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Yer Yüzeyi Kararlılığının Radar Uydu Görüntüleriyle Gözlenmesi

Year 2020, Volume: 1 Issue: 1, 53 - 60, 31.03.2020

Abstract

Uzaktan algılama, yeryüzündeki objeler hakkında herhangi bir fiziksel temas olmaksızın bilgi elde etme sanatıdır. Uzaktan algılamanın birçok sivil ve resmi uygulama alanları vardır. Interferometrik Sentetik Açıklıklı Radar tekniği (InSAR) yer yüzeyi deformasyonlarının ölçülmesi amacıyla yer bilimleri ve uzaktan algılama alanlarında kullanılmaktadır. Özellikle, Sabit saçıcılar (Persistent Scatterers Interferometry: PSI) interferometri tekniği ise, yer yüzeyindeki deformasyonları zamansal bazda ölçme yeteneğine sahiptir. Bu teknik, çok zamanlı radar görüntülerinden yer yüzeyine ilişkin deformasyon oranlarının zamansal karakteristiklerinin belirlenmesi amacıyla geliştirilmiştir. Bu makalede, InSAR ve PSI teknikleri açıklanmakta ve en son geliştirilen/kullanılan tekniklerin kullanılabilirliği analiz edilmektedir. Makale kapsamında, Mexico-City’ye ilişkin örnek bir çalışma incelenmiştir.

