Talks and Poster Presentations (with Proceedings-Entry):
M. Doubkova, D. Sabel, S. Hahn, C. Pathe, W. Wagner:
"Operational soil moisture from SAR systems: towards SENTINEL-1";
Talk: ISPRS Technical Commission VII Symposium 2010,
- 2010-07-07; in: "ISPRS Technical Commission VII Symposium",
The ESA is currently developing Sentinel-1 - continuation mission after previous SAR missions (ERS-1/-2, ENVISAT SAR) - that is designed for continuous and operational monitoring with revisiting period once every four days. Such a high temporal sampling rate at 20 m resolution is expected to be very useful for soil moisture monitoring. Within the SHARE project we used ENVISAT SAR data to demonstrate the possibility and, more importantly, the need for operational soil moisture monitoring at resolution higher than existing soil moisture services (i.e. MetOp, AMSR-E).
The soil moisture product based on the ENVISAT ASAR Global Mode (GM) uses a change detection approach that scales the normalized backscatter between historical minimum and maximum backscatter values. Assuming roughness effects being constant in time the algorithm avoids problems with roughness parameterization. Besides its simplicity, an attractive feature of the method is that it works without the need for auxiliary data.
Current research aims at the analysis of the possible vegetation effects on the ASAR GM soil moisture dataset. This is achieved via a) qualitative and quantitative analyses of the sigma nought characteristics with geophysical land parameters over the Australian continent and by b) continental validations with hydrological models and in-situ data.
The validation studies and the improved understanding of the vegetation effects will improve ASAR GM soil moisture retrieval and provide essential information before transformation of the algorithm to the SENTINEL-1 data.
Electronic version of the publication:
Created from the Publication Database of the Vienna University of Technology.