Methodological study demonstrates improved soil moisture retrieval across multi-frequency satellite stations, indicating enhanced precision for environmental remote sensing.
The Global Navigation Satellite System-Interferometric Reflectometry (GNSS-IR) technique has strong potential for soil moisture (SM) monitoring but often suffers from phase jumps and unstable retrievals. This study proposes a comprehensive approach to address these limitations. First, a PID-based search algorithm (PSA) is used to obtain robust initial values for nonlinear least squares (NLS) phase fitting, thereby suppressing fitting-induced phase jumps. Second, Dynamic Time Warping (DTW) satellite selection combined with amplitude weighted multi-band fusion is applied to identify and down-weight or exclude inconsistent satellite contributions and to stabilize the fused SM estimates. Multi-frequency observations from two Plate Boundary Observatory (PBO) stations, P041 and P565 demonstrate that this comprehensive approach markedly improves phase – SM correlation and reduces retrieval errors, providing a practical solution for GNSS-IR SM monitoring and related applications.
No takes yet. Share an insight, caveat, or question.
Liang et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: