Boundary-induced phase locking and guided helical modes in SAR Doppler tomography of the Giza Plateau

Read full text
Authors: Pasquale Camelia
Cited by: 0

Abstract

This revised preprint examines the interpretability of phase-based SAR Doppler tomographic products within a framework that explicitly accounts for structural non-invertibility and boundary-limited observability. Using publicly released polarimetric and non-polarimetric datasets from the Giza Plateau, the analysis is restricted to boundary-supported phase and coherence invariants, deliberately avoiding any form of volumetric reconstruction or bulk inference. Relative to the previous version, this release clarifies the epistemic scope of the analysis and consolidates the results through explicit cross-validation across independent datasets. It also includes a complete reproducibility package, comprising the analysis code and processed outputs used to generate all reported figures and tables. The results demonstrate a highly constrained global phase organization, characterized by sustained longitudinal coherence and symmetry-selective phase locking. These invariants are incompatible with interpretations based on independent subsurface structures or localized material features. Instead, they admit a restricted class of forward descriptions consistent with collective, boundary-supported phase propagation. A minimal cylindrical guided-mode model is introduced solely as a parsimonious representative of this admissible class, without implying direct observability or uniqueness of the underlying bulkgeometry. This manuscript is released as a pre-review preprint. No claims of unique subsurface reconstruction or definitive physical geometry are made.

Fields of Study & Subjects

Synthetic Aperture Radar (SAR) Applications and Techniques Soil Moisture and Remote Sensing Seismic Imaging and Inversion Techniques

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
9 January 2026
Language
EN
Document type
Preprint