849
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Creep identification by the baseline optimized TS-InSAR technique considering the monthly variation in coherence

ORCID Icon, ORCID Icon, ORCID Icon &
Article: 2159071 | Received 03 Oct 2022, Accepted 09 Dec 2022, Published online: 19 Dec 2022

References

  • Ansari H, De Zan F, Bamler R. 2018. Efficient phase estimation for interferogram stacks. IEEE Trans Geosci Remote Sens. 56(7):4109–4125. 10.1109/tgrs.2018.2826045.
  • Ansari H, De Zan F, Parizzi A. 2021. Study of systematic bias in measuring surface deformation with SAR interferometry. IEEE Trans Geosci Remote Sens. 59(2):1285–1301. 10.1109/tgrs.2020.3003421.
  • Baran I, Stewart M, Claessens S. 2005. A new functional model for determining minimum and maximum detectable deformation gradient resolved by satellite radar interferometry. IEEE Trans Geosci Remote Sens. 43(4):675–682. 10.1109/tgrs.2004.843187.
  • Bekaert DP, Karim M, Linick JP, Hua H, Sangha S, Lucas M, Malarout N, Agram PS, Pan L, Owen SE. 2019. Development of open-access standardized InSAR displacement products by the advanced rapid imaging and analysis (ARIA) project for natural hazards. In AGU Fall Meeting Abstracts. Vol. 2019, pp. G23A–04.
  • Braun A. 2021. Retrieval of digital elevation models from Sentinel-1 radar data – open applications, techniques, and limitations. Open Geosci. 13(1):532–569. 10.1515/geo-2020-0246.
  • Cigna F, Tapete D. 2021. Present-day land subsidence rates, surface faulting hazard and risk in Mexico City with 2014–2020 Sentinel-1 IW InSAR. Remote Sens Environ. 253: 112161. 10.1016/j.rse.2020.
  • Crosta GB, Frattini P, Agliardi F. 2013. Deep seated gravitational slope deformations in the European Alps. Tectonophysics. 605:13–33. 10.1016/j.tecto.2013.04.028.
  • Doin MP, Lasserre C, Peltzer G, Cavalie O, Doubre C. 2009. Corrections of stratified tropospheric delays in SAR interferometry: validation with global atmospheric models. J Appl Geophys. 69(1):35–50. 10.1016/j.jappgeo.2009.03.010.
  • Du J-C, Teng H-C. 2007. 3D laser scanning and GPS technology for landslide earthwork volume estimation. Autom Constr. 16(5):657–663. 10.1016/j.autcon.2006.11.002.
  • 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., 10.1002/2015jb012419.
  • He YP, Xie H, Cui P, Wei FQ, Zhong DL, Gardner JS. 2003. GIS-based hazard mapping and zonation of debris flows in Xiaojiang Basin, southwestern China. Environ Geol. 45(2):286–293. 10.1007/s00254-003-0884-0.
  • Howard HR, Manandhar S, Wang Q, McMillan JM, Qie G, Liu X, Thapa K, Xu X, Wang G. 2022. Spatially characterizing land surface deformation and permafrost active layer thickness for Donnelly installation of Alaska using DInSAR and MODIS data. Cold Reg Sci Technol. 196:103510. 10.1016/j.coldregions.2022.103510.
  • Kang Y, Lu Z, Zhao C, Xu Y, Kim J-w, Gallegos AJ. 2021. InSAR monitoring of creeping landslides in mountainous regions: a case study in Eldorado National Forest, California. Remote Sens Environ. 258:112400. 10.1016/j.rse.2021.112400.
  • Kang Y, Lu Z, Zhao C, Zhang Q, Kim J-W, Niu Y. 2019. Diagnosis of Xinmo (China) landslide based on interferometric synthetic aperture radar observation and modeling. Remote Sens. 11(16):1846. 10.3390/rs11161846.
  • Kang Y, Zhao C, Zhang Q, Lu Z, Li B. 2017. Application of InSAR techniques to an analysis of the Guanling landslide. Remote Sens. 9(10):1046. 10.3390/rs9101046.
  • Kennedy J, Anderson R, Biessel R, Chase T, Ellis O, Fairbanks K, Fleming C, Horn W, Johnston A, Kristenson H. 2021. Skip the processing: on demand analysis-ready InSAR from ASF. AGU Fall Meeting Abstracts (Vol. 2021, p. G45B-0395).
