Influences of DEM quality parameters on the topographic phase correction in DInSAR

Walter, Diana; Busch, Wolfgang

doi:10.1109/igarss.2012.6350553

Cited by 4 publications

(2 citation statements)

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“…After SAR image selection, DInSAR interferograms should be processed in a 2-pass approach applying standard processing steps (coregistration, interferogram generation, flat Earth removal, baseline correction, topographic phase estimation using external DEM, subtraction of the estimated topographic phase). In a mountain region, the DEM used for topographic phase correction should have a minimum of 25 m resolution and 3-5 m height accuracy when working with ERS DInSAR data having a spatial baseline lower than 250 m. With the same DEM quality and TSX data, the baseline has to be set lower (Walter and Busch, 2012). The resulting interferometric products can be multilooked in order to approximately obtain squared pixels.…”

Section: Methodology For Systematic Detection Of Slope Movements In Amentioning

confidence: 71%

“…As they appear in the same location in every interferogram using that DEM, the misinterpretation can be avoided with a large number of available interferograms (Massonnet and Feigl, ). To prevent artefacts, either an accurate DEM has to be used to remove the topography component correctly or image pairs with short spatial baselines should be chosen (Klees and Massonnet, ; Walter and Busch, ).…”

Section: Suitability Of Dinsar For Characterizing Slope Movement In Amentioning

confidence: 99%

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Inventorying slope movements in an Alpine environment using DInSAR

Barboux

Delaloye

Lambiel

2014

Earth Surf Processes Landf

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Differential SAR Interferometry (DInSAR) is a technique that can be used to detect and characterize slope movements. It is investigated here as a tool for establishing a detailed overview of complex slope movements at a regional scale in an Alpine context. This paper gives specific recommendations to use and to understand DInSAR signals in mountainous areas located above the tree line, excluding glaciated areas. It proposes a systematic procedure based on accurate interpretations of interferometric signals from a large DInSAR dataset to locate and estimate the displacement rate of moving zones. The methodology was successfully applied in the Western Swiss Alps, where about 1500 moving objects were detected above the tree line using a large dataset of ERS and JERS interferograms dating from the 1990s. The DInSAR-detected movements had a displacement rate ranging from a few centimeters to several meters per year and were attributed to various types of mass wasting phenomena (rock glaciers, landslides, etc.). This kind of inventory derived from DInSAR can be used as a preliminary tool for natural hazard management and process understanding in mountain areas. As automatic data archiving and systematic acquisition of SAR data are ensured worldwide for most SAR sensors, a similar methodology can basically be applied in many other parts of the globe -also by using data from current SAR sensors -as long as a high resolution DEM is available.

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Section: Methodology For Systematic Detection Of Slope Movements In Amentioning

confidence: 71%

Section: Suitability Of Dinsar For Characterizing Slope Movement In Amentioning

confidence: 99%

Inventorying slope movements in an Alpine environment using DInSAR

Barboux

Delaloye

Lambiel

2014

Earth Surf Processes Landf

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Identification and deformation analysis of potential landslides after the Jiuzhaigou earthquake by SBAS-InSAR

Chang

Sun

et al. 2023

Environ Sci Pollut Res

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Surface Subsidence in Urbanized Coastal Areas: PSI Methods Based on Sentinel-1 for Ho Chi Minh City

2020

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In Ho Chi Minh City (HCMC), Vietnam, though at present flooding is merely a recurring nuisance, there is increasing concern that a combination of impending climate change and rapid urbanization will significantly exacerbate the situation. Given the significant measures taken in HCMC to reduce groundwater extraction and sea-level rise (SLR) inundation since the most recent subsidence studies, we aim to update and contribute to the subsidence information of HCMC with continuous temporal coverage from 2017 to 2019. In this study, we use Persistent Scatterer Interferometry (PSI) with Copernicus Sentinel-1 data and open source tools to determine current subsidence rates within the urban center of HCMC. Additionally, the scalability of this method and use of freely accessible data allows for continuous updating and monitoring of this high-vulnerability region. The observed average subsidence rates were 3.3 mm per year with a maximum local subsidence of 5.3 cm per year. These results largely align with findings of previous studies and reflect similar spatial distributed subsidence patterns. Inundation risk awareness is enhanced by not only continued improved subsidence analysis, but also incorporating latest advancements in Digital Elevation Model (DEM) accuracy. This study compares local differences between traditionally used AW3D30 DEM with the CoastalDEM. Our findings indicate that although we identify lower than previously accepted elevations in the urban core, that stabilization of subsidence is observed in this same region.

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Influences of DEM quality parameters on the topographic phase correction in DInSAR

Cited by 4 publications

References 1 publication

Inventorying slope movements in an Alpine environment using DInSAR

Inventorying slope movements in an Alpine environment using DInSAR

Identification and deformation analysis of potential landslides after the Jiuzhaigou earthquake by SBAS-InSAR

Surface Subsidence in Urbanized Coastal Areas: PSI Methods Based on Sentinel-1 for Ho Chi Minh City

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