Cunren Liang , Eric J. Fielding , Zhen Liu , Takeshi Motohka , Ryo Natsuaki , Sang-Ho Yun
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We demonstrate three methods, among which one is newly proposed, can separate the azimuth motion and ionospheric azimuth shift with higher precisions. We evaluate the performances of the three methods by simulations using parameters of several selected L-band SAR satellites. The results show that, at kilometer resolutions, the azimuth motion measured by multiple-aperture SAR interferometry (MAI) can achieve centimeter precision, while the ionospheric azimuth shifts can be estimated with decimeter precision. Based on these results, a strategy for obtaining corrected azimuth motion is subsequently suggested, which achieves at least a first-order ionospheric correction of the original higher resolution MAI result. The three methods were also compared by real data processing examples. Furthermore, using real and simulated data of selected L-band SAR satellites, we present the first L-band MAI time series analysis result that measures subtle ground motion, as illustrated by the example of the postseismic deformation after the 2016 Kumamoto earthquakes in Japan. The performance is expected to be further improved with future L-band SAR missions that have much higher duty cycles. 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The main problem of measuring azimuth motion with short-wavelength SAR data is decorrelation. A fleet of newly launched and upcoming long-wavelength L-band SAR satellites bring new opportunities for measuring azimuth motion. However, azimuth motion measured with L-band SAR data often contains large azimuth shifts caused by the Earth's ionosphere. We outline the framework of separating the azimuth motion and ionospheric azimuth shift from an analysis of the ionospheric effects on SAR images and SAR measurement precisions. We demonstrate three methods, among which one is newly proposed, can separate the azimuth motion and ionospheric azimuth shift with higher precisions. We evaluate the performances of the three methods by simulations using parameters of several selected L-band SAR satellites. The results show that, at kilometer resolutions, the azimuth motion measured by multiple-aperture SAR interferometry (MAI) can achieve centimeter precision, while the ionospheric azimuth shifts can be estimated with decimeter precision. Based on these results, a strategy for obtaining corrected azimuth motion is subsequently suggested, which achieves at least a first-order ionospheric correction of the original higher resolution MAI result. The three methods were also compared by real data processing examples. Furthermore, using real and simulated data of selected L-band SAR satellites, we present the first L-band MAI time series analysis result that measures subtle ground motion, as illustrated by the example of the postseismic deformation after the 2016 Kumamoto earthquakes in Japan. The performance is expected to be further improved with future L-band SAR missions that have much higher duty cycles. 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引用次数: 0
摘要
方位或沿轨道(近似南北方向)运动对于利用在太阳同步极轨道上环绕地球运行的合成孔径雷达(SAR)卫星构建三维地面运动至关重要。使用短波长合成孔径雷达数据测量方位角运动的主要问题是不相关性。新发射和即将发射的长波长 L 波段合成孔径雷达卫星群为测量方位角运动带来了新的机遇。然而,用 L 波段合成孔径雷达数据测量的方位角运动往往包含由地球电离层引起的巨大方位偏移。我们概述了从分析电离层对合成孔径雷达图像和合成孔径雷达测量精度的影响中分离方位角运动和电离层方位偏移的框架。我们展示了三种方法,其中一种是新提出的,能够以更高的精度分离方位角运动和电离层方位偏移。我们利用几颗选定的 L 波段合成孔径雷达卫星的参数进行模拟,评估了这三种方法的性能。结果表明,在千米分辨率下,通过多孔径合成孔径雷达干涉测量法(MAI)测量的方位运动可以达到厘米级精度,而电离层方位偏移的估计精度可以达到分米级精度。在这些结果的基础上,随后提出了一种获得校正方位角运动的策略,该策略至少可以对原始的较高分辨率 MAI 结果进行一阶电离层校正。还通过实际数据处理实例对这三种方法进行了比较。此外,利用选定 L 波段合成孔径雷达卫星的真实和模拟数据,我们首次提出了可测量细微地面运动的 L 波段 MAI 时间序列分析结果,并以 2016 年日本熊本地震后的震后形变为例进行了说明。未来的 L 波段合成孔径雷达任务将采用更高的占空比,因此其性能有望得到进一步提高。因此,一些地球物理应用,特别是与地球构造过程有关的应用,可以从 L 波段合成孔径雷达数据测量的方位角运动中获益。
An analysis of the potentials of L-band SAR satellites for measuring azimuth motion
Azimuth or along-track (approximately north-south) motion is critical in constructing three-dimensional ground motion with synthetic aperture radar (SAR) satellites orbiting the Earth in sun-synchronous polar orbit. The main problem of measuring azimuth motion with short-wavelength SAR data is decorrelation. A fleet of newly launched and upcoming long-wavelength L-band SAR satellites bring new opportunities for measuring azimuth motion. However, azimuth motion measured with L-band SAR data often contains large azimuth shifts caused by the Earth's ionosphere. We outline the framework of separating the azimuth motion and ionospheric azimuth shift from an analysis of the ionospheric effects on SAR images and SAR measurement precisions. We demonstrate three methods, among which one is newly proposed, can separate the azimuth motion and ionospheric azimuth shift with higher precisions. We evaluate the performances of the three methods by simulations using parameters of several selected L-band SAR satellites. The results show that, at kilometer resolutions, the azimuth motion measured by multiple-aperture SAR interferometry (MAI) can achieve centimeter precision, while the ionospheric azimuth shifts can be estimated with decimeter precision. Based on these results, a strategy for obtaining corrected azimuth motion is subsequently suggested, which achieves at least a first-order ionospheric correction of the original higher resolution MAI result. The three methods were also compared by real data processing examples. Furthermore, using real and simulated data of selected L-band SAR satellites, we present the first L-band MAI time series analysis result that measures subtle ground motion, as illustrated by the example of the postseismic deformation after the 2016 Kumamoto earthquakes in Japan. The performance is expected to be further improved with future L-band SAR missions that have much higher duty cycles. Some geophysical applications, in particular, those associated with the Earth's tectonic processes, can thus benefit from the azimuth motion measured by L-band SAR data.
期刊介绍:
Remote Sensing of Environment (RSE) serves the Earth observation community by disseminating results on the theory, science, applications, and technology that contribute to advancing the field of remote sensing. With a thoroughly interdisciplinary approach, RSE encompasses terrestrial, oceanic, and atmospheric sensing.
The journal emphasizes biophysical and quantitative approaches to remote sensing at local to global scales, covering a diverse range of applications and techniques.
RSE serves as a vital platform for the exchange of knowledge and advancements in the dynamic field of remote sensing.