Application of ALOS and Envisat Data in Improving Multi-Temporal InSAR Methods for Monitoring Damavand Volcano and Landslide Deformation in the Center of Alborz Mountains, North Iran
InSAR capacity to detect slow deformation over terrain areas is limited by temporal and geometric decorrelations. Multitemporal InSAR techniques involving Persistent Scatterer (Ps-InSAR) and Small Baseline (SBAS) are recently developed to compensate the decorrelation problems. Geometric decorrelatio...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2013-09-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W3/447/2013/isprsarchives-XL-1-W3-447-2013.pdf |
| _version_ | 1818997592697077760 |
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| author | S. Vajedian M. Motagh F. Nilfouroushan |
| author_facet | S. Vajedian M. Motagh F. Nilfouroushan |
| author_sort | S. Vajedian |
| collection | DOAJ |
| description | InSAR capacity to detect slow deformation over terrain areas is limited by temporal and geometric decorrelations. Multitemporal InSAR techniques involving Persistent Scatterer (Ps-InSAR) and Small Baseline (SBAS) are recently developed to compensate the decorrelation problems. Geometric decorrelation in mountainous areas especially for Envisat images makes phase unwrapping process difficult. To improve this unwrapping problem, we first modified phase filtering to make the wrapped phase image as smooth as possible. In addition, in order to improve unwrapping results, a modified unwrapping method has been developed. This method includes removing possible orbital and tropospheric effects. Topographic correction is done within three-dimensional unwrapping, Orbital and tropospheric corrections are done after unwrapping process.
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To evaluate the effectiveness of our improved method we tested the proposed algorithm by Envisat and ALOS dataset and compared our results with recently developed PS software (StaMAPS). In addition we used GPS observations for evaluating the modified method. The results indicate that our method improves the estimated deformation significantly. |
| first_indexed | 2024-12-20T21:48:05Z |
| format | Article |
| id | doaj.art-a179422e825448ca9876350291158f13 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-20T21:48:05Z |
| publishDate | 2013-09-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-a179422e825448ca9876350291158f132022-12-21T19:25:37ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342013-09-01XL-1/W344745110.5194/isprsarchives-XL-1-W3-447-2013Application of ALOS and Envisat Data in Improving Multi-Temporal InSAR Methods for Monitoring Damavand Volcano and Landslide Deformation in the Center of Alborz Mountains, North IranS. Vajedian0M. Motagh1F. Nilfouroushan2Department of Surveying and Geomatics engineering, Faculty of Engineering, University of Tehran, IranHelmholtz Center Potsdam, GFZ, Potsdam, GermanyDepartment of Earth Sciences, Uppsala University, Uppsala, SwedenInSAR capacity to detect slow deformation over terrain areas is limited by temporal and geometric decorrelations. Multitemporal InSAR techniques involving Persistent Scatterer (Ps-InSAR) and Small Baseline (SBAS) are recently developed to compensate the decorrelation problems. Geometric decorrelation in mountainous areas especially for Envisat images makes phase unwrapping process difficult. To improve this unwrapping problem, we first modified phase filtering to make the wrapped phase image as smooth as possible. In addition, in order to improve unwrapping results, a modified unwrapping method has been developed. This method includes removing possible orbital and tropospheric effects. Topographic correction is done within three-dimensional unwrapping, Orbital and tropospheric corrections are done after unwrapping process. <br><br> To evaluate the effectiveness of our improved method we tested the proposed algorithm by Envisat and ALOS dataset and compared our results with recently developed PS software (StaMAPS). In addition we used GPS observations for evaluating the modified method. The results indicate that our method improves the estimated deformation significantly.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W3/447/2013/isprsarchives-XL-1-W3-447-2013.pdf |
| spellingShingle | S. Vajedian M. Motagh F. Nilfouroushan Application of ALOS and Envisat Data in Improving Multi-Temporal InSAR Methods for Monitoring Damavand Volcano and Landslide Deformation in the Center of Alborz Mountains, North Iran The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | Application of ALOS and Envisat Data in Improving Multi-Temporal InSAR Methods for Monitoring Damavand Volcano and Landslide Deformation in the Center of Alborz Mountains, North Iran |
| title_full | Application of ALOS and Envisat Data in Improving Multi-Temporal InSAR Methods for Monitoring Damavand Volcano and Landslide Deformation in the Center of Alborz Mountains, North Iran |
| title_fullStr | Application of ALOS and Envisat Data in Improving Multi-Temporal InSAR Methods for Monitoring Damavand Volcano and Landslide Deformation in the Center of Alborz Mountains, North Iran |
| title_full_unstemmed | Application of ALOS and Envisat Data in Improving Multi-Temporal InSAR Methods for Monitoring Damavand Volcano and Landslide Deformation in the Center of Alborz Mountains, North Iran |
| title_short | Application of ALOS and Envisat Data in Improving Multi-Temporal InSAR Methods for Monitoring Damavand Volcano and Landslide Deformation in the Center of Alborz Mountains, North Iran |
| title_sort | application of alos and envisat data in improving multi temporal insar methods for monitoring damavand volcano and landslide deformation in the center of alborz mountains north iran |
| url | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W3/447/2013/isprsarchives-XL-1-W3-447-2013.pdf |
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