The Remote sensing department in UFZ aims to develop novel remote sensing products to capture land surface water and vegetation dynamics. It will fully leverage multi-monitoring techniques that allow observing vegetation characteristics, soil moisture and evaporation dynamics at different spatiotemporal scales. The retrieved products and established processing framework will be applied to evaluate and integrate with the hydrological model system mHM, and the forest model FORMIND and to bridge the gap to biodiversity ground assessments. It is envisaged to provide a better prediction of the impacts of climate and land use change on the environment.

Interests

  • Quantification of water cycle at mulscales
  • Land-use classification and vegetaion dynamics derivation
  • Hydro-climatic extremes and ecosystem interactions
  • Modle-data fusion
  • Remote sensing campaign and data processing