Subsidence monitoring with TerraSAR-X data in Beijing Central Business District and subway tunnelings, China

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: Subsidence monitoring with TerraSAR-X data in Beijing Central Business District and subway tunnelings, China ; volume:382 ; year:2020 ; pages:125-130
Proceedings of the International Association of Hydrological Sciences / International Association of Hydrological Sciences ; 382 (2020), 125-130

Classification: Natürliche Ressourcen, Energie und Umwelt

Creator: Li, Fengkai
Gong, Huili
Chen, Beibei
Gao, Mingliang
Zhou, Chaofan

DOI: 10.5194/piahs-382-125-2020

URN: urn:nbn:de:101:1-2020042305362170742087

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:52 AM CEST

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Associated

Li, Fengkai
Gong, Huili
Chen, Beibei
Gao, Mingliang
Zhou, Chaofan

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Beijing di tie zhan ming zhang gu : = Alusions in the subway stations' name of Beijing

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Beijing di tie zhan ming zhang gu : = Alusions in the subway stations' name of Beijing

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Beispielsammlung | Bildband

Metro : = subway

Graffiti | Streetart

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London Subway

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Monitoring subsidence rates along road network by persistent scatterer SAR interferometry with high-resolution TerraSAR-X imagery

Emerging Spatio-temporal Hot Spot Analysis of Beijing Subsidence Trend Detection Based on PS-InSAR

Regional and local land subsidence at the Venice coastland by TerraSAR-X PSI

Beijing di tie zhan ming zhang gu : = Alusions in the subway stations' name of Beijing

Graffiti | Streetart

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LAND SUBSIDENCE MONITORING USING PS-InSAR TECHNIQUE FOR L-BAND SAR DATA

MINING LAND SUBSIDENCE MONITORING USING SENTINEL-1 SAR DATA

AV-Materialien

London Subway

Beispielsammlung | Bildband

Metro : = subway

Graffiti | Streetart

SubWAY

AV-Materialien

London Subway

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Subsidence monitoring with TerraSAR-X data in Beijing Central Business District and subway tunnelings, China

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Other Objects (12)

Spatiotemporal heterogeneity of land subsidence in Beijing

Monitoring subsidence rates along road network by persistent scatterer SAR interferometry with high-resolution TerraSAR-X imagery

Emerging Spatio-temporal Hot Spot Analysis of Beijing Subsidence Trend Detection Based on PS-InSAR

Regional and local land subsidence at the Venice coastland by TerraSAR-X PSI

Beijing di tie zhan ming zhang gu : = Alusions in the subway stations' name of Beijing

SUBWAY

LAND SUBSIDENCE MONITORING USING PS-InSAR TECHNIQUE FOR L-BAND SAR DATA

MINING LAND SUBSIDENCE MONITORING USING SENTINEL-1 SAR DATA

London Subway

Metro : = subway

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London Subway

Spatiotemporal heterogeneity of land subsidence in Beijing

Monitoring subsidence rates along road network by persistent scatterer SAR interferometry with high-resolution TerraSAR-X imagery

Emerging Spatio-temporal Hot Spot Analysis of Beijing Subsidence Trend Detection Based on PS-InSAR

Regional and local land subsidence at the Venice coastland by TerraSAR-X PSI

Beijing di tie zhan ming zhang gu : = Alusions in the subway stations' name of Beijing

SUBWAY

LAND SUBSIDENCE MONITORING USING PS-InSAR TECHNIQUE FOR L-BAND SAR DATA

MINING LAND SUBSIDENCE MONITORING USING SENTINEL-1 SAR DATA

London Subway

Metro : = subway

SubWAY

London Subway

Spatiotemporal heterogeneity of land subsidence in Beijing

Monitoring subsidence rates along road network by persistent scatterer SAR interferometry with high-resolution TerraSAR-X imagery

Emerging Spatio-temporal Hot Spot Analysis of Beijing Subsidence Trend Detection Based on PS-InSAR

Regional and local land subsidence at the Venice coastland by TerraSAR-X PSI

Beijing di tie zhan ming zhang gu : = Alusions in the subway stations' name of Beijing

SUBWAY

LAND SUBSIDENCE MONITORING USING PS-InSAR TECHNIQUE FOR L-BAND SAR DATA

MINING LAND SUBSIDENCE MONITORING USING SENTINEL-1 SAR DATA

London Subway

Metro : = subway

SubWAY

London Subway

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