My research interest
is about linking the fields of remote sensing and forest modelling. Lidar and
Radar remote sensing allow us to measure forest structures at large scales.
Dynamic forest models, like
, provide tools to study the processes behind the structures. Combining both improves our understanding of how canopy height structure is related to above ground biomass and carbon dynamics. The focus lies on tropical forests. They play an important role in the global carbon cycle, but they are structurally complex and less well covered by inventories compared to other ecosystems.
Currently, I work on the question of how distributions of different forest attributes, such as biomass, growth and mortality, vary with spatial scale. I use forest models of different complexities to investigate how model parameters can be upscaled to obtain coarse-scale simulation results, which are consistent with aggregated fine-scale simulation results. Upscaling and complexity reduction are important for reducing the computational demand of ecological models.
|since 2019||Postdoc at UFZ working for the RedMod project|
|2015 - 2018||PhD student at UFZ working for the Biotrop-X project|
|2015||Research assistant in the REDD+ monitoring group of the Peruvian ministery of environment in Lima|
|2012 - 2014||Forest Information Technology studies (MSc.) at HNE Eberswalde and SGGW Warsaw|
|2006 - 2012||Biology studies (Diploma) at University of Würzburg (Tropical Ecology, Bioinformatics, Vegetation Ecology, Biotechnology) with research stays at University Via Domitia Perpignan (2010) and University of Brunei Darussalam (2011)|
Grid- and individual-based dynamic models and C++ programming :
Lidar and spatial data processing in R, HNE Eberswalde: