Analysis of metamaterial‐inspired soil moisture microwave sensor

2021 ◽  
Author(s):  
Lincoln Alexandre Paz Silva ◽  
Francisco de Assis Brito‐Filho ◽  
Humberto Dionísio de Andrade
Keyword(s):  
Soil Moisture ◽  
Microwave Sensor

Field Level Soil Moisture Variability at 6- and 3-cm Sampling Depths: Implications for Microwave Sensor Validation

2013 ◽  
Vol 12 (3) ◽  
pp. vzj2012.0070 ◽  
Author(s):  
Justin R. Adams ◽  
Aaron A. Berg ◽  
Heather McNairn
Keyword(s):  
Soil Moisture ◽  
Sensor Validation ◽  
Field Level ◽  
Microwave Sensor ◽  
Soil Moisture Variability ◽  
Moisture Variability

Modelling of Microwave Multi-Frequency Emission and Backscatter by a Community Land Active Passive Microwave Radiative Transfer Modelling Platform (CLAP)

2021 ◽  
Author(s):  
Hong Zhao ◽  
Yijian Zeng ◽  
Bob Su ◽  
Jan Hofste
Keyword(s):  
Soil Moisture ◽  
Radiative Transfer ◽  
Microwave Radiometer ◽  
Soil Surface ◽  
Equation Model ◽  
Passive Microwave ◽  
The Tibetan Plateau ◽  
Microwave Sensor ◽  
L Band ◽  
Transfer Modelling

<p>Emission and backscattering at different frequencies have varied responses to soil physical processes (e.g., moisture redistribution, freeze-thaw) and vegetation growing/senescencing. Combing the use of active and passive microwave multi-frequency signals may provide complementary information, which can be used to better retrieve soil moisture, and vegetation biomass and water content for ecological applications. To this purpose, a Community Land Active Passive Microwave Radiative Transfer Modelling Platform (CLAP) was adopted in this study to simulate both emission (T<sub>B</sub>) and backscatter (σ<sup>0</sup>), in which the CLAP is backboned by the TorVergata model for modelling vegetation scattering, and an air-to-soil transition model (ATS) (accounting for surface dielectric roughness) integrated with the Advanced Integral Equation Model (AIEM) for modelling soil surface scattering. The accuracy of CLAP was assessed by both ground-based and spaceborne measurements, and the former was from the deployed microwave radiometer/scatterometer observatory at Maqu site on an alpine meadow over the Tibetan plateau. Specifically, for the passive case, simulated T<sub>B</sub> (emissivity multiplied by effective temperature) were compared to the ground-based ELBARA-III L-band observations, as well as C-band Advanced Microwave Scanning Radiometer 2 (AMSR2) and L-band Soil Moisture Active Passive (SMAP) observations. For the active case, simulated σ<sup>0 </sup>were compared to the ground-based scatterometer C- and L-bands observations, and C-band Sentinel and L-band Phased Array type L-band Synthetic Aperture Radar 2 (PALSAR-2) observations. This study is expected to contribute to improving the soil moisture retrieval accuracy for dedicated microwave sensor configurations.</p>

Temporal observations of surface soil moisture using a passive microwave sensor

1987 ◽  
Vol 21 (3) ◽  
pp. 281-296 ◽  
Author(s):  
T.J. Jackson ◽  
P. O'Neill
Keyword(s):  
Soil Moisture ◽  
Surface Soil ◽  
Passive Microwave ◽  
Surface Soil Moisture ◽  
Microwave Sensor

Microwave Sensor Antenna for Soil Moisture Measurement

2015 ◽  
Author(s):  
A. S. Pathma Priyaa ◽  
Adil Mohammed ◽  
C. Ambili ◽  
N.S. Anusree ◽  
Anne Varghese Thekekara ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Moisture Measurement ◽  
Microwave Sensor ◽  
Soil Moisture Measurement

Passive active L- and S-band (PALS) microwave sensor for ocean salinity and soil moisture measurements

2001 ◽  
Vol 39 (5) ◽  
pp. 1039-1048 ◽  
Author(s):  
W.J. Wilson ◽  
S.H. Yueh ◽  
S.J. Dinardo ◽  
S.L. Chazanoff ◽  
A. Kitiyakara ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Microwave Sensor ◽  
Ocean Salinity

Highly Sensitive Differential Microwave Sensor for Soil Moisture Measurement

2021 ◽  
pp. 1-1
Author(s):  
Rasool Keshavarz ◽  
Justin Lipman ◽  
Dominique Schreurs ◽  
Negin Shariati
Keyword(s):  
Soil Moisture ◽  
Moisture Measurement ◽  
Highly Sensitive ◽  
Microwave Sensor ◽  
Soil Moisture Measurement
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