Max Planck Gesellschaft

--- Former member ---

Matthias Forkel

Matthias moved for a PostDoc position to the Remote Sensing research group at TU Wien.


Research Interests

Role of vegetation phenology and dynamics in the Earth system
Methods
- model-data integration
- remote sensing of vegetation
- time series analysis: trends, breakpoints, land surface phenology
- global vegetation modelling
Regional focus: global, with focus on boreal and arctic regions
technical: (spatial) data analysis with R; see for example the course material about how to use spatial data in R or the greenbrown package for analysis of trends and trend changes on earth observation data.

Curriculum Vitae

since 01/2016
PostDoc, Technische Universität Wien, Austria
06/2015
Graduation (Dr. rer. nat.), University Jena, Germany
Thesis: "Controls on Global Greening, Phenology, and the Enhanced Seasonal CO2 Amplitude. Integrating Decadal Satellite Observations and Global Ecosystem Models"
01/2011-12/2015
Researcher (PhD candidate, PostDoc) at MPI for Biogeochemistry, Jena, Germany
06/2010-11/2010
Visiting MSc student at Potsdam-Institute for Climate Impact Research, Research Domain Earth System Analysis, Potsdam, Germany
08/2009-11/2010
Scientific assistant at Department for Earth Observation, University Jena, Germany
Organization of a hyperspectral field campaign inside ESA's EO-LDAS project (Earth Observation Land Data Assimilation Scheme)
10/2008-12/2010
Study of Geoinformatics, University Jena, Germany
Master of Science (Geoinformatics), University Jena, Germany
Majors: Remote Sensing, Hydrological Modeling, GIS
Thesis: "Permafrost-Fire Interactions in the Circumpolar Boreal Zone - An Analysis using Earth Observation Products and Simulations with a Dynamic Global Vegetation Model based on Global Climate Projections"
10/2005-09/2008
Study of Geography, University Jena
Bachelor of Science (Geography), University Jena, Germany
Thesis: "Raum-zeitliche Analyse atmosphärischen Kohlenstoffs in Sibirien mit ENVISAT-SCIAMACHY-Daten"

Software

The greenbrown R package is a collection of functions to analyse trends and trend changes in gridded time series like from satellite observations or climate model simulations. See http://greenbrown.r-forge.r-project.org/ for a description and to receive the code. 

Peer-reviewed publications

(:pubman gruppe=REICH gruppe_2=person person=80770 disc=all weblink=yes order=year:)


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