Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W3, 447-451, 2013
https://doi.org/10.5194/isprsarchives-XL-1-W3-447-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
25 Sep 2013
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
S. Vajedian1, M. Motagh2, and F. Nilfouroushan3 1Department of Surveying and Geomatics engineering, Faculty of Engineering, University of Tehran, Iran
2Helmholtz Center Potsdam, GFZ, Potsdam, Germany
3Department of Earth Sciences, Uppsala University, Uppsala, Sweden
Keywords: InSAR, Multi Temporal, Deformation, Volcano, Landslide, Topographic correction, SBAS, Ps-InSAR Abstract. 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.

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.

Conference paper (PDF, 1371 KB)


Citation: Vajedian, S., Motagh, M., and Nilfouroushan, F.: 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, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W3, 447-451, https://doi.org/10.5194/isprsarchives-XL-1-W3-447-2013, 2013.

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