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Impact of Random and Periodic Surface Roughness on P- and L-band RadiometryL-band passive microwave remote sensing is currently considered a robust technique for global monitoring of soil moisture. However, soil roughness complicates the relationship between brightness temperature and soil moisture, with current soil moisture retrieval algorithms typically assuming a constant roughness parameter globally, leading to a potential degradation in retrieval accuracy. This current investigation established a tower-based experiment site in Victoria, Australia. P-band (~40-cm wavelength/0.75 GHz) was compared with L-band (~21-cm wavelength/1.41 GHz) over random and periodic soil surfaces to determine if there is an improvement in brightness temperature simulation and soil moisture retrieval accuracy for bare soil conditions, due to reduced roughness impact when using a longer wavelength. The results showed that P-band was less impacted by random and periodic roughness than L-band, evidenced by more comparable statistics across different roughness conditions. The roughness effect from smooth surfaces (e.g., 0.8-cm root-mean-square height and 11.1-cm correlation length) could be potentially ignored at both P- and L-band with satisfactory simulation and retrieval performance. However, for rougher soil (e.g., 1.6-cm root-mean-square height and 6.8-cm correlation length), the roughness impact needed to be accounted for at both P- and L-band, with P-band observations showing less impact than L-band. Moreover, a sinusoidal soil surface with 10-cm amplitude and 80-cm period substantially impacted the brightness temperature simulation and soil moisture retrieval at both P- and L-band, which could not be fully accounted for using the SMOS and SMAP default roughness parameters. However, when retrieving roughness parameters along with soil moisture, the ubRMSE at P-band over periodic soil was improved to a similar level (0.01-0.02 m3/m3) as that of smooth flat soil (0.01 m3/m3), while L-band showed higher ubRMSE over the periodic soil (0.03-0.04 m3/m3) than over smooth flat soil (0.01 m3/m3). Accordingly, periodic roughness effects were reduced by using observations at P-band.
Document ID
20220002719
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
(Monash University Melbourne, Victoria, Australia)
Nan Ye
(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 Zhu
(Monash University Melbourne, Victoria, Australia)
In-Young Yeo
(University of Newcastle Australia Newcastle, New South Wales, Australia)
Edward J Kim
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Yann Kerrg
(Centre d'Etudes Spatiales de la BIOsphère Toulouse, France)
Thomas Jackson
(USDA ARS Hydrology and Remote Sensing Laboratory)
Date Acquired
February 17, 2022
Publication Date
December 3, 2021
Publication Information
Publication: Remote Sensing of Environment
Publisher: Elsevier
Volume: 269
Issue Publication Date: February 1, 2022
ISSN: 0034-4257
Subject Category
Earth Resources And Remote Sensing
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
Soil roughness
Row structure
Soil moisture retrieval
P -band
Passive microwave
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