Monitoring subway construction using Sentinel-1 data: a case study in Bucharest, Romania-Reference-Cited by-同舟云学术

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Monitoring subway construction using Sentinel-1 data: a case study in Bucharest, Romania

Published:2019-12-06 Issue:7 Volume:41 Page:2644-2663
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Gheorghe Mihaela¹,Armaș Iuliana¹,Dumitru Paul²,Călin Alexandru²,Bădescu Octavian²,Necsoiu Marius³

Affiliation:

1. Department of Geomorphology-Pedology-Geomatics, University of Bucharest, Bucharest, Romania

2. Geodesy and Photogrammetry Department, Technical University of Civil Engineering of Bucharest, Bucharest, Romania

3. Defense & Intelligence Solutions, Southwest Research Institute, San Antonio, TX, USA

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2019.1694723

Reference36 articles.

1. InSAR time-series analysis of land subsidence in Bangkok, Thailand

2. Long-term ground deformation patterns of Bucharest using multi-temporal InSAR and multivariate dynamic analyses: a possible transpressional system?

3. InSAR validation based on GNSS measurements in Bucharest

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1. Overview and Analysis of Ground Subsidence along China’s Urban Subway Network Based on Synthetic Aperture Radar Interferometry;Remote Sensing;2024-04-26

2. Megalopolitan-scale ground deformation along metro lines in the Guangdong-Hong Kong-Macao Greater Bay Area, China, revealed by MT-InSAR;International Journal of Applied Earth Observation and Geoinformation;2023-08

3. Exploring the metro construction accidents and causations for improving safety management based on data mining and network theory;Engineering, Construction and Architectural Management;2023-01-13

4. InSAR technical aspects;Satellite Interferometry Data Interpretation and Exploitation;2023

5. Mapping Tunneling-Induced Uneven Ground Subsidence Using Sentinel-1 SAR Interferometry: A Twin-Tunnel Case Study of Downtown Los Angeles, USA;Remote Sensing;2022-12-30

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