DefoEye让Sentinel-1卫星数据的形变分析更简单可靠。
DefoEye: Python-Based Software for Facilitating Time-Series InSAR Analysis of Sentinel-1 Remote-Sensing Data
- 用Python封装GMTSAR，实现全流程自动化处理
- 在4个不同地区验证，与地面观测误差仅4.3-11.9毫米
- 支持并行计算和网络优化，适合地质与环境研究者
现有时间序列干涉合成孔径雷达（TS-InSAR）软件普遍存在地理适用性受限、商业授权或缺乏端到端处理支持等问题。尽管GMTSAR规避部分限制，仍需大量手动操作和C-shell命令，无图形界面，且缺少干涉图网络修剪与解缠图锚定等关键步骤。本文提出DefoEye（v1），一个开源的Python工具包，整合GMTSAR并提供统一、友好的哨兵-1数据TS-InSAR处理流程。DefoEye支持并行任务执行、干涉图网络修剪及多种锚定方式。2020至2024年在意大利博洛尼亚、瑞典哥特兰、美国休斯顿及伊朗卡拉杰四个地质环境各异区域进行了性能评估。在博洛尼亚、哥特兰和休斯顿，结果与10个GNSS站点观测对比，均方根误差（RMSE）为4.3–11.9毫米，皮尔逊相关系数达0.63–0.95；在卡拉杰因无GNSS数据，与主流工具比较，获得RMSE 4.8毫米/年、相关系数0.98，表现相近。结果表明，DefoEye可为地质、水文与环境应用提供可靠的TS-InSAR产品。
原文摘要 · Abstract (English)
Many existing time-series Interferometric Synthetic Aperture Radar (TS-InSAR) software tools have limitations, including restricted geographic applicability, commercial licensing, and incomplete end-to-end processing support. Although GMTSAR avoids some of these constraints, it still requires substantial manual intervention and C-shell commands, lacks a user-friendly graphical interface, and omits important steps such as interferogram network pruning and anchoring of unwrapped interferograms. This paper introduces DefoEye (v1), an open-source Python-based software package that wraps GMTSAR and provides a unified, user-friendly TS-InSAR workflow for Sentinel-1 data. DefoEye supports parallel job execution, interferogram network pruning, and multiple anchoring options. Its performance was evaluated from 2020 to 2024 in four regions with different geological settings, deformation mechanisms, and atmospheric and climatic conditions. In Bologna, Italy; Gotland, Sweden; and Houston, USA, DefoEye results were compared with observations from 10 GNSS stations and showed strong agreement, with RMSE values of 4.3-11.9 mm and Pearson correlation coefficients of 0.63-0.95. In Karaj, Iran, where GNSS observations were unavailable, DefoEye was compared with other widely used processing tools and achieved similarly close agreement, with an RMSE of 4.8 mm/yr and a Pearson correlation coefficient of 0.98. These results demonstrate that DefoEye provides reliable TS-InSAR products for geological, hydrological, and environmental applications.
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