Monitoring and modeling of vegetation and ecosystem dynamics is fundamental in diagnosing and forecasting Earth system states and feedbacks. However, the underlying ecosystem processes are still relatively poorly described by Earth system models. Confronting terrestrial biogeochemical models at multiple temporal and spatial scales with an ever-increasing amount and diversity of Earth observation data is therefore needed.

To this end, the rapidly growing amount of satellite data has fostered the development of novel global Earth observation products of vegetation and ecosystem properties (such as sun-induced fluorescence SIF, microwave vegetation optical depth VOD, biomass, spectral plant traits, fuel moisture content, multi-sensor climate data records, new high-resolution products), which complement more traditional products like NDVI, LAI or fAPAR. In this session, we present the most recent advances in:

(1) the production of global land surface biophysical and biochemical variables from satellite observations;

(2) assessment of plausibility, validation and inter-comparisons of these products;

(3) their use in the development of data-driven models to estimate and analyze ecosystem processes;

(4) their use in studying global ecosystem dynamics related to climate variability and change;

(5) benchmarking and improvement of global vegetation models through statistical analysis and model-data integration techniques.


The latter may consider methodological foci or include applications related to the monitoring and modeling of terrestrial vegetation and ecosystem dynamics for timescales from days to decades, also including multiple data streams.