基于InSAR技术的中国地表形变一张图研制
Development of National Ground Deformation Rate Map of China Based on InSAR Technology
张过 1王舜瑶 2陈振炜 1秦绪文 3徐子兴 1刘峻宁 4刘宇涛 1周军元 5苏逸平6
作者信息
- 1. 武汉大学测绘遥感信息工程国家重点实验室,湖北 武汉,430079
- 2. 南阳师范学院,河南 南阳,473000
- 3. 中国地质调查局,北京,100037
- 4. 千寻位置网络有限公司,上海,200438
- 5. 湖北省测绘工程院,湖北 武汉,430074
- 6. 浙江省国土空间规划研究院,浙江 杭州,311121
- 折叠
摘要
地表形变危害巨大且深远,利用合成孔径雷达干涉测量(interferometric synthetic aperture radar,InSAR)技术监测地表形变虽已较为成熟,但是超大范围,甚至全国范围的地表形变快速提取仍充满挑战.为快速获取全国地表形变信息,设计了一种基于超算并行计算的广域地表形变快速提取优化方法,并对干涉集基线组合方法、广域相位解缠算法、大气效应改正方法等进行了改进和创新.基于该方法,采用10 157景哨兵 1号数据,研制了中国全境 2021年度 40 m分辨率地表形变速率图,经验证形变速率精度为4.82 mm/a,有效覆盖度为 94.6%,图幅间无明显接边差异.同时对国内典型地表形变区域进行了分析.研究为广域地表形变常态化快速提取提供了参考.
Abstract
The damage of ground deformation is huge and far-reaching.Although it is relatively mature to monitor ground deformation via interferometric synthetic aperture radar(In-SAR),challenges still exist in the fast extraction of large-scale ground deformation,i.e.,across the country.To quick-ly obtain the national ground deformation information,we de-sign an optimized method for fast extraction of large-scale ground deformation based on supercomputing parallel comput-ing,improve and innovate the baseline combination method of interferometric pairs,large-scale phase unwrapping algo-rithm,atmospheric effect correction method,etc.Based on this method,we use 10 157 scenes of Sentinel-1 data to de-velop a 40-meter resolution national ground deformation rate map for the whole territory of China in 2021.The accuracy of the deformation rate is 4.82 mm/a,the effective deformation information coverage is 94.6%,and there is no obvious edge difference between the scenes.At the same time,the typical ground deformation areas in China are analyzed.This re-search provides a reference for the routinely fast extraction of large-scale ground deformation.
关键词
地表形变/合成孔径雷达干涉测量(interferometric/synthetic/aperture/radar,InSAR)/广域地表形变快速提取/哨兵1号Key words
ground deformation/interferometric synthetic aperture radar(InSAR)/fast extraction of large-scale defor-mation/Sentinel-1引用本文复制引用
出版年
2024
NETL
NSTL
万方数据