Multi-temporal InSAR and Sentinel-1 for assessing land surface movement of Joshimath town, India

References

• Ansari H, De Zan F, Bamler R. 2018. Efficient phase estimation for interferogram stacks. IEEE Trans Geosci Remote Sensing. 56(7):4109–4125. doi: 10.1109/TGRS.2018.2826045.
   Web of Science ®Google Scholar
• Berardino P, Fornaro G, Lanari R, Sansosti E. 2002. A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms. IEEE Trans Geosci Remote Sensing. 40(11):2375–2383. doi: 10.1109/TGRS.2002.803792.
   Web of Science ®Google Scholar
• Doin M-P, Lasserre C, Peltzer G, Cavalié O, Doubre C. 2009. Corrections of stratified tropospheric delays in SAR interferometry: validation with global atmospheric models. J Appl Geophys. 69(1):35–50. doi: 10.1016/j.jappgeo.2009.03.010.
   Web of Science ®Google Scholar
• Falabella F, Pepe A. 2022. On the phase nonclosure of multilook SAR interferogram triplets. IEEE Trans Geosci Remote Sensing. 60:1–17. doi: 10.1109/TGRS.2022.3216083.
   Web of Science ®Google Scholar
• Fattahi H, Amelung F. 2015. InSAR bias and uncertainty due to the systematic and stochastic tropospheric delay. J Geophys Res Solid Earth. 120(12):8758–8773. doi: 10.1002/2015JB012419.
   Web of Science ®Google Scholar
• Ferretti A, Fumagalli A, Novali F, Prati C, Rocca F, Rucci A. 2011. A new algorithm for processing interferometric data-stacks: squeeSAR. IEEE Trans Geosci Remote Sensing. 49(9):3460–3470. doi: 10.1109/TGRS.2011.2124465.
   Web of Science ®Google Scholar
• Ferretti A, Prati C, Rocca F. 2001. Permanent scatterers in SAR interferometry. IEEE Trans Geosci Remote Sensing. 39(1):8–20. doi: 10.1109/36.898661.
   Web of Science ®Google Scholar
• Guarnieri AM, Tebaldini S. 2007. Hybrid CramÉr–Rao bounds for crustal displacement field estimators in SAR interferometry. IEEE Signal Process Lett. 14(12):1012–1015. doi: 10.1109/LSP.2007.904705.
   Web of Science ®Google Scholar
• Guarnieri AM, Tebaldini S. 2008. On the exploitation of target statistics for SAR interferometry applications. IEEE Trans Geosci Remote Sensing. 46(11):3436–3443. doi: 10.1109/TGRS.2008.2001756.
   Web of Science ®Google Scholar
• Hetland EA, Musé P, Simons M, Lin YN, Agram PS, DiCaprio CJ. 2012. Multiscale InSAR Time Series (MInTS) analysis of surface deformation: MULTISCALE INSAR TIME SERIES. J Geophys Res. 117(B2):n/a–n/a. doi: 10.1029/2011JB008731.
   Google Scholar
• Hooper A, Zebker H, Segall P, Kampes B. 2004. A new method for measuring deformation on volcanoes and other natural terrains using InSAR persistent scatterers: a NEW PERSISTENT SCATTERERS METHOD. Geophys Res Lett. 31(23):1–5. doi: 10.1029/2004GL021737.
   Web of Science ®Google Scholar
• Kim J, Lin S-Y, Singh T, Singh RP. 2023. InSAR time series analysis to evaluate subsidence risk of monumental Chandigarh City (India) and surroundings. IEEE Trans Geosci Remote Sensing. 1–1. doi: 10.1109/TGRS.2023.3305863.
   Web of Science ®Google Scholar
• Lauknes TR, Zebker HA, Larsen Y. 2011. InSAR deformation time series using an $L_{1}$-norm small-baseline approach. IEEE Trans Geosci Remote Sensing. 49(1):536–546. doi: 10.1109/TGRS.2010.2051951.
   Web of Science ®Google Scholar
• López-Quiroz P, Doin M-P, Tupin F, Briole P, Nicolas J-M. 2009. Time series analysis of Mexico City subsidence constrained by radar interferometry. J Appl Geophys. 69(1):1–15. doi: 10.1016/j.jappgeo.2009.02.006.
   Web of Science ®Google Scholar
• Misra MC. 1976. Commissioner Garhwal Mandal, high level committee report on Joshimath sinking. Dehradun, India: Government of Uttarakhand.
