| InSAR部分地学参数反演 |
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| 引用本文： | 李志伟,许文斌,胡俊,冯光财,杨泽发,李佳,张恒,陈琦,朱建军,王琪洁,赵蓉,段梦.InSAR部分地学参数反演[J].测绘学报,2022,51(7):1458-1475. |
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| 作者姓名： | 李志伟 许文斌 胡俊 冯光财 杨泽发 李佳 张恒 陈琦 朱建军 王琪洁 赵蓉 段梦 |
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| 作者单位： | 1. 中南大学地球科学与信息物理学院, 湖南 长沙 410083;2. 中国资源卫星应用中心, 北京 100094;3. 中南林业科技大学土木工程学院, 湖南 长沙 410018 |
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| 基金项目： | 国家杰出青年科学基金(41925016);国家自然科学基金(42030112);湖南省教育厅资助科研项目(21A000) |
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| 摘 要： | 自然因素或人类活动可使地球表层或内部应力发生变化,进而产生灾害事件。获取灾害事件与灾害过程的关键地学参数对于准确理解灾变过程、科学解释灾变机制、正确拟定应对策略具有重要意义。InSAR技术已广泛应用于自然因素或人类活动导致的灾害事件与灾变过程的参数反演。本文首先介绍了InSAR卫星的发展和地表形变监测的基本原理;然后分析了InSAR地学参数反演在地震、火山活动、地下水抽取、矿山开采、冻土冻融、冰川运动、地下流体迁移等各类潜在致灾事件中的研究现状;最后分析了InSAR地学参数反演存在的主要挑战和问题。
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| 关 键 词： | 星载SAR InSAR 地表形变 地学参数反演 |
| 收稿时间： | 2022-03-01 |
| 修稿时间： | 2022-06-02 |
Partial geoscience parameters inversion from InSAR observation |
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| LI Zhiwei,XU Wenbin,HU Jun,FENG Guangcai,YANG Zefa,LI Jia,ZHANG Heng,CHEN Qi,ZHU Jianjun,WANG Qijie,ZHAO Rong,DUAN Meng.Partial geoscience parameters inversion from InSAR observation[J].Acta Geodaetica et Cartographica Sinica,2022,51(7):1458-1475. |
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| Authors: | LI Zhiwei XU Wenbin HU Jun FENG Guangcai YANG Zefa LI Jia ZHANG Heng CHEN Qi ZHU Jianjun WANG Qijie ZHAO Rong DUAN Meng |
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| Institution: | 1. School of Geosciences and Info-Physics, Central South University, Changsha 410083, China;2. China Centre For Resources Satellite Data and Application, Beijing 100094, China;3. School of Civil Engineering, Central South University of Forestry and Technology, Changsha 410018, China |
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| Abstract: | Natural factors or human activities can alter the stress of earth surface or its interior part, which generally causes disaster events. Obtaining the key geoscience paramters of disaster events and their developing progress is essential for us to accurately understand the disaster progress, scientifically interpret the disaster mechanism, and properly formulate acting strategy. InSAR is widely used in the parameter inversion of disaster events and their developing progress caused by natural factors or human activities. This paper firstly introduces the development of InSAR satellites and the basic principles of InSAR surface deformation monitoring. Subsequently, the research status of InSAR geoscience parameter inversion in various disaster-causing events is summarized, including earthquake, volcanic activity, groundwater extraction, mining, permafrost freezing and thawing, glacier movement, and underground fluid migration, etc. Finally, we conclude the main challenges and issues of InSAR geoscience parameter inversion. |
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