The BIOGEO team use computer-based approaches in combination with theory and observations from controlled laboratory experiments to to space-borne sensors to gain new insights on climate-relevant land surface processes and greenhouse gas fluxes. The team is highly interwoven with the MOSAIC team by several cross-cutting activities and our work is centered around three following topics.
Land surface modelling
Development and application computer-based models of the land surface and its components. The terrestrial biosphere controls the exchange of matter & energy between land, oceans and atmosphere – underlying is a complex interplay among organism and their abiotic environment. We use statistical, process and hybrid modelling approaches in combination with observations from various scales to quantify the biogeochemical implications of biosphere responses to human perturbations
Remote sensing of biomass
Development of new methodologies to monitor biomass from Earth Observations. Forests play a major role in the global carbon cycle through the capture and storage of carbon in trees and soils. Accurate estimation of carbon stocks and fluxes is crucial for informing effective management policies. We use satellite data from coarse to very-high resolution (up to 1 m) coupled with machine learning and deep learning algorithms to monitor forests in real time and beyond any borders.
Anthropogenic greenhouse gas emissions
Development of new methodologies to characterise anthropogenic greenhouse gas emissions
