Surface soil moisture pattern analysis using SAR data und modelling (C03)

• Subject Area: Geodesy, Photogrammetry, Remote Sensing, Geoinformatics, Cartography ; Hydrogeology, Hydrology, Limnology, Urban Water Management, Water Chemistry, Integrated Water Resources Management
• Term: from 2007 to 2018
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 15232683

We investigate cause and effect relationships leading to surface soil moisture patterns using new observational opportunities arising from recently and soon to be launched space-borne polarimetric SAR systems. Combined with a model-based approach we particularly investigate the impacts of plant growth dynamics and agricultural management. By integrating remote sensing and model-based methods we will contribute to a) a better understanding of interactions of natural processes and agricultural management, b) an improved understanding of scaling properties of soil moisture, and c) an improved soil and plant parameterization for CLM.

• DFG Programme: CRC/Transregios
• Subproject of: TRR 32: Patterns in Soil-Vegetation-Atmosphere Systems: Monitoring, Modelling and Data Assimilation
• Applicant Institution: Rheinische Friedrich-Wilhelms-Universität Bonn
• Co-Applicant Institution: Universität zu Köln
• Project Heads: Professor Dr. Peter Fiener, until 12/2014; Dr. Wolfgang Korres; Professor Dr. Karl Schneider