Nov 26, 2020 · A semiempirical model, which consists of three main modeling components for soil moisture, vegetation, and surface roughness.
A CYGNSS surface scattering map has been derived and reveals a mixed contribution of coherent and incoherent scattering effects and the effects of topography.
The results of global CYGNSS and SMAP correlation analysis to relate the CYGNSS reflectivity data to soil moisture, VWC, and surface roughness are described in ...
Water, vol. 14 iss. 2, 2022. A Semiempirical Modeling of Soil Moisture, Vegetation, and Surface Roughness Impact on CYGNSS Reflectometry Data. Yueh, SH; Shah, R ...
Sep 30, 2024 · The study proposes land cover-based linear and reflectivity-vegetation-roughness (RVR) models for surface soil moisture retrieval, comparing performance to a ...
Sep 30, 2024 · A semiempirical modeling of soil moisture, vegetation, and surface roughness impact on CYGNSS reflectometry data, IEEE Trans. Geosci. Remote ...
A Semiempirical Modeling of Soil Moisture, Vegetation, and Surface Roughness Impact on CYGNSS Reflectometry Data · Soil moisture · Surface roughness · Rough ...
This paper describes the linkage between the CYGNSS SM and vegetation activity. The CYGNSS SM from 2019.01 to 2022.12 with system error and land surface ...
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In this paper, a soil moisture (SM) retrieval model from spaceborne Global Navigation Satellite System Reflectometry (GNSS-R) observations that incorporates ...
Apr 11, 2023 · A Semiempirical Modeling of Soil Moisture, Vegetation, and Surface Roughness Impact on CYGNSS Reflectometry Data. IEEE Trans. Geosci. Remote ...