Publications in Scientific Journals:
T. Vishel, G. Pegram, S. Sinclair, W. Wagner, A. Bartsch:
"Comparison of soil moisture fields estimated by catchment modelling and remote sensing: a case study in South Africa";
Hydrology and Earth System Sciences,
The paper compares two independent approaches to estimate soil moisture at the regional scale over a 4625 km2 catchment (Liebenbergsvlei, South Africa). The first estimate is derived from a physically-based hydrological model (TOPKAPI). The second estimate is derived from the scatterometer on board the European Remote Sensing satellite (ERS). Results show a good correspondence between the modelled and remotely sensed soil moisture, particularly with respect to the soil moisture dynamic, illustrated over two selected seasons of 8 months, yielding regression R2 coefficients lying between 0.68 and 0.92. Such a close similarity between these two different, independent approaches is very promising for (i) remote sensing in general (ii) the use of hydrological models to back-calculate and disaggregate
the satellite soil moisture estimate and (iii) for hydrological
models to assimilate the remotely sensed soil moisture.
Created from the Publication Database of the Vienna University of Technology.