Determining Suitable Spaceborne SAR Observations and Ground Control Points for Surface Deformation Study in Rugged Terrain With InSAR Technique
We aim to address two primary issues using the multitemporal (MT) spaceborne SAR observations and InSAR technique to monitor slope stability in rugged terrains. One is how to maximize the observation and application effectiveness based on the geometric distortion in an area of interest for determini...
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oai:doaj.org-article:7cc4d8823e5c49d7a5e7c8c6b05b4d992021-11-19T00:00:20ZDetermining Suitable Spaceborne SAR Observations and Ground Control Points for Surface Deformation Study in Rugged Terrain With InSAR Technique2151-153510.1109/JSTARS.2021.3123326https://doaj.org/article/7cc4d8823e5c49d7a5e7c8c6b05b4d992021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9591262/https://doaj.org/toc/2151-1535We aim to address two primary issues using the multitemporal (MT) spaceborne SAR observations and InSAR technique to monitor slope stability in rugged terrains. One is how to maximize the observation and application effectiveness based on the geometric distortion in an area of interest for determining appropriate ascending- and descending-orbit SAR observations. The other is how to optimize the selection of ground control points (GCPs) to correct orbital phase errors and reference in deriving valid ground surface displacements in the SBAS InSAR analysis. Four criteria were proposed to identify valid GCPs efficiently and effectively. The 2017 Xinmo landslide event, China, was showcased. The tear-away zone was 100% and ∼50% distorted when imaged by ascending- and descending-orbit Sentinel-1A/B SAR sensors. The descending SAR datasets were preferred. Then, we identified four spatially dispersed GCP clusters with the selection criteria using the SBAS InSAR technique and 45 descending-orbit MT SAR datasets. One GCP per cluster was chosen. With the four GCPs and SBAS analysis, we successfully detected the stable status in the landslide-free area and the prelandslide acceleration movement within the tear-away zone. Valid InSAR-derived results have been obtained. In turn, the GCP selection criteria have been validated, and the two issues resolved.Yan YanYong WangIEEEarticleAmplitude dispersion index (ADI)geometric distortionground control point (GCP)multitemporal (MT) observationsphase derivative variance (PDV)SBAS interferometric synthetic aperture radar (InSAR)Ocean engineeringTC1501-1800Geophysics. Cosmic physicsQC801-809ENIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 11324-11334 (2021) |
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DOAJ |
language |
EN |
topic |
Amplitude dispersion index (ADI) geometric distortion ground control point (GCP) multitemporal (MT) observations phase derivative variance (PDV) SBAS interferometric synthetic aperture radar (InSAR) Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 |
spellingShingle |
Amplitude dispersion index (ADI) geometric distortion ground control point (GCP) multitemporal (MT) observations phase derivative variance (PDV) SBAS interferometric synthetic aperture radar (InSAR) Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 Yan Yan Yong Wang Determining Suitable Spaceborne SAR Observations and Ground Control Points for Surface Deformation Study in Rugged Terrain With InSAR Technique |
description |
We aim to address two primary issues using the multitemporal (MT) spaceborne SAR observations and InSAR technique to monitor slope stability in rugged terrains. One is how to maximize the observation and application effectiveness based on the geometric distortion in an area of interest for determining appropriate ascending- and descending-orbit SAR observations. The other is how to optimize the selection of ground control points (GCPs) to correct orbital phase errors and reference in deriving valid ground surface displacements in the SBAS InSAR analysis. Four criteria were proposed to identify valid GCPs efficiently and effectively. The 2017 Xinmo landslide event, China, was showcased. The tear-away zone was 100% and ∼50% distorted when imaged by ascending- and descending-orbit Sentinel-1A/B SAR sensors. The descending SAR datasets were preferred. Then, we identified four spatially dispersed GCP clusters with the selection criteria using the SBAS InSAR technique and 45 descending-orbit MT SAR datasets. One GCP per cluster was chosen. With the four GCPs and SBAS analysis, we successfully detected the stable status in the landslide-free area and the prelandslide acceleration movement within the tear-away zone. Valid InSAR-derived results have been obtained. In turn, the GCP selection criteria have been validated, and the two issues resolved. |
format |
article |
author |
Yan Yan Yong Wang |
author_facet |
Yan Yan Yong Wang |
author_sort |
Yan Yan |
title |
Determining Suitable Spaceborne SAR Observations and Ground Control Points for Surface Deformation Study in Rugged Terrain With InSAR Technique |
title_short |
Determining Suitable Spaceborne SAR Observations and Ground Control Points for Surface Deformation Study in Rugged Terrain With InSAR Technique |
title_full |
Determining Suitable Spaceborne SAR Observations and Ground Control Points for Surface Deformation Study in Rugged Terrain With InSAR Technique |
title_fullStr |
Determining Suitable Spaceborne SAR Observations and Ground Control Points for Surface Deformation Study in Rugged Terrain With InSAR Technique |
title_full_unstemmed |
Determining Suitable Spaceborne SAR Observations and Ground Control Points for Surface Deformation Study in Rugged Terrain With InSAR Technique |
title_sort |
determining suitable spaceborne sar observations and ground control points for surface deformation study in rugged terrain with insar technique |
publisher |
IEEE |
publishDate |
2021 |
url |
https://doaj.org/article/7cc4d8823e5c49d7a5e7c8c6b05b4d99 |
work_keys_str_mv |
AT yanyan determiningsuitablespacebornesarobservationsandgroundcontrolpointsforsurfacedeformationstudyinruggedterrainwithinsartechnique AT yongwang determiningsuitablespacebornesarobservationsandgroundcontrolpointsforsurfacedeformationstudyinruggedterrainwithinsartechnique |
_version_ |
1718420675993010176 |