosphere interactions analysed with Remote Sensing (PARSe Biodiversity)
Satflux
Project to derive long-term, near-global ground heat flux estimates from satellite remote sensing data. These estimates will improve our understanding of the recent changes in subsurface conditions and will allow to estimate global changes in ground heat storage during the last 10 to 20 years
TEE Cube
Time-varying AI-based mapping of ecosystem conditions and extents using multi-source Earth observation data cubes - TEE cube
Virtual Lab
The Virtual Lab provides computing infrastructure for teaching.