  • Lanari R, Mora O, Manunta M, Mallorqui JJ, Berardino P, Sansosti E. 2004. A small-baseline approach for investigating deformations on full-resolution differential SAR interferograms. IEEE Trans Geosci Remote Sens. 42(7):1377–1386. 10.1109/tgrs.2004.828196.
  • Lauknes TR, Zebker HA, Larsen Y. 2011. InSAR deformation time series using an L-1-norm small-baseline approach. IEEE Trans Geosci Remote Sens. 49(1):536–546. 10.1109/tgrs.2010.2051951.
  • Lazecky M, Spaans K, Gonzalez PJ, Maghsoudi Y, Morishita Y, Albino F, Elliott J, Greenall N, Hatton E, Hooper A, et al. 2020. LiCSAR: an automatic InSAR tool for measuring and monitoring tectonic and volcanic activity. Remote Sens. 12(15):2430. 10.3390/rs12152430.
  • Li H, Hao W, Pan Y, Yang J, Xiao Y, Xie S. 2014. Composition and structure of geological prospecting in river deep overburden layers at dam site of Wudongde Hydropower Station. J. Eng. Geol. 22(5):944–950.
  • Liu XL, Zhang D. 2004. Comparison of two empirical models for gully-specific debris flow hazard assessment in Xiaojiang valley of southwestern China. Nat Hazards. 31(1):157–175. 10.1023/B:NHAZ.0000020274.54664.a0.
  • Lopez-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. 10.1016/j.jappgeo.2009.02.006.
  • Manconi A, Kourkouli P, Caduff R, Strozzi T, Loew S. 2018. Monitoring surface deformation over a failing rock slope with the ESA sentinels: insights from Moosfluh instability, Swiss Alps. Remote Sen. 10(5):672. 10.3390/rs10050672.
  • Mengyao GAO, Caijun XU, Yang LIU. 2021. Evaluation of time‑series InSAR tropospheric delay correction methods over north‑western margin of the Qinghai‑Tibet Plateau. Geomat Inf Sci Wuhan Univ. 46(10):1548–1559.
  • Mohammadimanesh F, Salehi B, Mahdianpari M, English J, Chamberland J, Alasset P-J. 2019. Monitoring surface changes in discontinuous permafrost terrain using small baseline SAR interferometry, object-based classification, and geological features: a case study from Mayo, Yukon Territory, Canada. GIscience Remote Sens. 56(4):485–510. 10.1080/15481603.2018.1513444.
  • Moretto S, Bozzano F, Esposito C, Mazzanti P, Rocca AJG. 2017. Assessment of landslide pre-failure monitoring and forecasting using satellite SAR interferometry. Geosciences. 7(2):36.
  • Morishita Y, Lazecky M, Wright TJ, Weiss JR, Elliott JR, Hooper A. 2020. LiCSBAS: an open-source InSAR time series analysis package integrated with the LiCSAR automated sentinel-1 InSAR processor. Remote Sens. 12(3):424. 10.3390/rs12030424.
  • Murray KD, Bekaert DPS, Lohman RB. 2019. Tropospheric corrections for InSAR: statistical assessments and applications to the Central United States and Mexico. Remote Sens Environ. 232:111326. 10.1016/j.rse.2019.111326.
  • Nichol J, Wong MS. 2005. Detection and interpretation of landslides using satellite images. Land Degrad Dev. 16(3):243–255. 10.1002/ldr.648.
  • Prats-Iraola P, Rodriguez-Cassola M, De Zan F, Scheiber R, Lopez-Dekker P, Barat I, Geudtner D. 2015. Role of the orbital tube in interferometric spaceborne SAR missions. IEEE Geosci Remote Sensing Lett. 12(7):1486–1490. 10.1109/lgrs.2015.2409885.
  • Ren K, Yao X, Li R, Zhou Z, Yao C, Jiang S. 2022. 3D displacement and deformation mechanism of deep-seated gravitational slope deformation revealed by InSAR: a case study in Wudongde Reservoir, Jinsha River. Landslides. 19(9):2159–2175. 10.1007/s10346-022-01905-8.
  • Santoro M, Wegmuller U, Askne JIH. 2010. Signatures of ERS-envisat interferometric SAR coherence and phase of short vegetation: an analysis in the case of maize fields. IEEE Trans Geosci Remote Sens. 48(4):1702–1713., 10.1109/tgrs.2009.2034257.
