研究目的
Quantifying the ability of CYGNSS to monitor soil moisture and inundation extent for different vegetation and roughness conditions and describing how these measurements could be used to sense changes in surface hydrology over time.
研究成果
CYGNSS observations are sensitive to changes in surface wetness, including soil moisture and inundation extent, but challenges remain in accounting for the effects of vegetation cover, surface roughness, and topography. The study suggests potential ways to address these challenges and presents preliminary retrievals of soil moisture and inundation extent for South America.
研究不足
The pseudo-random sampling strategy of CYGNSS and the confounding effects of land cover and roughness on the signal-to-noise ratio (SNR) present challenges in equating short-term changes in SNR to changes in soil moisture or inundation extent.
1:Experimental Design and Method Selection:
The study uses the signal-to-noise ratio (SNR) of delay-Doppler maps (DDMs) recorded by CYGNSS, corrected for antenna gain and range effects under the assumption of coherent surface scattering.
2:Sample Selection and Data Sources:
Data from the Amazon is used as a case study, with CYGNSS observations gridded to a 9 x 9 km grid to quantify changes in the signal over time for a specific area.
3:List of Experimental Equipment and Materials:
CYGNSS constellation of eight small satellites with specialized GNSS receivers.
4:Experimental Procedures and Operational Workflow:
Observations are corrected and gridded to analyze changes in surface wetness.
5:Data Analysis Methods:
Comparison of CYGNSS observations with soil moisture data from NASA’s Soil Moisture Active Passive (SMAP) satellite to confirm sensitivity to surface wetness changes.
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