测绘通报 ›› 2025, Vol. 0 ›› Issue (3): 1-7.doi: 10.13474/j.cnki.11-2246.2025.0301

• 矿区动态监测 •    

联合Sentinel-1A升降轨的DS-InSAR金川矿区形变提取

郭捷1, 张功海2, 宋烨炜1, 白宇兴2, 胡纪元3, 王杰4, 吴文豪5, 葛子轩5   

  1. 1. 中国科学院地质与地球物理研究所, 北京 100029;
    2. 金川集团股份有限公司, 甘肃 金昌 737100;
    3. 河南大学地理与环境学院, 河南 郑州 475001;
    4. 北方工业大学土木工程学院, 北京 100144;
    5. 湖南科技大学地球科学与空间信息工程学院, 湖南 湘潭 411100
  • 收稿日期:2024-11-26 发布日期:2025-04-03
  • 作者简介:郭捷(1984—),男,博士,高级工程师,主要从事于地质工程、地质灾害、岩石力学等方面的研究工作。E-mail:guojie@mail.iggcas.ac.cn
  • 基金资助:
    国家自然科学基金(42072305);湖南省自然科学基金青年基金(2021JJ40198)

Deformation extraction of Jinchuan mining area using DS-InSAR with Sentinel-1A ascending and descending orbit

GUO Jie1, ZHANG Gonghai2, SONG Yewei1, BAI Yuxing2, HU Jiyuan3, WANG Jie4, WU Wenhao5, GE Zixuan5   

  1. 1. Insitute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China;
    2. Jinchuan Group Co., Ltd., Jinchang 737100, China;
    3. The College of Geography and Environment Science, Henan University, Zhengzhou 475001, China;
    4. School of Civil Engineering, North China University of Technology, Beijing 100144, China;
    5. School of Earth Sciences and Spatial Information Engineering, Hunan University of Science and Technology, Xiangtan 411100, China
  • Received:2024-11-26 Published:2025-04-03

摘要: 金川矿区镍资源储备极为丰富,是我国最大的镍金属生产基地。传统的PS-InSAR在金川矿区测量存在目标点密度低、形变区解缠错误、形变结果提取精度低的问题。鉴于此,本文采用先进的DS-InSAR方法,对2021年8月—2022年6月的3组不同轨道(升轨Path128、降轨Path33、降轨Path135数据)的Sentinel-1A数据进行处理,将监测点密度与传统PS-InSAR方法获得的结果进行对比,以及两类时序InSAR提取的形变结果与GNSS点位监测进行交叉验证。结果表明:①对于金川矿区矿体监测的监测点(MPS)密度较PS-InSAR方法至少提升了5倍以上;②利用DS-InSAR和PS-InSAR解算的时序形变结果与GNSS站点时序形变结果分别根据平均绝对误差、均方根误差、皮尔逊相干系数进行对比,DS-InSAR结果在3组指标上均效果更佳,提取的形变结果精度更高。

关键词: 升降轨, 金川矿区, Sentinel-1A, DS-InSAR, GNSS

Abstract: The Jinchuan mining area is extremely rich in nickel resources and is the largest nickel metal origin in China. The traditional PS-InSAR method has many problems such as low target point density, deformation area unwrapping errors, and low extraction accuracy of deformation results in the Jinchuan mining area. This paper adopts the advanced DS-InSAR method to process three groups of Sentinel-1A data from different orbits(ascending orbit Path 128, descending orbit Path 33, and descending orbit Path 135) from August 2021 to June 2022. The results are compared with the traditional PS-InSAR method in terms of monitoring point density. The deformation results extracted from the two types of time-series InSAR are cross-validated against the GNSS sites monitoring results. The results show that: ①The MPS density for the mining body monitoring in the Jinchuan mining area is at least 5 times higher than the PS-InSAR method. ②The time-series deformation results solved by DS-InSAR and PS-InSAR are compared with the GNSS sites time-series deformation results in terms of mean absolute error, root mean square error, and Pearson correlation. The three groups of indicators quantitatively reflect that DS-InSAR has the better performance and indicates the deformation results extracted by DS-InSAR are more accurate.

Key words: ascending and descending orbit, Jinchuan mining area, Sentinel-1A, DS-InSAR, GNSS

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