  • Smittarello D, d’Oreye N, Jaspard M, Derauw D, Samsonov S. 2022. Pair selection optimization for InSAR time series processing. J Geophys Res: Solid Earth. 127 e2021JB022825
  • Sui L, Wang X, Zhao D. 2008. Application of 3D laser scanner for monitoring of landslide hazards. Int Arch Photogramm Remote Sens Spat Inf Sci. 37(PART B1).
  • Sun N, Wang Y. 2018. Analysis of land subsidence monitoring in a mining area with time series InSAR technology, Proceedings ISPRS Symposium. Int Arch Photogramm Remote Sens Spatial Inf Sci. XLII-3:1589–1595.
  • Tough J, Blacknell D, Quegan SJP. 1995. A statistical description of polarimetric and interferometric synthetic aperture radar data. Proc R Soc Lond, A: Math Phys Sci. 449: 567–589.
  • Wang ZH, Guo DH, Zheng XW, Wang JC, Guo ZC, Dong LN. 2011. Remote sensing interpretation on June 28, 2010 Guanling landslide, Guizhou Province, China. Geosci. Front. 18:310–316.
  • Wang G, Xie M, Chai X, Wang L, Dong C. 2013. D-InSAR-based landslide location and monitoring at Wudongde hydropower reservoir in China. Environ Earth Sci. 69(8):2763–2777. 10.1007/s12665-012-2097-x.
  • Wang S, Zhang G, Chen Z, Cui H, Zheng Y, Xu Z, Li Q. 2022. Surface deformation extraction from small baseline subset synthetic aperture radar interferometry (SBAS-InSAR) using coherence-optimized baseline combinations. GIscience Remote Sens. 59(1):295–309. 10.1080/15481603.2022.2026639.
  • Xie M, Huang J, Wang L, Huang J, Wang Z. 2016. Early landslide detection based on D-InSAR technique at the Wudongde hydropower reservoir. Environ Earth Sci. 75(8):1–13. 10.1007/s12665-016-5446-3.
  • Xu Q, Guo C, Dong X, Li W, Lu H, Fu H, Liu X. 2021a. Mapping and characterizing displacements of landslides with InSAR and airborne LiDAR technologies: a case study of Danba County, Southwest China. Remote Sens. 13(21):4234. 10.3390/rs13214234.
  • Xu Y, Schulz WH, Lu Z, Kim J, Baxstrom K. 2022. Geologic controls of slow-moving landslides near the US West Coast (vol 18, pg 3353, 2021). Landslides. 19(2):537–537. 10.1007/s10346-021-01801-7.
  • Yunjun Z, Fattahi H, Amelung F., 2019. Small baseline InSAR time series analysis: unwrapping error correction and noise reduction. Comput Geosci. 133:104331.
  • Zhang W, Li H-Z, Chen J-p, Zhang C, Xu L-m, Sang W-f 2011. Comprehensive hazard assessment and protection of debris flows along Jinsha River close to the Wudongde dam site in China. Nat Hazards. 58(1):459–477. 10.1007/s11069-010-9680-9.
  • Zhang Y, Meng XM, Dijkstra TA, Jordan CJ, Chen G, Zeng RQ, Novellino A. 2020. Forecasting the magnitude of potential landslides based on InSAR techniques. Remote Sens Environ. 241:111738. 10.1016/j.rse.2020.111738.
  • Zhang QY, Xiang W, Li XJ. 2007. Application of nondestructive detecting technology for geological radar in a large-scale highway lanslide treatment. KEM. 353-358:2309–2312.
  • Zhang W. 2013, June 1. Research of evaluation methods for rock mass structures in the Wudongde Hydropower Reservoir Region [Ph.D. thesis]. Changchun, China: Jilin University.
  • Zhao C, Kang Y, Zhang Q, Lu Z, Li B. 2018. Landslide identification and monitoring along the Jinsha River catchment (Wudongde Reservoir Area), China, using the InSAR method. Remote Sens. 10(7):993. 10.3390/rs10070993.
  • Zhao C, Lu Z, Zhang Q, de la Fuente J. 2012. Large-area landslide detection and monitoring with ALOS/PALSAR imagery data over Northern California and Southern Oregon, USA. Remote Sens Environ. 124:348–359. 10.1016/j.rse.2012.05.025.
  • Zhu Y, Qiu H, Yang D, Liu Z, Ma S, Pei Y, He J, Du C, Sun H. 2021. Pre- and post-failure spatiotemporal evolution of loess landslides: a case study of the Jiangou landslide in Ledu, China. Landslides. 18(10):3475–3484. 10.1007/s10346-021-01714-5.