Evidence map›Paper›PMID 40670532›Full record

ArticleScientific reports2025

Three-dimensional surface deformation field monitoring and influencing factors analysis in mountainous areas based on SBAS-INSAR technology (Tianjin, China).

Jun Shang, Mingyang Wang, Xin Wang, Mengyao Yang, Yifan Wu, Wangze Du

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jun ShangTianjin Chengjian University, Tianjin, 300192, China.
Mingyang WangTianjin Chengjian University, Tianjin, 300192, China. 16629077875@163.com.
Xin WangTianjin Chengjian University, Tianjin, 300192, China.
Mengyao YangTianjin Chengjian University, Tianjin, 300192, China.
Yifan WuTianjin Chengjian University, Tianjin, 300192, China.
Wangze DuTianjin Chengjian University, Tianjin, 300192, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Synthetic aperture radar interferometry (InSAR) technology has emerged as a critical methodology for disaster reduction and prevention, offering unprecedented all-weather operational capabilities and extensive spatial coverage that effectively address the limitations of traditional detection methods. Despite the inherent challenges of temporal and spatial coherence in conventional time-series InSAR approaches, the small baseline subset InSAR (SBAS-InSAR) technique presents a sophisticated solution by significantly mitigating coherence-related uncertainties and enhancing measurement precision. While existing research predominantly focuses on urban environments, this study uniquely addresses the research gap in mountainous terrain deformation monitoring by utilizing Sentinel-1A and 1B single-look complex (SLC) data from ascending and descending orbits between January 2018 and May 2022. The comprehensive analysis of land subsidence in northern Tianjin's mountainous region revealed multi-directional surface deformation characteristics, with validation against GNSS Kriging interpolation data demonstrating root mean square errors of 5.74 mm and 5.09 mm in vertical and east-west directions, respectively. The investigation exposed predominantly horizontal deformation influenced by large-scale engineering activities, topographic conditions, and precipitation patterns, with notable findings including a maximum north-south deformation of 54.62 mm in the Maojiayu landslide area and vertical cumulative deformations of 21.10 mm and - 10.31 mm in Maojiayu and Taoosi landslide areas. These results substantiate the efficacy of InSAR technology in monitoring surface deformation in mountainous regions, offering critical insights for regional geological disaster prevention and mitigation strategies.

Indexed as

GNSSKriging interpolationNorthern mountainous area of TianjinSBAS-InSARThree-dimensional (3D) deformation field

Identifiers

PMID40670532
PMCPMC12267393

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.