Since September 2019, I'm a Junior-Professor (with tenure track to full professorship) for Environmental Remote Sensing at the Technical University Dresden.
I'm searching for a PhD candidate with experiences in optical or microwave remote sensing, data analysis (R or Python), and interest in vegetation-related questions. Working place will be the Technical University Dresden, Germany. Apply until 29. July 2019! Details: English | German
We show how changes in climate, human population and vegetation contribute to changes in global fire occurrence in a newly published paper.
Matthias will present Constraining Dynamic Global Vegetation Models With Multiple Satellite Observations at the Living Planet Symposium of the European Space Agency in Milan, Italy.
A new global long-term vegetation dataset from microwave satellites 1988-2018 now in discussion at Earth System Science Data.
Improving a global vegetation-fire model with satellite observations in discussions at Geoscientific Model Development.
At the General Assembly of the European Geoscience Union, Matthias co-convenes the following sessions:
BG2.48 Global Earth observation for improved understanding of terrestrial ecosystem dynamics
BG2.12 Constraining present and future global vegetation dynamics and carbon stocks
Matthias will present two posters on model-data integration (12. Apr 10:45-12:30 A.417 ) and fire (12. Apr 14:00-15:45 A.319 ).
Matthias will present how satellite observations can be used to improve climate-vegetation models at the German-Austrian-Swiss conference for Photogrammetry, Remote Sensind and Geoinformation:
Fernerkundung für Globale Klima-Vegetationsmodelle
Global fire models underestimate the variability of burned area because they misrepresent the effects of plant productivity on fuel production:
Forkel et al. (2019) Biogeosciences.
Matthias will give talks on Monitoring photosynthesis with microwave satellites (Irene's work) and Diverse responses of wildfire burned area to the widespread greening of the Earth
Matthias gave seminars on how to use Earth Observation data to improve global ecosystem models at the University of Birmingham (2018-11-01), University of Exeter (2018-11-07), and at the Imperial College London (2018-11-08).
Watch the presentation recorded at Imperial
Our paper "A data-driven approach to identify controls on global fire activity from satellite and climate observations (SOFIA V1)" published in Geoscientific Model Development received the Best Paper Award 2017 from the Faculty of Mathematics and Geoinformation of TU Wien.