2022
DOI: 10.1016/j.rse.2021.112825
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Impact of random and periodic surface roughness on P- and L-band radiometry

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Cited by 13 publications
(3 citation statements)
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“…The calibration accuracy of both PPMR and PLMR was found to be less than 1.5 K. Weekly measurements of near-surface soil moisture (top 5 cm) were taken by a Hydra-probe Data Acquisition System (HDAS; [28]) throughout the quadrants to confirm the representativeness of the station. For a detailed description of the experiment and comprehensive information about the dataset, readers are referred to the publications authored by Shen [11], [15] and the PRISM (P-band Radiometer Inferred Soil Moisture) project website (www.prism.monash.edu).…”
Section: Datamentioning
confidence: 99%
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“…The calibration accuracy of both PPMR and PLMR was found to be less than 1.5 K. Weekly measurements of near-surface soil moisture (top 5 cm) were taken by a Hydra-probe Data Acquisition System (HDAS; [28]) throughout the quadrants to confirm the representativeness of the station. For a detailed description of the experiment and comprehensive information about the dataset, readers are referred to the publications authored by Shen [11], [15] and the PRISM (P-band Radiometer Inferred Soil Moisture) project website (www.prism.monash.edu).…”
Section: Datamentioning
confidence: 99%
“…L-band microwave remote sensing is only able to detect soil moisture down to around 5 cm below the surface, and is affected by vegetation and surface roughness, leading to a shallower sensing depth and degraded retrieval precision when compared to longer wavelengths [10], [11], [12]. However, a complete understanding of many environmental applications requires information on the moisture in deeper layers of the soil.…”
Section: Introductionmentioning
confidence: 99%
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