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損傷したインフラを宇宙から診断(Diagnosing Damaged Infrastructure From Space)

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2024-06-06 テキサス A&M大学

インフラが老朽化すると故障のリスクが高まり、安全性や経済的な問題が発生します。テキサスA&M大学の研究チームは、合成開口レーダー(SAR)衛星データを使用してインフラ問題を早期発見する方法を開発しています。この技術により、舗装や擁壁、堤防の欠陥を迅速に特定でき、修理のための時間を大幅に短縮できます。SAR技術は、地質資産管理におけるデータ源として有効であり、コスト削減にも貢献します。この方法は、地震や土砂崩れなどの自然災害後の調査にも利用されており、予防的なインフラ管理を可能にします。

<関連情報>

舗装インフラ資産管理のための衛星ベース・リモートセンシングの応用 Application of Satellite-Based Remote Sensing for the Management of Pavement Infrastructure Assets

Amit Gajurel, Anand J. Puppala, […], and Hiramani Raj Chimauriya
Transportation Research Record  Published:March 21, 2024
DOI:https://doi.org/10.1177/03611981241230535

損傷したインフラを宇宙から診断(Diagnosing Damaged Infrastructure From Space)

Abstract

The long-term monitoring of transportation infrastructure assets at a lower cost and with short mobilization time is of significant interest to both state and federal transportation agencies in the U.S. Because of the significant improvement in spatial and temporal resolution of synthetic aperture radar (SAR) remote sensing systems and a notable reduction in the cost of data acquisition, SAR has now become a viable method to provide economic and rapid condition assessment of transportation assets. A research study was developed and performed to comprehensively perform the inspection and characterization of a pavement surface based on the amplitude of backscattering of an X-band radar. In situ characterization of the test site was first performed using traditional inertial profilers and aerial photogrammetry with unmanned aerial vehicle (UAV) surveys. The results from these in situ methods were compared with the corrected amplitude of the SAR data, which indicated that the distribution of surface roughness values computed from the inertial profiler, UAV, and SAR exhibited similar probability densities at various segmental lengths considered in this study. This suggested that the problematic areas that are evident during in situ characterization can be delineated and quantified based on the normalized radar cross section of the pavement surface. Overall, the outcome of this research exhibits the potential of SAR for future transportation asset management undertakings, and the systematic framework developed as a part of this research could be of significant interest to engineers and transportation practitioners.

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