Evaluating the stability of architectural heritage from the perspective of InSAR: a practical study on Jianchuan Ancient Town DOI Creative Commons
Menghua Li, X. Y. Gao, Minji Yang

и другие.

Heritage Science, Год журнала: 2024, Номер 12(1)

Опубликована: Ноя. 11, 2024

Abstract The increase in human activities and natural degradation often leads to tilting, collapsing, other forms of deterioration architectural heritage, posing significant threats its safety. Therefore, timely detection abnormal deformation signals buildings is essential for the protection heritage. Spaceborne synthetic aperture radar interferometry (InSAR) can detect slight displacements over large areas. However, relying solely on annual mean velocity maps derived from InSAR may not accurately assess stability ancient buildings. In this study, we developed a framework that evaluates individual by integrating with building footprints. Vertical rotational deformations, along temporal evolution these are combined generate results assessment. We used 74 TerraSAR-X images captured August 2017 November 2019 evaluate Jianchuan Ancient Town, renowned National Historical Cultural City China. displacement result suggests majority Town remains stable, 93% coherent points (CTs) displaying velocities ranging −5 5 mm/yr. Out 1,891 1404 considered 352 moderate stability, 12 deemed unstable. This study showed potential applications assessing heritages, emphasizing crucial role heritage preservation management.

Язык: Английский

Inventory of landslide relics in Zhenxiong County based on human-machine interactive visual interpretation, Yunnan Province, China DOI Creative Commons
Zhiwen Xue, Chong Xu, Zhang Zhi-qiang

и другие.

Frontiers in Earth Science, Год журнала: 2025, Номер 12

Опубликована: Янв. 10, 2025

Introduction Landslides occur frequently in Zhenxiong County, posing significant threats to residents’ lives and property. A comprehensive understanding of the development patterns landslide disasters this region is crucial for disaster prevention, land-use planning, risk assessment. Methods This study utilized high-resolution satellite imagery from Google Earth Pro platform employed a human-machine interactive visual interpretation approach investigate occurrences. inventory comprising 3,979 outlines was established through extensive literature review data cleaning techniques. The spatial distribution characteristics statistical landslides were analyzed. Results total landslide-affected area 319.20 km 2 , with largest covering 4.55 smallest measuring 1,779 m . average 80,215 majority (73.54%) classified as medium-sized landslides. percentage (LAP) 8.64%, number density (LND) 1.077 per highest recorded being 3.380 are predominantly concentrated four key areas: confluence Baishui River Yanxi River, Dashuigou Reservoir, both sides valley Heitang Village Hongyan Village, Xiaogou Village. These areas characterized by well-developed water systems, middle low mountains, heavily dissected landscapes. Discussion database provides essential scientific analyzing County. It offers valuable insights local governments relevant authorities findings highlight impact complex terrain developed systems mountain regions on disasters. Future studies should further integrate geological meteorological factors deeper analysis.

Язык: Английский

Процитировано

0
An InSAR-Based Framework for Advanced Large-Scale Failure Probability Assessment of Oil and Gas Pipelines DOI Creative Commons

Yanchen Yang,

Yang Liu,

Yihong Guo

и другие.

Remote Sensing, Год журнала: 2025, Номер 17(3), С. 504 - 504

Опубликована: Янв. 31, 2025

In the development and production of oilfields, oil gas gathering transportation pipelines play a pivotal role, with their safe stable operation being crucial for energy transmission. The environmental conditions geological disasters along pipeline routes pose significant threats to integrity. Existing research often fails adequately consider characteristics as entities that endure such disasters, well potential impacts surrounding ground deformations. This study establishes comprehensive failure probability assessment framework aimed at evaluating susceptibility factors, deformations routes. By employing DS-InSAR technology, we account effects deformation conduct an in-depth analysis vulnerability pipeline. These assessments are integrated using matrix method, resulting in level distribution map pipelines. this study, applied Ordos Basin China. insights offer understanding large-scale assessment, aiding relevant authorities precisely grasping conditions, changes on pipelines, enabling identification management priorities formulation more accurate protective measures.

Язык: Английский

Процитировано

0
Displacement characterization of active landslides near the Gushui Hydropower Station using multi-temporal SAR imageries DOI
Yi Zhang, Xuguo Shi,

Jin Yuan

и другие.

