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Project C3


Analysing the temporal and spatial dynamics of surface soil moisture using SAR data and process based modelling

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Research Area:
Hydrology, Remote sensing, Pattern analysis, Crop growth, Ecohydrological modeling


project c3

Spatial distribution of modeled surface soil moisture (top 20 cm) of crop fields in the northern part of the Rur catchment on the 29th of January (DOY 29) and the 21st of August 2009 (DOY 233).

Understanding the temporal and spatial patterns of soil moisture at different scales is important for applied tasks such as water and agricultural management, as well as for basic research e.g. improvement of large scale models. The general goals of the sub-project C3 are to improve our understanding of the temporal and spatial patterns of soil moisture at different scales, to diagnose the driving processes, which explain these patterns and their temporal dynamics, and to analyse the effects of soil moisture heterogeneity upon carbon and water fluxes. We pursue these goals by integrating remote sensing and process based modeling. SAR images from ERS, ENVISAT and ALOS were used in the first two phases used to derive surface soil moisture patterns. With the launch new polarimetric SAR systems from 2014 onwards, the frequency of high quality polarimetric C- and L-band SAR observations will improve strongly. The combination of the different systems will provide a repetition rate suitable (at least at times) to directly monitor the temporal development of surface soil moisture patterns. In 2015 three, from 2016 onwards four, polarimetric C-band (RADARSAT-2, SENTINEL-1 A/B) and L-band (ALOS-2, SMAP, SAOCOM A/B) systems will be in orbit. The ecohydrological model DANUBIA is used to derive vegetation status (biomass, water content in plants, phenology) for radar model inversion. Furthermore, DANUBIA is used to analyse soil moisture patterns, scaling behaviour and cause and effect relationships with respect to agricultural management, plant growth and soil moisture dynamics. Based upon these analyses and our understanding of surface soil moisture patterns and scaling properties our task will provide input to further parameterize processes in the Community Land Model (CLM) commonly used by the TR32.


Cooperation partner:
n/a

4 Member(s):

Wolfgang Korres

Dr.
Wolfgang Korres
Principal Investigator
in C3

University of Cologne
Institute of Geography

Zülpicher Str. 45
50674 Cologne
Germany

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+49 (0)221 470 7802
+49 (0)221 470 5124
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wolfgang.korres@uni-koeln.de

 

 

Karl Schneider

Prof. Dr.
Karl Schneider
Principal Investigator
in C3

University of Cologne
Institute of Geography

Zülpicher Str. 45
50674 Cologne
Germany

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+49 (0)221 470 4331
+49 (0)221 470 5124
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karl.schneider@uni-koeln.de

 

 

Tim Reichenau

Dr.
Tim Reichenau
Scientist
in C3

University of Cologne
Institute of Geography

Zülpicher Str. 45
50674 Cologne
Germany

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+49 (0)221 470 6823
+49 (0)221 470 5124
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tim.reichenau@uni-koeln.de

 

 

Sabrina Esch

Dipl. Geogr.
Sabrina Esch
Ph.D. Student
in C3

University of Cologne
Institute of Geography

Zülpicher Str. 45
50674 Cologne
Germany

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+49 (0)221 470 3732
+49 (0)221 470 5124
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s.esch@uni-koeln.de

 

 


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