Full title
From remote sensing to species composition modelling of European permanent grassland systems under drought and heat stress
General goals
Clever-Grass contributes to synergies of complementary expertise in: Objective 1) Numerical modelling of grassland physiology to explore the mechanism of individual and co-occurring grasslands to biomass allocation across different environmental gradients (drought and heat stresses)
Objective 2) Linking between remote-sensing, and artificial intelligence for regional characterization and capturing surface heterogeneity;
Objective 3) Benefiting from Bayes theory and Monte-Carlo-based mathematics methods for integration of remote sensing data into models and uncertainty analysis for providing site-specific parameterization and management of grasslands.
Related publication
Jahanbakhshi F, Kamali B (shared first co-author), Ahmadi SH, Bazzo C, Mosebach P, Haub A, Gaiser T, Species diversity and variability of dominant species in a wet grassland ecosystem, under review
Jahanbakhshi, F.; Kamali B (shared first co-author), Ahamdi SH, Bazzo C, Vianna M, Gaiser T, A4 systematic analysis on the factors regulating root-to-shoot ratio of grasses, under revision
Funded by
Transdisciplinary Research (TRA) grant for mathematical modeling-University of Bonn
