| 英文摘要 |
Synthetic Aperture Radar imagery enables all-weather, day-and-night observation and thus provides a robust alternative to optical imagery for monitoring petroleum infrastructure. This study establishes an operational framework to quantify fuel-level dynamics in large floating-roof oil tanks using multi-temporal, high-resolution TerraSAR-X data. Characteristic backscattering arcs are extracted from X-band spotlight images to derive tank diameter, wall height, and floating-roof elevation with sub-pixel precision, and a dedicated error-propagation model is developed to assess uncertainty in these geometric estimates. Multi-date TerraSAR-X acquisitions collected between December 2022 and January 2023 are analyzed to retrieve temporal variations in floating-roof height and convert them to volumetric change. Validation against CPC refinery records shows close agreement, and the method remains effective even when field instruments are unavailable. By linking physically interpretable SAR signatures to quantitative geometric retrievals from a single, stable sensor, the proposed framework delivers reliable, repeatable, and near–real-time assessments of fuel storage, offering a practical basis for continuous monitoring and energy-management applications. |