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Evaluation of the Tau-Omega Model Over Bare and Wheat-Covered Flat and Periodic Soil Surfaces at P- and L-bandIt has been over ten years since the successful launch of the first-ever dedicated satellite for global soil moisture monitoring; Soil Moisture and Ocean Salinity (SMOS). Looking towards the future, P-band (0.3-1 GHz) is a promising technique to replace or enhance the L-band (1.4 GHz) SMOS and SMAP (Soil Moisture Active Passive) missions because of an expected reduction in roughness and vegetation impact, leading to an improved soil moisture accuracy over rougher soil surfaces and more densely vegetated areas. Accordingly, this investigation evaluated the tau-omega model at P-band (0.75 GHz) using a tower-based experiment in Victoria, Australia, where brightness temperature observations were collected concurrently at P- and L-band over bare and wheat-covered flat and periodic soil surfaces. The potential to retrieve soil moisture without discriminating periodic and flat surfaces was investigated by applying the roughness and vegetation parameters calibrated for flat soil to retrieve the moisture of periodic soil. Results showed that P-band had a comparable RMSE across different roughness configurations (variations less than 0.016 m3/m3) for both bare and wheat-covered soil, while the L-band RMSE was only comparable for wheat-covered soil, indicating that periodic surfaces did not need to be discriminated in such scenarios. Conversely, a difference of 0.022 m3/m3 was observed for L-band with bare soil. A reduced vegetation impact was also demonstrated at P-band, with an RMSE of 0.029 m3/m3 achieved when completely ignoring the wheat existence with under 4-kg/m2 vegetation water content, whereas at L-band the RMSE increased to 0.063 m3/m3. This study therefore paves the way for a successful P-band radiometer mission for obtaining more accurate global soil moisture information.
Document ID
20220009539
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
Authors
Xiaoji Shen
(Monash University Melbourne, Victoria, Australia)
Jeffrey P. Walker ORCID
(Monash University Melbourne, Victoria, Australia)
Nan Ye ORCID
(Monash University Melbourne, Victoria, Australia)
Xiaoling Wu
(Monash University Melbourne, Victoria, Australia)
Foad Brakhasi
(Monash University Melbourne, Victoria, Australia)
Nithyapriya Boopathi
(Monash University Melbourne, Victoria, Australia)
Liujun Zhua
(Monash University Melbourne, Victoria, Australia)
In-Young Yeo
(University of Newcastle Australia Newcastle, New South Wales, Australia)
Edward Kim
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Yann Kerr ORCID
(Centre National D'Etudes Spatiales Paris, France)
Thomas Jackson
(USDA ARS Hydrology and Remote Sensing Laboratory Beltsville, Maryland, United States)
Date Acquired
June 20, 2022
Publication Date
March 5, 2022
Publication Information
Publication: Remote Sensing of Environment
Publisher: Elsevier
Volume: 273
Issue Publication Date: May 1, 2022
ISSN: 0034-4257
Subject Category
Meteorology And Climatology
Funding Number(s)
WBS: 437949.02.03.01.78
CONTRACT_GRANT: DP170102373
CONTRACT_GRANT: LE0453434
CONTRACT_GRANT: LE150100047
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
External Peer Committee
Keywords
P-band
Passive microwave
Soil moisture retrieval
Roughness
Vegetation
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