Multi-sensor InSAR Analysis of Surface Displacement over Coastal Urban City of Trondheim

Shamshiri, Roghayeh; Nahavandchi, Hossein; Motagh, Mahdi; Haghighi, Mahmud Haghshenas

doi:10.1016/j.procs.2016.09.267

Cited by 3 publications

(2 citation statements)

References 20 publications

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“…From the original PSI method proposed by Ferretti et al [23], several approaches were proposed in subsequent years [26,[29][30][31][32][33][34]. These methods have been used for monitoring land deformation using European Remote-Sensing (ERS) and Environmental Satellite (Envisat) data [35], S1 data [36][37][38], by means of a multitrack PSI technique using the Advanced Land Observation Satellite phased array type L-band synthetic aperture radar (ALOS PALSAR) data in China [38] and with a multisensor approach employing TerraSAR-X (TSX), Radarsat-2 and S1 [39]. They have also been used for monitoring subsidence induced by mining activities using Radarsat-2, S1 and ALOS-2 data [40], subsidence induced by water depletion in aquifers using ERS-1/2 and Envisat data [41], land deformation using Constellation of Small Satellites for the Mediterranean Basin Observation (COSMO-SkyMed, CSK) over the historic center of Rome [42], building deformation using TSX [43,44], landslides using CSK and Envisat data [45], volcano crustal deformation using ERS-1/2 data [15,46] and extraction of hydrocarbons and groundwater [47,48].…”

Section: Introductionmentioning

confidence: 99%

Sentinel-1 for Monitoring Land Subsidence of Coastal Cities in Africa Using PSInSAR: A Methodology Based on the Integration of SNAP and StaMPS

2019

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The sub-Saharan African coast is experiencing fast-growing urbanization, particularly around major cities. This threatens the equilibrium of the socio-ecosystems where they are located and on which they depend: underground water resources are exploited with a disregard for sustainability; land is reclaimed from wetlands or lagoons; built-up areas, both formal and informal, grow without adequate urban planning. Together, all these forces can result in land surface deformation, subsidence or even uplift, which can increase risk within these already fragile socio-ecosystems. In particular, in the case of land subsidence, the risk of urban flooding can increase significantly, also considering the contribution of sea level rise driven by climate change. Monitoring such fast-changing environments is crucial to be able to identify key risks and plan adaptation responses to mitigate current and future flood risks. Persistent scatterer interferometry (PSI) with synthetic aperture radar (SAR) is a powerful tool to monitor land deformation with high precision using relatively low-cost technology, also thanks to the open access data of Sentinel-1, which provides global observations every 6 days at 20-m ground resolution. In this paper, we demonstrate how it is possible to monitor land subsidence in urban coastal areas by means of permanent scatterer interferometry and Sentinel-1, exploiting an automatic procedure based on an integration of the Sentinel Application Platform (SNAP) and the Stanford Method for Persistent Scatterers (StaMPS). We present the results of PSI analysis over the cities of Banjul (the Gambia) and Lagos (Nigeria) showing a comparison of results obtained with TerraSAR-X, Constellation of Small Satellites for the Mediterranean Basin Observation (COSMO-SkyMed) and Environmental Satellite advanced synthetic aperture radar (Envisat-ASAR) data. The methodology allows us to highlight areas of high land deformation, information that is useful for urban development, disaster risk management and climate adaptation planning.

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Section: Introductionmentioning

confidence: 99%

Sentinel-1 for Monitoring Land Subsidence of Coastal Cities in Africa Using PSInSAR: A Methodology Based on the Integration of SNAP and StaMPS

2019

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“…Several methods have proposed to observe disaster and environmental change on the land surface using phase information, especially interferometric SAR (InSAR) and differential InSAR (DInSAR) [4]- [7] for single event change by a pair of images, and permanent scatterer InSAR (PSI) [8]- [11] to derive velocity of land surface deformation. There are various challenges in deriving long-term land deformation using different datasets acquired by different satellite SAR missions, for example, Shamshiri et al [12] proposed the InSAR timeseries technique using small baseline subset (SBAS) approach to observe the urban displacement using the observed period overlap of TerraSAR-X, Radarsat-2, and Sentinel-1 satellites. Then, Zhao et al [13] proposed a statistical-based modification of quantile-quantile adjustment (MQQA) to merge the long-term ground displacement time-series using multisensors.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Spouted Hot Mudflow Current Using Continuity Equation and DInSAR

Sumantyo

Perissin²,

Widodo³

et al. 2022

IEEE Trans. Geosci. Remote Sensing

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Several techniques have been proposed to observe long-term land surface deformation using phase information of synthetic aperture radar (SAR), for example, interferometric SAR (InSAR), differential interferometric SAR (DInSAR), permanent scatterer interferometric SAR (PS-InSAR), and small baseline subset (SBAS) using images of JERS-1, ALOS-1/2, ENVISAT, ERS-1/2, RADARSAT-1/2, TerraSAR-X, SENTINEL-1A/B, and so on. These methods have also been employed to investigate land deformation and the impact caused by the hot mudflow accident at the study area of regency of Sidoarjo, East Java province, Indonesia, where this disaster happened on May 29, 2006, and has been flowing until now. But these methods only derived the land surface deformation and did not figure geological situation in the Earth, especially the current of geological material outflow. Therefore, this research proposed the continuity equation of the law of conservation of material to estimate the current of material outflow to investigate the impact of the land surface disaster in the study area. The information of vertical deformation or subsidence is derived by the consecutive DInSAR using multispaceborne SAR and substituted into the proposed equation to estimate the volume and current of hot mud outflow. The differential global positioning system (GPS) data collected since 2006 were employed to validate the analysis result of land surface deformation, and the root means square (rms) error is 0.46 m. The result obtained the current at the center of the study area at the beginning of the mudflow period was 6800 m 3 /day and decreased from 2018 until now that matched Manuscript

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CO2 capture and storage monitoring based on remote sensing techniques: A review

Zhang

Yang

et al. 2021

Journal of Cleaner Production

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Multi-sensor InSAR Analysis of Surface Displacement over Coastal Urban City of Trondheim

Cited by 3 publications

References 20 publications

Sentinel-1 for Monitoring Land Subsidence of Coastal Cities in Africa Using PSInSAR: A Methodology Based on the Integration of SNAP and StaMPS

Sentinel-1 for Monitoring Land Subsidence of Coastal Cities in Africa Using PSInSAR: A Methodology Based on the Integration of SNAP and StaMPS

Estimation of Spouted Hot Mudflow Current Using Continuity Equation and DInSAR

CO2 capture and storage monitoring based on remote sensing techniques: A review

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