Talks and Poster Presentations (with Proceedings-Entry):
"Soil Moisture datasets: Downscaling techniques over Central Europe";
Poster: Earth Observation Summer School 2008,
ESRIN, Frascati, Italy;
- 2008-08-14; in: "Summer School Posters",
Soil moisture is an important parameter for hydrological modeling and crop yield prediction. The ability of radar sensors to monitor soil moisture has been demonstrated in numerous studies. Yet, only coarse resolution (>25km) soil moisture products are available over the European continent. In this work, the soil moisture product derived from the ERS scatterometer data at 50 km spatial resolution is presented and a downscaling technique is evaluated that provides soil moisture at 1 km scale. The presented downscaling technique stands upon the concept of temporal stability of soil moisture.
Despite the high heterogeneity of the study area, additional SM information to that demonstrated by the ERS data could be retrieved from the downscaled product at 1 km spatial resolution. The SM patterns of the downscaled product correlated to the 1 km SM data from the ENVISAT Advanced Synthetic Aperture Radar (ASAR) Global Mode (GM). While these findings are preliminary, they provide promising results for the hydrological and meteorological community operating at spatial scales of 5 km and higher.
Electronic version of the publication:
Created from the Publication Database of the Vienna University of Technology.