INTERFEROMETRIC POINT TARGET ANALYSIS (IPTA) FOR LANDSLIDE MONITORING
By the advent of Persistent Scatterer Interferometry (PSI) time-series analysis, this technique has demonstrated high performance in producing accurate measurements of ground displacements. However, due to several limitations such as high deformation rate, lack of man-made features and rough topogra...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2019-10-01
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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/XLII-4-W18/1079/2019/isprs-archives-XLII-4-W18-1079-2019.pdf |
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| author | M. Yarmohammad Touski M. Veiskarami M. Dehghani |
| author_facet | M. Yarmohammad Touski M. Veiskarami M. Dehghani |
| author_sort | M. Yarmohammad Touski |
| collection | DOAJ |
| description | By the advent of Persistent Scatterer Interferometry (PSI) time-series analysis, this technique has demonstrated high performance in producing accurate measurements of ground displacements. However, due to several limitations such as high deformation rate, lack of man-made features and rough topographic characteristic, the efficiency of the PSI significantly decreases. The main goal of this paper is to illustrate the potential of one of the PSI methods namely the Interferometric Point Target Analysis (IPTA) to measure the deformation caused by landslide. The landslide occurs in an area lacking man-made features with rough topography. To this end, 28 Sentinel-1A SLC images spanning from October 14 2014 to October 27 2016, were used to generate single-master interferograms. The PS pixels were identified using amplitude dispersion and spectral diversity criteria. The PS pixels were unwrapped considering a linear model for the deformation behavior in an iterative manner. The residual topography and atmospheric contributions were estimated in each iteration and subtracted from the PS pixels phases. The results were finally compared to those extracted from conventional Small Baseline Subset (SBAS) time series analysis applied on the same datasets. A good agreement existed between two methods in some locations whereas unwrapping errors probably due to improper deformation model were observed in a couple of points. |
| first_indexed | 2024-12-13T05:06:56Z |
| format | Article |
| id | doaj.art-ff94bc6426954f56908c640df68b6b69 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-13T05:06:56Z |
| publishDate | 2019-10-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-ff94bc6426954f56908c640df68b6b692022-12-21T23:58:39ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342019-10-01XLII-4-W181079108310.5194/isprs-archives-XLII-4-W18-1079-2019INTERFEROMETRIC POINT TARGET ANALYSIS (IPTA) FOR LANDSLIDE MONITORINGM. Yarmohammad Touski0M. Veiskarami1M. Dehghani2Dept. of Civil and Environmental Engineering, School of Engineering, Shiraz University, Shiraz, IranDept. of Civil and Environmental Engineering, School of Engineering, Shiraz University, Shiraz, IranDept. of Civil and Environmental Engineering, School of Engineering, Shiraz University, Shiraz, IranBy the advent of Persistent Scatterer Interferometry (PSI) time-series analysis, this technique has demonstrated high performance in producing accurate measurements of ground displacements. However, due to several limitations such as high deformation rate, lack of man-made features and rough topographic characteristic, the efficiency of the PSI significantly decreases. The main goal of this paper is to illustrate the potential of one of the PSI methods namely the Interferometric Point Target Analysis (IPTA) to measure the deformation caused by landslide. The landslide occurs in an area lacking man-made features with rough topography. To this end, 28 Sentinel-1A SLC images spanning from October 14 2014 to October 27 2016, were used to generate single-master interferograms. The PS pixels were identified using amplitude dispersion and spectral diversity criteria. The PS pixels were unwrapped considering a linear model for the deformation behavior in an iterative manner. The residual topography and atmospheric contributions were estimated in each iteration and subtracted from the PS pixels phases. The results were finally compared to those extracted from conventional Small Baseline Subset (SBAS) time series analysis applied on the same datasets. A good agreement existed between two methods in some locations whereas unwrapping errors probably due to improper deformation model were observed in a couple of points.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W18/1079/2019/isprs-archives-XLII-4-W18-1079-2019.pdf |
| spellingShingle | M. Yarmohammad Touski M. Veiskarami M. Dehghani INTERFEROMETRIC POINT TARGET ANALYSIS (IPTA) FOR LANDSLIDE MONITORING The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | INTERFEROMETRIC POINT TARGET ANALYSIS (IPTA) FOR LANDSLIDE MONITORING |
| title_full | INTERFEROMETRIC POINT TARGET ANALYSIS (IPTA) FOR LANDSLIDE MONITORING |
| title_fullStr | INTERFEROMETRIC POINT TARGET ANALYSIS (IPTA) FOR LANDSLIDE MONITORING |
| title_full_unstemmed | INTERFEROMETRIC POINT TARGET ANALYSIS (IPTA) FOR LANDSLIDE MONITORING |
| title_short | INTERFEROMETRIC POINT TARGET ANALYSIS (IPTA) FOR LANDSLIDE MONITORING |
| title_sort | interferometric point target analysis ipta for landslide monitoring |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W18/1079/2019/isprs-archives-XLII-4-W18-1079-2019.pdf |
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