InSAR estimates of excess ground ice concentrations near the permafrost table

IF 10.6 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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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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