MULTI-TEMPORAL SAR INTERFEROMETRY FOR LANDSLIDE MONITORING
In the past few years, SAR Interferometry specially InSAR and D-InSAR were extensively used for deformation monitoring related applications. Due to temporal and spatial decorrelation in dense vegetated areas, effectiveness of InSAR and D-InSAR observations were always under scrutiny. Multi-temporal...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2016-06-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/55/2016/isprs-archives-XLI-B8-55-2016.pdf |
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| author | R. Dwivedi A. B. Narayan A. Tiwari O. Dikshit A. K. Singh |
| author_facet | R. Dwivedi A. B. Narayan A. Tiwari O. Dikshit A. K. Singh |
| author_sort | R. Dwivedi |
| collection | DOAJ |
| description | In the past few years, SAR Interferometry specially InSAR and D-InSAR were extensively used for deformation monitoring related applications. Due to temporal and spatial decorrelation in dense vegetated areas, effectiveness of InSAR and D-InSAR observations were always under scrutiny. Multi-temporal InSAR methods are developed in recent times to retrieve the deformation signal from pixels with different scattering characteristics. Presently, two classes of multi-temporal InSAR algorithms are available- Persistent Scatterer (PS) and Small Baseline (SB) methods. This paper discusses the Stanford Method for Persistent Scatterer (StaMPS) based PS-InSAR and the Small Baselines Subset (SBAS) techniques to estimate the surface deformation in Tehri dam reservoir region in Uttarkhand, India. Both PS-InSAR and SBAS approaches used sixteen ENVISAT ASAR C-Band images for generating single master and multiple master interferograms stack respectively and their StaMPS processing resulted in time series 1D-Line of Sight (LOS) mean velocity maps which are indicative of deformation in terms of movement towards and away from the satellites. From 1D LOS velocity maps, localization of landslide is evident along the reservoir rim area which was also investigated in the previous studies. Both PS-InSAR and SBAS effectively extract measurement pixels in the study region, and the general results provided by both approaches show a similar deformation pattern along the Tehri reservoir region. Further, we conclude that StaMPS based PS-InSAR method performs better in terms of extracting more number of measurement pixels and in the estimation of mean Line of Sight (LOS) velocity as compared to SBAS method. It is also proposed to take up a few major landslides area in Uttarakhand for slope stability assessment. |
| first_indexed | 2024-04-13T10:38:08Z |
| format | Article |
| id | doaj.art-6cf9b66a95c34be59040591d3aeb45ce |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-04-13T10:38:08Z |
| publishDate | 2016-06-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-6cf9b66a95c34be59040591d3aeb45ce2022-12-22T02:50:00ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342016-06-01XLI-B8555810.5194/isprs-archives-XLI-B8-55-2016MULTI-TEMPORAL SAR INTERFEROMETRY FOR LANDSLIDE MONITORINGR. Dwivedi0A. B. Narayan1A. Tiwari2O. Dikshit3A. K. Singh4Geographic Information System (GIS) Cell, MNNIT Allahabad, IndiaDepartment of Civil Engineering, IIT Kanpur, IndiaDepartment of Civil Engineering, IIT Kanpur, IndiaDepartment of Civil Engineering, IIT Kanpur, IndiaGeographic Information System (GIS) Cell, MNNIT Allahabad, IndiaIn the past few years, SAR Interferometry specially InSAR and D-InSAR were extensively used for deformation monitoring related applications. Due to temporal and spatial decorrelation in dense vegetated areas, effectiveness of InSAR and D-InSAR observations were always under scrutiny. Multi-temporal InSAR methods are developed in recent times to retrieve the deformation signal from pixels with different scattering characteristics. Presently, two classes of multi-temporal InSAR algorithms are available- Persistent Scatterer (PS) and Small Baseline (SB) methods. This paper discusses the Stanford Method for Persistent Scatterer (StaMPS) based PS-InSAR and the Small Baselines Subset (SBAS) techniques to estimate the surface deformation in Tehri dam reservoir region in Uttarkhand, India. Both PS-InSAR and SBAS approaches used sixteen ENVISAT ASAR C-Band images for generating single master and multiple master interferograms stack respectively and their StaMPS processing resulted in time series 1D-Line of Sight (LOS) mean velocity maps which are indicative of deformation in terms of movement towards and away from the satellites. From 1D LOS velocity maps, localization of landslide is evident along the reservoir rim area which was also investigated in the previous studies. Both PS-InSAR and SBAS effectively extract measurement pixels in the study region, and the general results provided by both approaches show a similar deformation pattern along the Tehri reservoir region. Further, we conclude that StaMPS based PS-InSAR method performs better in terms of extracting more number of measurement pixels and in the estimation of mean Line of Sight (LOS) velocity as compared to SBAS method. It is also proposed to take up a few major landslides area in Uttarakhand for slope stability assessment.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/55/2016/isprs-archives-XLI-B8-55-2016.pdf |
| spellingShingle | R. Dwivedi A. B. Narayan A. Tiwari O. Dikshit A. K. Singh MULTI-TEMPORAL SAR INTERFEROMETRY FOR LANDSLIDE MONITORING The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | MULTI-TEMPORAL SAR INTERFEROMETRY FOR LANDSLIDE MONITORING |
| title_full | MULTI-TEMPORAL SAR INTERFEROMETRY FOR LANDSLIDE MONITORING |
| title_fullStr | MULTI-TEMPORAL SAR INTERFEROMETRY FOR LANDSLIDE MONITORING |
| title_full_unstemmed | MULTI-TEMPORAL SAR INTERFEROMETRY FOR LANDSLIDE MONITORING |
| title_short | MULTI-TEMPORAL SAR INTERFEROMETRY FOR LANDSLIDE MONITORING |
| title_sort | multi temporal sar interferometry for landslide monitoring |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/55/2016/isprs-archives-XLI-B8-55-2016.pdf |
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