DocumentCode :
2858724
Title :
NPOESS Soil Moisture Satellite Data Assimilation and RFI Mitigation: Use of WindSat Data and a Discrete Backus-Gilbert Technique
Author :
Jones, Andrew S. ; Rapp, Dustin ; Combs, Cynthia L. ; Longmore, Scott ; Vukicevic, Tomislava ; Haar, Thomas H Vonder ; McWilliams, Gary ; Mungiole, Michael ; Mason, George ; Chauhan, Narinder S.
Author_Institution :
Center for Geosci./Atmos. Res., CIRA/CSU, Fort Collins, CO
fYear :
2006
fDate :
July 31 2006-Aug. 4 2006
Firstpage :
2040
Lastpage :
2043
Abstract :
This work develops (1) a four-dimensional data assimilation methodology to retrieve deep soil moisture profiles using the National Polar-orbiting Operational Environmental Satellite System (NPOESS) and other associated data, (2) a methodology for better spatial mapping of the masking effects caused by surface features (i.e., vegetative cover and surface roughness), and (3) a discrete Backus-Gilbert (DBG)-based methodology for reducing the radio frequency interference impacts at 6.7 and 10 GHz.
Keywords :
data assimilation; hydrological techniques; moisture; radiofrequency interference; radiometry; remote sensing; soil; NPOESS data assimilation; National Polar-orbiting Operational Environmental Satellite System; RFI mitigation; WindSat data; discrete Backus-Gilbert technique; frequency 10 GHz; frequency 6.7 GHz; radio frequency interference reduction; soil moisture data assimilation; Atmospheric modeling; Data assimilation; Frequency; Land surface; Radiofrequency interference; Rain; Rough surfaces; Satellite broadcasting; Soil moisture; Surface roughness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on
Conference_Location :
Denver, CO
Print_ISBN :
0-7803-9510-7
Type :
conf
DOI :
10.1109/IGARSS.2006.528
Filename :
4241675
Link To Document :
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