References

  • Berardino, P., Fornaro, G., Lanari, R., & Sansosti, E. (2002). A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms. IEEE Transactions on geoscience and remote sensing, 40(11), 2375-2383.
  • Colesanti, C., & Wasowski, J. (2006). Investigating landslides with space-borne Synthetic Aperture Radar (SAR) interferometry. Engineering geology, 88(3-4), 173-199.
  • Crosetto, M., Biescas, E., Duro, J., Closa, J., & Arnaud, A. (2008). Generation of advanced ERS and Envisat interferometric SAR products using the stable point network technique. Photogrammetric Engineering & Remote Sensing, 74(4), 443-450.
  • Crosetto, M., Crippa, B., & Biescas, E. (2005). Early detection and in-depth analysis of deformation phenomena by radar interferometry. Engineering Geology, 79(1-2), 81-91.
  • Dixon, T. H., Amelung, F., Ferretti, A., Novali, F., Rocca, F., Dokka, R., ... & Whitman, D. (2006). Subsidence and flooding in New Orleans. Nature, 441(7093), 587-588.
  • Ferretti, A., Fumagalli, A., Novali, F., Prati, C., Rocca, F., & Rucci, A. (2011). A new algorithm for processing interferometric data-stacks: SqueeSAR. IEEE transactions on geoscience and remote sensing, 49(9), 3460-3470.
  • Ferretti, A., Prati, C., & Rocca, F. (1999). Multibaseline InSAR DEM reconstruction: The wavelet approach. IEEE Transactions on geoscience and remote sensing, 37(2), 705-715.
  • Ferretti, A., Prati, C., & Rocca, F. (2000). Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry. IEEE Transactions on geoscience and remote sensing, 38(5), 2202-2212.
  • Ferretti, A., Prati, C., & Rocca, F. (1999). Non-uniform motion monitoring using the permanent scatterers technique. In: Second International Workshop on ERS SAR Interferometry, ’FRINGE99 conference’, pp. 1-6, Liege, Belgium.
  • Ferretti, A., Prati, C., & Rocca, F. (2001). Permanent scatterers in SAR interferometry. IEEE Transactions on geoscience and remote sensing, 39(1), 8-20.
  • Hanssen, R., Chang, L. & Dollevoet, RPBJ. (2015, November). Automatic Railway Instability Detection Using Satellite SAR Interferometry, MUAS-2015, ESA Frascati.
  • Hanssen, R. F., & van Leijen, F. J. (2008, May). Monitoring water defense structures using radar interferometry. In 2008 IEEE Radar Conference (pp. 1-4). IEEE.
  • 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. Geophysical research letters, 31(23), 1-5. doi: 10.1029/2004GL021737
  • Kampes, B. (2005). Displacement parameter estimation using permanent scatterer interferometry. (Doctoral dissertation), Technische Universiteit Delft, Holland.
  • Kimura, H., & Yamaguchi, Y. (2000). Detection of landslide areas using satellite radar interferometry. Photogrammetric engineering and remote sensing, 66(3), 337-344.
  • Lanari, R., Mora, O., Manunta, M., Mallorquí, J. J., Berardino, P., & Sansosti, E. (2004). A small-baseline approach for investigating deformations on full-resolution differential SAR interferograms. IEEE Transactions on Geoscience and Remote Sensing, 42(7), 1377-1386.
  • Lazecky, M., Hlavacova, I., Bakon, M., Sousa, J. J., Perissin, D., & Patricio, G. (2016). Bridge displacements monitoring using space-borne X-band SAR interferometry. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(1), 205-210.
  • Lyons, S., & Sandwell, D. (2003). Fault creep along the southern San Andreas from interferometric synthetic aperture radar, permanent scatterers, and stacking. Journal of Geophysical Research: Solid Earth, 108(B1). doi: 10.1029/2002JB001831
  • Mora, O., Mallorqui, J. J., & Broquetas, A. (2003). Linear and nonlinear terrain deformation maps from a reduced set of interferometric SAR images. IEEE Transactions on Geoscience and Remote Sensing, 41(10), 2243-2253.
  • Navarro-Sanchez, V. D., & Lopez-Sanchez, J. M. (2013). Spatial adaptive speckle filtering driven by temporal polarimetric statistics and its application to PSI. IEEE transactions on geoscience and remote sensing, 52(8), 4548-4557.
  • Osmanoğlu, B., Dixon, T. H., Wdowinski, S., Cabral-Cano, E., & Jiang, Y. (2011). Mexico City subsidence observed with persistent scatterer InSAR. International Journal of Applied Earth Observation and Geoinformation, 13(1), 1-12.
  • Pepe, A., Berardino, P., Bonano, M., Euillades, L. D., Lanari, R., & Sansosti, E. (2011). SBAS-based satellite orbit correction for the generation of DInSAR time-series: Application to RADARSAT-1 data. IEEE transactions on geoscience and remote sensing, 49(12), 5150-5165.
  • Pepe, A., Manunta, M., Mazzarella, G., & Lanari, R. (2007, July). A space-time minimum cost flow phase unwrapping algorithm for the generation of persistent scatterers deformation time-series. In 2007 IEEE International Geoscience and Remote Sensing Symposium (pp. 5285-5288). IEEE.
  • Pepe, A., Sansosti, E., Berardino, P., & Lanari, R. (2005). On the generation of ERS/ENVISAT DInSAR time-series via the SBAS technique. IEEE Geoscience and Remote Sensing Letters, 2(3), 265-269.
  • Poreh, D., Iodice, A., Riccio, D., & Ruello, G. (2016). Railways' stability observed in Campania (Italy) by InSAR data. European Journal of Remote Sensing, 49(1), 417-431.
  • Poreh, D., & Pirasteh, S. (2019). InSAR and Landsat ETM+ incorporating with CGPS and SVM to Determine Subsidence Rates and Effects on Mexico City. Preprints 2019, 2019090082, doi: 10.20944/preprints 201909.0082.v1.
  • The Geodesy Lab, http://geodesy.fiu.edu/MexSubsidence/index.html
  • Usai, S., & Hanssen, R. (1997). Long time scale INSAR by means of high coherence features. European Space Agency-Publications-Esa Sp, 414, 225-228.
  • Werner, C., Wegmuller, U., Strozzi, T., & Wiesmann, A. (2003, July). Interferometric point target analysis for deformation mapping. In IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No. 03CH37477) (Vol. 7, pp. 4362-4364). IEEE.
  • Zerbini, S., Richter, B., Rocca, F., van Dam, T., & Matonti, F. (2007). A combination of space and terrestrial geodetic techniques to monitor land subsidence: case study, the Southeastern Po Plain, Italy. Journal of Geophysical Research: Solid Earth, 112(B5).

