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