   Google Scholar
• Mora O, Mallorqui JJ, Broquetas A. 2003. Linear and nonlinear terrain deformation maps from a reduced set of interferometric SAR images. IEEE Trans Geosci Remote Sensing. 41(10):2243–2253. doi: 10.1109/TGRS.2003.814657.
   Web of Science ®Google Scholar
• Mukherjee PK, Jain AK, Singhal S, Singha NB, Singh S, Kumud K, Seth P, Patel RC. 2019. U-Pb zircon ages and Sm-Nd isotopic characteristics of the Lesser and Great Himalayan sequences, Uttarakhand Himalaya, and their regional tectonic implications. Gondwana Res. 75:282–297. doi: 10.1016/j.gr.2019.06.001.
   Web of Science ®Google Scholar
• NDMA. 2022. Detailed report: Uttarakhand disaster on 7th February 2021. New Delhi: NDMA, MHA, Govt. of India.
   Google Scholar
• Pepe A, Bertran Ortiz A, Lundgren PR, Rosen PA, Lanari R. 2011. The Stripmap–ScanSAR SBAS approach to fill gaps in Stripmap deformation time series with ScanSAR Data. IEEE Trans Geosci Remote Sensing. 49(12):4788–4804. doi: 10.1109/TGRS.2011.2167979.
   Web of Science ®Google Scholar
• Rodriguez E, Martin JM. 1992. Theory and design of interferometric synthetic aperture radars. IEE Proc F Radar Signal Process UK. 139(2):147. doi: 10.1049/ip-f-2.1992.0018.
   Web of Science ®Google Scholar
• Rosen PA, Gurrola EM, Sacco GF, Zebker H. 2012. The InSAR scientific computing environment, in synthetic aperture radar. Paper presented at: 9th European Conference on EUSAR; Apl 23–26; Nuremberg, Germany.
   Google Scholar
• Samiei-Esfahany S, Martins JE, van Leijen F, Hanssen RF. 2016. Phase estimation for distributed scatterers in InSAR stacks using integer least squares estimation. IEEE Trans Geosci Remote Sensing. 54(10):5671–5687. doi: 10.1109/TGRS.2016.2566604.
   Web of Science ®Google Scholar
• Shankar H, Roy A, Chauhan P. 2021. Persistent scatterer interferometry for Pettimudi (India) landslide monitoring using Sentinel-1A images. Photogramm Eng Remote Sensing. 87(11):853–862. doi: 10.14358/PERS.21-00020R3.
   Web of Science ®Google Scholar
• Shankar H, Singh D, Chauhan P. 2022. Landslide deformation and temporal prediction of slope failure in Himalayan terrain using PSInSAR and Sentinel-1 data. Adv Space Res. 70(12):3917–3931. doi: 10.1016/j.asr.2022.04.062.
   Web of Science ®Google Scholar
• Taloor AK, Thapliyal A, Kimothi S, Kothyari GC, Gupta S. 2022. Geospatial technology-based monitoring of HAGL in the context of flash flood: a case study of Rishi Ganga Basin, India. Geosystems Geoenvironment. 1(3):100049. doi: 10.1016/j.geogeo.2022.100049.
   Google Scholar
• Tough RJA, Blacknell D, Quegan S. 1995. A statistical description of polarimetric and interferometric synthetic aperture radar data. Proc R Soc Lond Ser Math Phys Sci. 449:567–589. doi: 10.1098/rspa.1995.0059.
   Web of Science ®Google Scholar
• Yang F, An Y, Ren C, Xu J, Li J, Li D, Peng Z. 2023. Monitoring and analysis of surface deformation in alpine valley areas based on multidimensional InSAR technology. Sci Rep. 13(1):12896. doi: 10.1038/s41598-023-39677-3.
   PubMed Web of Science ®Google Scholar
• Yunjun Z, Fattahi H, Amelung F. 2019. Small baseline InSAR time series analysis: unwrapping error correction and noise reduction. Comput Geosci. 133:104331. doi: 10.1016/j.cageo.2019.104331.
   Web of Science ®Google Scholar
• Yunjun Z, Fattahi H, Pi X, Rosen P, Simons M, Agram P, Aoki Y. 2022. Range geolocation accuracy of C-/L-band SAR and its implications for operational stack coregistration. IEEE Trans Geosci Remote Sensing. 60:1–19. doi: 10.1109/TGRS.2022.3168509.
   Web of Science ®Google Scholar