The Earth Surface Stability Observation by Satellite Radar Images

Year 2020, Volume: 1 Issue: 1, 53 - 60, 31.03.2020

Abstract

Remote sensing is the art of acquisition of information about any objects (such as the Earth) without making any physical/close contact. Remote sensing has many vital civilian and none-civilian applications. Interferometric Synthetic Aperture Radar (InSAR) is a radar technique used in geoscience and remote sensing to measure the Earth surface deformation from 800 km above the Earth. In particular, Permanent/persistent/point-like Scatterer Interferometry (PSI) is a powerful remote sensing technique, which is able to measure the deformation on the Earth’s surface over temporal baselines. This technique was developed to estimate the temporal characteristics of the Earth’s deformation rates from multiple radar images acquired over time (series). This paper reviews InSAR and PSI techniques, and explains the current state of the art and potentials of the available radar remote sensing techniques. One case study is examined, pertaining to well-known deformation problem in the Mexico City area.

References

  • Berardino, P., Fornaro, G., Lanari, R., & Sansosti, E. (2002). A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms. IEEE Transactions on geoscience and remote sensing, 40(11), 2375-2383.
  • Colesanti, C., & Wasowski, J. (2006). Investigating landslides with space-borne Synthetic Aperture Radar (SAR) interferometry. Engineering geology, 88(3-4), 173-199.
  • Crosetto, M., Biescas, E., Duro, J., Closa, J., & Arnaud, A. (2008). Generation of advanced ERS and Envisat interferometric SAR products using the stable point network technique. Photogrammetric Engineering & Remote Sensing, 74(4), 443-450.
  • Crosetto, M., Crippa, B., & Biescas, E. (2005). Early detection and in-depth analysis of deformation phenomena by radar interferometry. Engineering Geology, 79(1-2), 81-91.
  • Dixon, T. H., Amelung, F., Ferretti, A., Novali, F., Rocca, F., Dokka, R., ... & Whitman, D. (2006). Subsidence and flooding in New Orleans. Nature, 441(7093), 587-588.
  • Ferretti, A., Fumagalli, A., Novali, F., Prati, C., Rocca, F., & Rucci, A. (2011). A new algorithm for processing interferometric data-stacks: SqueeSAR. IEEE transactions on geoscience and remote sensing, 49(9), 3460-3470.
  • Ferretti, A., Prati, C., & Rocca, F. (1999). Multibaseline InSAR DEM reconstruction: The wavelet approach. IEEE Transactions on geoscience and remote sensing, 37(2), 705-715.
  • Ferretti, A., Prati, C., & Rocca, F. (2000). Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry. IEEE Transactions on geoscience and remote sensing, 38(5), 2202-2212.
  • Ferretti, A., Prati, C., & Rocca, F. (1999). Non-uniform motion monitoring using the permanent scatterers technique. In: Second International Workshop on ERS SAR Interferometry, ’FRINGE99 conference’, pp. 1-6, Liege, Belgium.
  • Ferretti, A., Prati, C., & Rocca, F. (2001). Permanent scatterers in SAR interferometry. IEEE Transactions on geoscience and remote sensing, 39(1), 8-20.
  • Hanssen, R., Chang, L. & Dollevoet, RPBJ. (2015, November). Automatic Railway Instability Detection Using Satellite SAR Interferometry, MUAS-2015, ESA Frascati.
  • Hanssen, R. F., & van Leijen, F. J. (2008, May). Monitoring water defense structures using radar interferometry. In 2008 IEEE Radar Conference (pp. 1-4). IEEE.
  • 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. Geophysical research letters, 31(23), 1-5. doi: 10.1029/2004GL021737
  • Kampes, B. (2005). Displacement parameter estimation using permanent scatterer interferometry. (Doctoral dissertation), Technische Universiteit Delft, Holland.
  • Kimura, H., & Yamaguchi, Y. (2000). Detection of landslide areas using satellite radar interferometry. Photogrammetric engineering and remote sensing, 66(3), 337-344.
