HR: 16:40h
AN: H54A-02 INVITED     [Abstracts]
TI: A First Look at ASCAT Soil Moisture Products
AU: * Bartalis, Z
EM: zb@ipf.tuwien.ac.at
AF: Institute of Photogrammetry and Remote Sensing, Vienna University of Technology, Gusshausstrasse 27-29/E122, Wien, 1040, Austria
AU: Wagner, W
EM: ww@ipf.tuwien.ac.at
AF: Institute of Photogrammetry and Remote Sensing, Vienna University of Technology, Gusshausstrasse 27-29/E122, Wien, 1040, Austria
AU: Naeimi, V
EM: vn@ipf.tuwien.ac.at
AF: Institute of Photogrammetry and Remote Sensing, Vienna University of Technology, Gusshausstrasse 27-29/E122, Wien, 1040, Austria
AU: Hasenauer, S
EM: sh@ipf.tuwien.ac.at
AF: Institute of Photogrammetry and Remote Sensing, Vienna University of Technology, Gusshausstrasse 27-29/E122, Wien, 1040, Austria
AB: The Advanced Scatterometer (ASCAT) onboard the MetOp series of satellites is the newest addition to a series of microwave remote sensing instruments proven to be capable to retrieve soil moisture globally and in a highly efficient and consistent manner. ASCAT is a follow-up to the wind mode of the Active Microwave Instruments (AMI) on the ERS-1 and ERS-2 platforms. MetOp-A, the first of the three satellites is in orbit since October 2006 and the first ASCAT data has become available. In terms of design, the ASCAT instrument is very similar to the ERS scatterometers, offering improved coverage (one extra set of antennae producing a second swath) and spatial resolution (additional 25 km resolution product for research purposes).We used the new ASCAT data in combination with a global geophysical parameter database derived from long-term ERS scatterometer time series to obtain the first ASCAT-based soil moisture products. A preliminary intercomparison study between ERS- 2 and ASCAT acquisitions during the first half of 2007 has also been carried out. Compared to the nominal 50 km product, we have found the 25 km resolution ASCAT-based soil moisture to display significantly more detail at acceptable noise levels. Thanks to the common heritage of the ERS and ASCAT instruments, we expect a quick and efficient integration of the latter sensor into soil moisture retrieval activities. This will secure the possibility for near-real time applications based on a quasi-consistent and global soil moisture dataset stretching over three decades.
UR: http:www.ipf.tuwien.ac.at/radar
DE: 1855 Remote sensing (1640)
DE: 1866 Soil moisture
DE: 1872 Time series analysis (3270, 4277, 4475)
DE: 1895 Instruments and techniques: monitoring
SC: Hydrology [H]
MN: 2007 Joint Assembly