Product catalogue
A novel framework for combining polarimetric Sentinel-1 InSAR time series in subsidence monitoring - A case study of Sydney
<div>The city of Sydney, Australia has been growing rapidly over the last decades, with rapid development of residential and transportation infrastructure. Land subsidence associated with the urban development can lead to serious issues which should be thoroughly understood and carefully managed. Hence this study developed an enhanced multi-polarisation time-series InSAR (Pol-TS-InSAR) processing framework to address this challenging application. This is done by integrating the information from different polarimetric channels with different weighting during the TS-InSAR analysis. Ninety dual polarization Sentinel-1 images acquired from 2019 to 2022 are analysed using the developed Pol-TS-InSAR to map the land subsidence in Sydney with the assistance of the GPS measurements. Improvement of measurement points density from Pol-TS-InSAR is observed compared to the single polarimetric TS-InSAR counterpart for all land use types (ranging between 21% and 99%). The comparison between the Pol-TS-InSAR measurements and GPS measurements shows an absolute mean difference and RMS difference of 0.7 mm/yr and 0.9 mm/yr, respectively, in line-of-sight (LoS) direction. The ground subsidence results obtained have been investigated. It is found that the main subsidence factors in Sydney are related to groundwater extraction, mining activities, underground tunnel construction and landfill, which the latter two factors are less aware previously. In additional to these factors, land subsidence related to high-rise building construction has also been observed, even though the impact seems to be less significant than other factors.
<b>Citation:</b> Alex Hay-Man Ng, Ziyue Liu, Zheyuan Du, Hengwei Huang, Hua Wang, Linlin Ge, A novel framework for combining polarimetric Sentinel-1 InSAR time series in subsidence monitoring - A case study of Sydney,<i>Remote Sensing of Environment</i>, Volume 295, <b>2023</b>, 113694, ISSN 0034-4257. https://doi.org/10.1016/j.rse.2023.113694.
Simple
Identification info
- Date (Creation)
- 2022-11-10T07:00:00
- Date (Publication)
- 2024-02-15T00:39:45
- Citation identifier
- Geoscience Australia Persistent Identifier/https://pid.geoscience.gov.au/dataset/ga/147533
- Cited responsible party
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Role Organisation / Individual Name Details Author Ng, A. HM.
External Contact Author Liu, Z.
External Contact Author Du, Z.
Internal Contact Author Huang, H.
External Contact Author Wang, H.
External Contact Author Ge, L.
External Contact Publisher Elsevier Inc
External Contact
- Name
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Remote Sensing of Environment
- Issue identification
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Volume 295, 1 September 2023, 113694
- Purpose
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Development of a novel framework for combining polarimetric InSAR time series for subsidence monitoring - a case study of Sydney
- Status
- Completed
- Point of contact
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Role Organisation / Individual Name Details Resource provider Space Division
External Contact Point of contact Commonwealth of Australia (Geoscience Australia)
Voice Point of contact Du, Z.
Internal Contact
- Spatial representation type
- Topic category
-
- Geoscientific information
Extent
))
- Maintenance and update frequency
- As needed
Resource format
- Title
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Product data repository: Various Formats
- Website
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Data Store directory containing the digital product files
Data Store directory containing one or more files, possibly in a variety of formats, accessible to Geoscience Australia staff only for internal purposes
- Project
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Sydney Subsidence
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- Keywords
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Sydney subsidence
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- Keywords
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tunnel subsidence
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- Keywords
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InSAR
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- theme.ANZRC Fields of Research.rdf
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Photogrammetry and Remote Sensing
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- Keywords
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Published_External
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Resource constraints
- Title
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence
- Alternate title
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CC-BY-NC-ND
- Edition
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4.0
- Addressee
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Role Organisation / Individual Name Details User Any
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- Use constraints
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- Other constraints
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© 2023 The Authors.
Resource constraints
- Title
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Australian Government Security Classification System
- Edition date
- 2018-11-01T00:00:00
- Classification
- Unclassified
- Classification system
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Australian Government Security Classification System
- Language
- English
- Character encoding
- UTF8
Distribution Information
- Distributor contact
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Role Organisation / Individual Name Details Distributor Commonwealth of Australia (Geoscience Australia)
Voice facsimile
- OnLine resource
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Link to Journal
Link to Journal
- Distribution format
-
Resource lineage
- Statement
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This manuscript was submitted to Remote Sensing of Environment
Metadata constraints
- Title
-
Australian Government Security Classification System
- Edition date
- 2018-11-01T00:00:00
- Classification
- Unclassified
Metadata
- Metadata identifier
-
urn:uuid/8fe53a1a-7ae8-4913-af27-824a50d6a4ba
- Title
-
GeoNetwork UUID
- Language
- English
- Character encoding
- UTF8
- Contact
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Role Organisation / Individual Name Details Point of contact Commonwealth of Australia (Geoscience Australia)
Voice Point of contact Du, Z.
Internal Contact
Type of resource
- Resource scope
- Document
- Name
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Journal Article / Conference Paper
Alternative metadata reference
- Title
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Geoscience Australia - short identifier for metadata record with
uuid
- Citation identifier
- eCatId/147533
- Date info (Creation)
- 2024-02-05T04:16:39
- Date info (Revision)
- 2024-02-05T04:16:39
Metadata standard
- Title
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AU/NZS ISO 19115-1:2014
Metadata standard
- Title
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ISO 19115-1:2014
Metadata standard
- Title
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ISO 19115-3
- Title
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Geoscience Australia Community Metadata Profile of ISO 19115-1:2014
- Edition
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Version 2.0, September 2018
- Citation identifier
- http://pid.geoscience.gov.au/dataset/ga/122551