  • Lanari, R., Mora, O., Manunta, M., Mallorquí, J. J., Berardino, P., & Sansosti, E. (2004). A small-baseline approach for investigating deformations on full-resolution differential SAR interferograms. IEEE Transactions on Geoscience and Remote Sensing, 42(7), 1377-1386.
  • Lazecky, M., Hlavacova, I., Bakon, M., Sousa, J. J., Perissin, D., & Patricio, G. (2016). Bridge displacements monitoring using space-borne X-band SAR interferometry. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(1), 205-210.
  • Lyons, S., & Sandwell, D. (2003). Fault creep along the southern San Andreas from interferometric synthetic aperture radar, permanent scatterers, and stacking. Journal of Geophysical Research: Solid Earth, 108(B1). doi: 10.1029/2002JB001831
  • Mora, O., Mallorqui, J. J., & Broquetas, A. (2003). Linear and nonlinear terrain deformation maps from a reduced set of interferometric SAR images. IEEE Transactions on Geoscience and Remote Sensing, 41(10), 2243-2253.
  • Navarro-Sanchez, V. D., & Lopez-Sanchez, J. M. (2013). Spatial adaptive speckle filtering driven by temporal polarimetric statistics and its application to PSI. IEEE transactions on geoscience and remote sensing, 52(8), 4548-4557.
  • Osmanoğlu, B., Dixon, T. H., Wdowinski, S., Cabral-Cano, E., & Jiang, Y. (2011). Mexico City subsidence observed with persistent scatterer InSAR. International Journal of Applied Earth Observation and Geoinformation, 13(1), 1-12.
  • Pepe, A., Berardino, P., Bonano, M., Euillades, L. D., Lanari, R., & Sansosti, E. (2011). SBAS-based satellite orbit correction for the generation of DInSAR time-series: Application to RADARSAT-1 data. IEEE transactions on geoscience and remote sensing, 49(12), 5150-5165.
  • Pepe, A., Manunta, M., Mazzarella, G., & Lanari, R. (2007, July). A space-time minimum cost flow phase unwrapping algorithm for the generation of persistent scatterers deformation time-series. In 2007 IEEE International Geoscience and Remote Sensing Symposium (pp. 5285-5288). IEEE.
  • Pepe, A., Sansosti, E., Berardino, P., & Lanari, R. (2005). On the generation of ERS/ENVISAT DInSAR time-series via the SBAS technique. IEEE Geoscience and Remote Sensing Letters, 2(3), 265-269.
  • Poreh, D., Iodice, A., Riccio, D., & Ruello, G. (2016). Railways' stability observed in Campania (Italy) by InSAR data. European Journal of Remote Sensing, 49(1), 417-431.
  • Poreh, D., & Pirasteh, S. (2019). InSAR and Landsat ETM+ incorporating with CGPS and SVM to Determine Subsidence Rates and Effects on Mexico City. Preprints 2019, 2019090082, doi: 10.20944/preprints 201909.0082.v1.
  • The Geodesy Lab, http://geodesy.fiu.edu/MexSubsidence/index.html
  • Usai, S., & Hanssen, R. (1997). Long time scale INSAR by means of high coherence features. European Space Agency-Publications-Esa Sp, 414, 225-228.
  • Werner, C., Wegmuller, U., Strozzi, T., & Wiesmann, A. (2003, July). Interferometric point target analysis for deformation mapping. In IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No. 03CH37477) (Vol. 7, pp. 4362-4364). IEEE.
  • Zerbini, S., Richter, B., Rocca, F., van Dam, T., & Matonti, F. (2007). A combination of space and terrestrial geodetic techniques to monitor land subsidence: case study, the Southeastern Po Plain, Italy. Journal of Geophysical Research: Solid Earth, 112(B5).
There are 30 citations in total.

Details

Primary Language English
Subjects Photogrammetry and Remote Sensing
Journal Section Research Articles
Authors

Dave Poreh 0000-0002-6089-5921

Publication Date March 31, 2020
Submission Date January 7, 2020
Acceptance Date March 18, 2020
Published in Issue Year 2020 Volume: 1 Issue: 1

Cite

APA Poreh, D. (2020). The Earth Surface Stability Observation by Satellite Radar Images. Türk Uzaktan Algılama Ve CBS Dergisi, 1(1), 53-60.