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Data correction method of the persistent scatterer interferometric synthetic aperture radar technique in landslide surface monitoring

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Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Landslides generally cause more damage than first predicted. Currently, many methods are available for monitoring landslides occurrence. Conventional methods are mainly based on single-point monitoring, which omits the aspect of variation in large-scale landslides. Due to the development of radar satellites, the differential interferometric synthetic aperture radar technique has been widely used for landslide monitoring. In this study, an experimental region in the Wudongde Hydropower Station reservoir area was studied using archived spaceborne synthetic aperture radar (SAR) data collected over many years. As the permanent scatterer interferometric SAR (PS-InSAR) technique is an advanced technology, it could be suitably used to overcome the time discontinuity in long time series. However, the accuracy of date processing obtained using the PS-InSAR technique is lower than that obtained using the single-point monitoring method. The monitoring results of the PS-InSAR technique only demonstrate the moving trend of landslides and do not present the actual displacement. The Advanced Land Observation Satellite and a high-precision total station were used for long-term landslide monitoring of the Jinpingzi landslide at the Wudongde Hydropower Station reservoir area. Based on a relationship analysis between the data obtained using the PS-InSAR technique and the total station, a revised method was proposed to reduce the errors in the PS-InSAR monitoring results. The method can not only enhance the monitoring precision of the PS-InSAR technology but also achieve long-term monitoring of landslide displacement from a bird's-eye view.
Czasopismo
Rocznik
Tom
Strony
91--109
Opis fizyczny
Bibliogr. 22 poz., rys., tab.
Twórcy
autor
  • School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China
autor
  • School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China
autor
  • College of Civil Engineering and Mechanics, Yanshan University, Qinhuangdao 066004, China
Bibliografia
  • LIAO M.S., LIN H., 2003, Radar Interferometry: Principles and Signal Processing Basics, Surveying and Mapping Press, Beijing, China.
  • HANSSEN R.F., 2001, Radar interferometry: data interpretation and error analysis, Springer Science & Business Media, Berlin, Germany.
  • BIANCHINI S., CIGNA F., RIGHINI G. et al., 2012, Landslide HotSpot Mapping by means of Persistent Scatterer Interferometry [J], Environmental Earth Sciences, Vol. 67, No. 4, 1155–1172, DOI: 10.1007/ s12665-012-1559-5.
  • BIANCHINI S., HERRERA G., MATEOS R.M., et al., 2013, Landslide Activity Maps Generation by Means of Persistent Scatterer Interferometry [J], Remote Sensing, Vol. 5, No. 12, 6198–6222. DOI: 10.3390/rs5126198.
  • BOVENGA F., NUTRICATO R., REFICE A. et al., 2006, Application of multi-temporal differential interferometry to slope instability detection in urban/peri-urban areas [J], Engineering Geology, Vol. 88, No. 3, 218–239, DOI: 10.1016/j.enggeo.2006.09.015.
  • CALVELLO M., PEDUTO D., ARENA L., 2016, Combined use of statistical and D-InSAR data analyses to define the state of activity of slow-moving landslides [J], Landslides, Vol. 14, No. 2, 1–17, DOI: 10.1007/s10346-016-0722-6.
  • CATANI F., FARINA P., MORETTI S. et al., 2005, On the application of SAR interferometry to geomorphological studies: estimation of landform attributes and mass movements [J], Geomorphology, Vol. 66, No. 1–4, 119–131, DOI: 10.1016/j.geomorph.2004.08.012.
  • CRUDEN D.M., 1996, Landslides Types and Processes[J], Landslides. Investigation and Mitigation, 36–75.
  • FERRETTI A., PRATI C., ROCCA F., 2001, Permanent scatterers in SAR interferometry [J], IEEE Transactions on Geoscience & Remote Sensing, Vol. 39, No. 1, 8–20, DOI: 10.1109/36.898661.
  • FERRETTI A., PRATI C., ROCCA F., 2000, Analysis of permanent scatterers in SAR interferometry [C], Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International, IEEE, No. 2, 761–763, DOI: 10.1109/IGARSS.2000.861695.
  • HASTAOGLU K.O., 2016, Comparing the results of PSInSAR and GNSS on slow motion landslides, Koyulhisar, Turkey [J], Geomatics Natural Hazards & Risk, Vol. 7, No. 2, 786–803, DOI: 10.1080/ 19475705.2014.978822.
  • HE P., XU C.J., 2009, Research on effects of satellite orbit error on SAR interferometry [J], Journal of Geodesy and Geodynamics, Vol. 29, No. 5, 54–57, DOI: 10.3969/j.issn.1671-5942.2009.05.012 (in Chinese).
  • KONG J.M., 2004, The stage feature of landslide growth and observation [J], Journal of Mountain Science, No. 6, 725–729, DOI: 10.3969/j.issn.1008-2786.2004.06.015 (in Chinese).
  • LEI L., ZHOU Y., LI J. et al., 2012, Application of PS-InSAR to monitoring Berkeley landslides [J], Journal of Beijing University of Aeronautics and Astronautics, Vol. 38, No. 9, 1224–1226, DOI:10.13700/ j.bh.1001-5965.2012.09.005.
  • LI J.X., LI C.K., YIN Z.H., 2013, ArcGIS based kriging interpolation method and its application [J], Bulletin of Surveying and Mapping, No. 9, 87–90 (in Chinese).
  • LU P., CATANI F., TOFANI V. et al., 2014, Quantitative hazard and risk assessment for slow-moving landslides from Persistent Scatterer Interferometry [J], Landslides, Vol. 11, No. 4, 685–696, DOI: 10.1007/s10346-013-0432-2.
  • NIU W.J., ZHU D.P., CHEN Q.M., 2001, Improvement of Moving Neighborhood Kriging Method [J], Journal of Computer Aided Design and Computer Graphics, Vol. 13, No. 8, 752–756, DOI: 10.3321/ j.issn:1003-9775.2001.08.015 (in Chinese).
  • SINGHROY V., ALASSET P.J., COUTURE R. et al., 2007, InSAR monitoring of landslides on permafrost terrain in Canada [C], Geoscience and Remote Sensing Symposium, 2007, IGARSS 2007, IEEE International, 2451–2454, DOI: 10.1109/IGARSS.2007.4423338.
  • WANG G.J., XIE M.W., CHAI X.Q., et al., 2013, D-InSAR-based landslide location and monitoring at Wudongde hydropower reservoir in China [J], Environmental Earth Sciences, Vol. 69, No. 8, 2763–2777, DOI: 10.1007/s12665-012-2097-x.
  • WANG G.J., XIE M.W., QIU C. et al., 2011, Experiment research of D-InSAR technique on identifying landslide moving in a wide area [J], Journal of University of Science & Technology Beijing, Vol. 33, No. 2, 131–141, DOI: 10.13374/j. issn1001-053x.2011.02.021 (in Chinese).
  • XIE M.W., HUANG J.X., WANG L.W. et al., 2016, Early landslide detection based on D-InSAR technique at the Wudongde hydropower reservoir [J], Environmental Earth Sciences, Vol. 75, No. 8, 1–13, DOI: 10.1007/s12665-016-5446-3.
  • XU Q., 2012, Theoretical studies on prediction of landslides using slope deformation process data [J], Chinese Journal of Engineering Geology, Vol. 20, No. 2, 145–151, DOI: 10.3969/j.issn.1004-9665.2012.02.001 (in Chinese).
Uwagi
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Bibliografia
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