DefoEye：用于Sentinel-1遥感数据时间序列InSAR分析的Python软件
DefoEye: Python-Based Software for Facilitating Time-Series InSAR Analysis of Sentinel-1 Remote-Sensing Data
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中文总结 AI 辅助
本文推出基于Python的开源软件DefoEye，封装GMTSAR并优化其不足，经多区域验证可生成可靠的Sentinel-1数据TS-InSAR产品，适用于多领域应用。
中文摘要 AI 辅助
现有多数时间序列合成孔径雷达干涉测量（TS-InSAR）软件存在局限性，包括地理适用范围受限、商业授权限制、端到端处理支持不完整。尽管GMTSAR可规避部分此类约束，但仍需大量手动干预和C-shell命令，缺乏用户友好的图形界面，且缺少干涉图网络修剪、解缠干涉图锚定等重要步骤。本文介绍DefoEye（v1），一款基于Python的开源软件包，它封装GMTSAR并为Sentinel-1数据提供统一、用户友好的TS-InSAR工作流。DefoEye支持并行作业执行、干涉图网络修剪及多种锚定选项。其性能在2020至2024年的四个不同地质背景、变形机制、大气与气候条件的区域中得到评估：在意大利博洛尼亚、瑞典哥得兰岛和美国休斯顿，将DefoEye结果与10个GNSS台站的观测值对比，显示出强一致性，均方根误差（RMSE）为4.3-11.9毫米，皮尔逊相关系数为0.63-0.95；在伊朗卡拉杰（无GNSS观测值），DefoEye与其他广泛使用的处理工具对比，也达到相近的一致性，RMSE为4.8毫米/年，皮尔逊相关系数为0.98。这些结果表明，DefoEye可为地质、水文和环境应用提供可靠的TS-InSAR产品。
英文摘要
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.
