InSAR estimates of excess ground ice concentrations near the permafrost table

IF 12.2 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL ISPRS Journal of Photogrammetry and Remote Sensing Pub Date : 2025-03-19 DOI:10.1016/j.isprsjprs.2025.03.004
S. Zwieback , G. Iwahana , Q. Chang , F. Meyer
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Abstract

Ground ice melt can reshape permafrost environments, with repercussions for Northern livelihoods and infrastructure. However, fine-scale permafrost ground ice products are lacking, limiting environmental change predictions. We propose an InSAR-based approach for estimating ground ice near the permafrost table in sparsely vegetated terrain underlain by continuous permafrost. The Bayesian inversion retrieves ice content by matching the subsidence predicted by a forward model to InSAR observations, accounting for atmospheric, decorrelation, and model parameter uncertainty. We specifically estimate the excess ice concentration of materials that thaw at the end of summer; in summers with deep thaw, these materials overlap with the previous years’ upper permafrost. In a very warm summer in Northwestern Alaska, Sentinel-1 retrievals showed average excess ice concentrations of, respectively, 0.4 and 0.0 in locations independently determined to be ice-rich and ice-poor. In ice-rich locations, the estimates were lower in the preceding warm summer, indicating the thaw front rarely penetrated deep into the ice-rich intermediate layer. Performance was sensitive to the density of stable reference points for atmospheric correction, with deviations of up to 0.3 and increased uncertainty when fewer reference points were used. Toward filling gaps and mitigating InSAR retrieval errors far from reference points, we determined the predictability of the InSAR ice concentrations from topographic and optical surface proxies, finding a moderate R2 of 0.6, with slope being the most important predictor. In summary, the InSAR inversion provides quantitative ice concentration estimates near the permafrost table independent of surface manifestations of ground ice, in-situ observations and geological information. Its combination with optical remote sensing and geological information has the potential to provide seamless, fine-scale permafrost ground ice products.

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InSAR对永久冻土层附近过量地面冰浓度的估计
地下冰融化会重塑永久冻土环境,对北方的生计和基础设施产生影响。然而,缺乏精细尺度的永久冻土地面冰产品,限制了环境变化的预测。我们提出了一种基于insar的方法,用于估计连续多年冻土下垫的稀疏植被地形中多年冻土附近的地面冰。考虑到大气、去相关和模式参数的不确定性,贝叶斯反演通过将正演模型预测的沉降与InSAR观测相匹配来检索冰含量。我们特别估计了夏末融化的物质的过量冰浓度;在深度解冻的夏季,这些物质与前几年的上层永久冻土层重叠。在阿拉斯加西北部一个非常温暖的夏季,Sentinel-1的检索结果显示,在独立确定为富冰和贫冰的地点,平均过量冰浓度分别为0.4和0.0。在富含冰的地区,预估值在之前温暖的夏季较低,这表明解冻锋很少深入到富含冰的中间层。性能对用于大气校正的稳定参考点的密度敏感,偏差高达0.3,并且当使用较少参考点时不确定性增加。为了填补空白和减少远离参考点的InSAR检索误差,我们确定了地形和光学地表代理对InSAR冰浓度的可预测性,发现R2为0.6,坡度是最重要的预测因子。综上所述,InSAR反演提供了永久冻土层附近的定量冰浓度估计,而不依赖于地面冰的地表表现、原位观测和地质信息。它与光学遥感和地质信息相结合,有可能提供无缝的、精细尺度的永久冻土地面冰产品。
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来源期刊
ISPRS Journal of Photogrammetry and Remote Sensing
ISPRS Journal of Photogrammetry and Remote Sensing 工程技术-成像科学与照相技术
CiteScore
21.00
自引率
6.30%
发文量
273
审稿时长
40 days
期刊介绍: The ISPRS Journal of Photogrammetry and Remote Sensing (P&RS) serves as the official journal of the International Society for Photogrammetry and Remote Sensing (ISPRS). It acts as a platform for scientists and professionals worldwide who are involved in various disciplines that utilize photogrammetry, remote sensing, spatial information systems, computer vision, and related fields. The journal aims to facilitate communication and dissemination of advancements in these disciplines, while also acting as a comprehensive source of reference and archive. P&RS endeavors to publish high-quality, peer-reviewed research papers that are preferably original and have not been published before. These papers can cover scientific/research, technological development, or application/practical aspects. Additionally, the journal welcomes papers that are based on presentations from ISPRS meetings, as long as they are considered significant contributions to the aforementioned fields. In particular, P&RS encourages the submission of papers that are of broad scientific interest, showcase innovative applications (especially in emerging fields), have an interdisciplinary focus, discuss topics that have received limited attention in P&RS or related journals, or explore new directions in scientific or professional realms. It is preferred that theoretical papers include practical applications, while papers focusing on systems and applications should include a theoretical background.
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