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Cramer-Rao Lower Bound for SoOp-R-Based Root-Zone Soil Moisture Remote SensingSignals of opportunity (SoOp) reflectometry (SoOp-R) is a maturing field for geophysical remote sensing as evidenced by the growing number of airborne and spaceborne experiments. As this approach receives more attention, it is worth analyzing SoOp-R’s capabilities to retrieve subsurface soil moisture (SM) by leveraging communication and navigation satellite transmitters. In this research, the CRLB is used to identify the effects of variable SoOp-R parameters on the best achievable estimation error for root-zone soil moisture (RZSM). This study investigates the use of multiple frequency, polarization, and incidence angle measurement configurations on a two-layered dielectric profile. The results also detail the effects of variable SM conditions on the capability of SoOp-R systems to predict subsurface SM. The most prevalent observation is the importance of using at least two frequencies to limit uncertainties from subsurface SM estimates. If at least two frequencies are used, the CRLB of a profile is retrievable within the root-zone depending on the surface SM content as well as the number of independent measurements of the profile. For a depth of 30 cm, it is observed that a CRLB corresponding to 4% RZSM estimation accuracy is achievable with as few as 2 dual-frequency-based SoOp-R measurements. For this depth, increasing number of measurements provided by polarization and incidence angle allow for sensing of increasingly wet SM profile structures. This study, overall, details a methodology by which SoOp-R receiver system can be designed to achieve a desired CRLB using a trade-off study between the available measurements and SM profile.
Document ID
20205009263
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
Authors
Dylan Ray Boyd ORCID
(Mississippi State University Starkville, Mississippi, United States)
Ali Cafer Gurbuz ORCID
(Mississippi State University Starkville, Mississippi, United States)
Mehmet Kurum
(Mississippi State University Starkville, Mississippi, United States)
James L. Garrison
(Purdue University West Lafayette West Lafayette, Indiana, United States)
Benjamin R. Nold
(Purdue University West Lafayette West Lafayette, Indiana, United States)
Jeffrey R Piepmeier ORCID
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Manuel Vega
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Rajat Bindlish ORCID
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Date Acquired
October 27, 2020
Publication Date
October 7, 2020
Publication Information
Publication: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE JSTARS)
Publisher: IEEE
Volume: 13
Issue Publication Date: January 1, 2020
ISSN: 1939-1404
e-ISSN: 2151-1535
Subject Category
Earth Resources And Remote Sensing
Funding Number(s)
WBS: 281945.02.14.04.98
CONTRACT_GRANT: NNH17ZDA001N-THP
CONTRACT_GRANT: 80NSSC20K1010
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
External Peer Committee
Keywords
Signals of Opportunity (SoOp)
reflectometry
specular, bistatic
soil moisture
root-zone
Cramer-Rao Lower Bound
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