DEFORMATION MONITORING AND TIME-SERIES & DISASTER POTENTIALITY ANALYSIS OF GAS PIPELINE USING SENTINEL DATA
Abstract. Synthetic aperture radar interferometry (InSAR) measurement technology is a new remote sensing technology that can effectively monitor slight land deformation. Compared with traditional monitoring technology, InSAR technology has the advantages of wide coverage, all-weather and low cost, providing a technical means of high-resolution, high-precision and low-cost for hidden geological hazard identification and deformation monitoring along pipelines. For purpose of this paper, we performed deformation time-series comprehensive processing and analysis on gas pipeline based on Sentinel-1 image data through small baseline data processing, and extracted pipeline deformation quantities from 2020 to 2022. The land deformation rate of the ascending track data during this period ranges from −43 mm/year to 25 mm/year, and that of the descending track data from −66 mm/year to 33 mm/year. The results show that the area along the gas pipeline is in stable condition on the whole, deformation mainly occurred along a section in the northwest of Haidian District, and a large quantity of deformation occurred since January of 2020 until December of 2021, with the maximum deformation quantity of −70mm, This result provided a reliable reference for safety monitoring and repair & maintenance of the gas pipeline.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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DEFORMATION MONITORING AND TIME-SERIES & DISASTER POTENTIALITY ANALYSIS OF GAS PIPELINE USING SENTINEL DATA ; volume:XLVIII-1/W2-2023 ; year:2023 ; pages:1595-1600 ; extent:6
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; XLVIII-1/W2-2023 (2023), 1595-1600 (gesamt 6)
- Urheber
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Wang, X.
Zhang, P.
Wu, J.
Li, Z.
Tang, W.
Sun, Z.
- DOI
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10.5194/isprs-archives-XLVIII-1-W2-2023-1595-2023
- URN
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urn:nbn:de:101:1-2023122103490513894358
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:27 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Wang, X.
- Zhang, P.
- Wu, J.
- Li, Z.
- Tang, W.
- Sun, Z.
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