Spatiotemporal patterns in vegetation functioning

The goal is to study heterogeneity of ecosystem functions (productivity and water use proxies) at different spatial scales by linking proximal sensing of ecophysiological variables (in ground control and UAV studies), eddy covariance data and remote sensing (satellite) for better characterization of plant production processes/plant stress states for using in future expert systems in agriculture.

  • Measuring primary ecosystem functions (primary ecosystem functions like evapotranspiration (ET) and carbon uptake) and micrometeorological variables by eddy-covariance technique.
  • Leaf/plant scale proximal sensing and direct measurements on plant ecophysiological functions (photosynthesis, transpiration, stomatal behaviour, water relations, chlorophyll content).
  • Measuring Sun induced Fluorescence (SIF) in the field is a major step toward better characterization of stress state of the vegetation.
  • UAV-based proximal sensing of surface temperature and reflectance.
  • Deriving and validating ET maps from SEBS (Surface Energy Balance System) modelling.
  • Linking satellite images (Sentinel-2, Sentinel-3) and proximal measurements.

Study sites include crop- and grasslands in Hungary.
Team: Zoltán Nagy (PI of the project), Krisztina Pintér, Szilvia Fóti, Zsolt Csintalan, János Balogh, Zoltán Vekerdy, Márton Tolnai
Duration: 2019-2020
As a university institute we encourage students to participate in the project.
Contact: Zoltán Nagy
Financial support: ESA