Talks and Poster Presentations (with Proceedings-Entry):
Y. Liu, R. Parinussa, W. Dorigo, R. De Jeu, W. Wagner, M. McCabe, J. Evans, A. Van Dijk:
"Improving satellite soil moisture estimates by combining passive and active microwave observations";
Talk: Remote Sensing and Hydrology,
Jackson Hole, Wyoming, USA;
- 2010-09-30; in: "Remote Sensing and Hydrology",
We propose a methodology to blend soil moisture retrievals from passive (SSM/I, TRMM and AMSR-E) and active (ERS and ASCAT) microwave satellite observations and obtain an improved long-term (1992-2008) global product. The first step is to merge the three passive microwave data sets into a single "passive" product and two active microwave data sets into a single "active" product. This avoids the issue of differences in sensor specifications resulting in different absolute soil moisture values. Next, both data sets are adjusted against a common reference (GLDAS-Noah), which scales both data sets to the same dynamic range and allows the generation of a blended product. The proposed approach has the potential to be applied to existing as well as new missions.
soil moisture; microwave; satellite observations; long term
Created from the Publication Database of the Vienna University of Technology.