Landslides, Год журнала: 2025, Номер unknown

Опубликована: Май 26, 2025

Язык: Английский

Процитировано

0
Exploration of Landslide Geomorphology and Inventory Construction in Minhe County, Qinghai, China, Based on Google Earth Remote Sensing Imagery DOI Creative Commons
Qinxia Wang, Chong Xu, Jixiang Xu

и другие.

Transactions in GIS, Год журнала: 2024, Номер unknown

Опубликована: Дек. 10, 2024

ABSTRACT The upper reaches of the Yellow River, located at northeastern edge Qinghai‐Tibet Plateau in China, are characterized by intense tectonic activity and widespread landslide geomorphology. Creating a detailed objective map geomorphology this region is crucial for understanding development landslides. However, availability high‐quality inventories area limited, hindering comprehensive scientific disaster prevention efforts. This study utilized multi‐temporal high‐resolution remote sensing imagery provided Google Earth platform to conduct thorough survey inventory construction Minhe County, River. results show that within 1890.82 km 2 , least 5517 geomorphologies were identified, covering an 434.43 with landslide‐affected areas accounting approximately 22.98% total area. largest single 1.62 × 10 6 m while smallest 880.22 average 78743.04 . highest point density reached 11.5 −2 More than 80% landslides distributed townships Qianhe, Zhongchuan, Guanting, Bazhou. Landslides predominantly along tributaries Huangshui Rivers, denser occurrences river bends. In addition, some densely populated village areas, posing significant safety risks. These provide valuable data support further analysis spatial distribution risk assessment, other related research.

Язык: Английский

Процитировано

2
Multi-scale monitoring and safety assessment of a prefabricated subway station integrating space-borne InSAR, ground-based machine vision and internal-distributed fiber optic sensors DOI Creative Commons
Chengyu Hong, Jinyang Zhang, Yaxuan Zhang

и другие.

International Journal of Digital Earth, Год журнала: 2024, Номер 17(1)

Опубликована: Дек. 15, 2024

Safety monitoring of prefabricated subway stations is essential for early detection potential damages to mitigate major accidents. This study developed an integrated multi-scale safety assessment and strategy a station by combining space-borne synthetic aperture radar interferometry (InSAR), ground-based machine vision, internal-distributed fiber optic sensing (DFOS) technologies. Compared the traditional single-data-source-monitoring method, proposed space-ground-internal integration designed monitor subaway stations. includes mm level ground subsidence, submm structural surface deformation, microstrain internal strain field. Taking Shapu Station in Shenzhen as research site, spatiotemporal evolution land underground settlement convergence well changes were monitored. Then, data fusion methodology InSAR, DFOS measurements was presented effective station. The results indicated that deformation occurred during backfill period, dangerous assembly ring increased (the seventh at lowest level) when section completed.

Язык: Английский

Процитировано

1
Evaluating the stability of architectural heritage from the perspective of InSAR: a practical study on Jianchuan Ancient Town DOI Creative Commons
Menghua Li, X. Y. Gao, Minji Yang

и другие.

Heritage Science, Год журнала: 2024, Номер 12(1)

Опубликована: Ноя. 11, 2024

Abstract The increase in human activities and natural degradation often leads to tilting, collapsing, other forms of deterioration architectural heritage, posing significant threats its safety. Therefore, timely detection abnormal deformation signals buildings is essential for the protection heritage. Spaceborne synthetic aperture radar interferometry (InSAR) can detect slight displacements over large areas. However, relying solely on annual mean velocity maps derived from InSAR may not accurately assess stability ancient buildings. In this study, we developed a framework that evaluates individual by integrating with building footprints. Vertical rotational deformations, along temporal evolution these are combined generate results assessment. We used 74 TerraSAR-X images captured August 2017 November 2019 evaluate Jianchuan Ancient Town, renowned National Historical Cultural City China. displacement result suggests majority Town remains stable, 93% coherent points (CTs) displaying velocities ranging −5 5 mm/yr. Out 1,891 1404 considered 352 moderate stability, 12 deemed unstable. This study showed potential applications assessing heritages, emphasizing crucial role heritage preservation management.

Язык: Английский

Процитировано

0