利用ALOS衛星時序影像測量越南胡志明市的地層下陷

以作者查詢圖書館館藏

、以作者查詢臺灣博碩士

、以作者查詢全國書目

、勘誤回報

、線上人數：145

、訪客IP：3.138.174.174

姓名

阮氏春(Xuan Thi Nguyen) 查詢紙本館藏

畢業系所

遙測科技碩士學位學程

論文名稱

利用ALOS衛星時序影像測量越南胡志明市的地層下陷
(Land Subsidence in Ho Chi Minh city, Vietnam Detected by ALOS InSAR Time-series)

相關論文

★ 應用Landsat MSS/TM & ETM 影像偵測湄公河的變遷	★ 應用雷達干涉法在彰化縣員林地區地層下陷研究
★ 合成孔徑雷達影像之地形線形特徵萃取	★ 應用太空大地測量法探討台南地區之地表變形
★ 應用地形分析方法研究台灣中央山脈東翼地表抬升	★ 利用衛星影像萃取近岸地形-以台灣北部為例
★ 台灣西南部前陸地區演育與古應力分析	★ 桃園臺地群地表變形與地下構造之研究
★ 應用永久散射體差分干涉法觀測台灣北部地區之地表變形	★ 台灣東部縱谷南端之活動構造研究
★ Seismic hazard assessment in Taiwan: Insights from historical seismicity and radar interferometry analyses	★ 應用ASTER影像於南蒙古戈壁沙漠區之地表礦物辨識
★ 台北盆地及周圍山區之現今地表變形研究	★ 利用永久性散射體差分干涉法探討台南地區之地殼形變
★ 臺灣南部橫貫公路向陽－初來段之構造與邊坡穩定	★ 莫拉克風災山崩區域之地質構造與大地應力分析

檔案

[Endnote RIS 格式]

[Bibtex 格式]

[相關文章]

[文章引用]

[完整記錄]

[館藏目錄]

[檢視]

[下載]

本電子論文使用權限為同意立即開放。
已達開放權限電子全文僅授權使用者為學術研究之目的，進行個人非營利性質之檢索、閱讀、列印。
請遵守中華民國著作權法之相關規定，切勿任意重製、散佈、改作、轉貼、播送，以免觸法。

摘要(中)

地層下陷最常發生在市區，而此災害可能導致建築物破裂或河水氾濫甚至改變河流的河道。儘管有精確的資訊顯示地層下陷的重要性，然而傳統的井下地層下陷監測技術，除了技術上較昂貴，也耗費人力與資源，更缺乏大範圍全面性的地層下陷資訊。近年來，SAR衛星影像干涉技術已經廣泛應用於監測地表變形，尤其是基於多時序的影像數據分析方法，在本研究中，我們使用ALOS衛星影像(L波段)多時序分析法，共18幅衛星影像來監測越南胡志明市於2006年12月至2010年12月期間之地層下陷的情形，因此我們應用時序影像持續監測與測量越南胡志明市的下陷情形。假設測量的結果主要是對應於垂直分量的下陷量，我們發現下陷區域沿著西貢河與市中心的南部最為顯著。最大下陷速率可達-66毫米/年。總而言之，雷達差分干涉技術的結果比對水準資料可得到相當高的一致性。

摘要(英)

Land subsidence has become the most common hazard in urban area that could lead to cracking buildings and infrastructures, extending the flooding area or even change the river path. Despite deriving precise information, conventional subsidence monitoring techniques are considered as costly, man-power consuming and lack of comprehensive information. Recently, Interferometric synthetic aperture radar (InSAR) has become a widely used geodetic technique for monitoring the deformation of the Earth’s surface, especially methods based on the use of a multi-temporal dataset. In this study, we used a stack of 18 SAR images acquired from L-band PALSAR sensor on board the ALOS satellite to derive the subsidence information of Ho Chi Minh City, Vietnam over the period of December 2006 to December 2010. The Stanford Method for Persistent Scatterers (StaMPS) Multi-Temporal Interferometry (MTI) approach is chosen to take advantages of both the persistent scatterers and the distributed scatterers, which could be used as monitoring points to measure the subsidence process. Assume the subsidence in this area mostly corresponds to vertical components, we found subsidence patterns along Saigon River and in the South of the city. Maximum subsidence rate reaches up to -66 mm/year in vertical direction. Finally, InSAR derived result and previous levelling data are taken into comparison to find the correlation between the two results.

關鍵字(中)

★ 地表變形
★ 越南胡志明市
★ 雷達干涉

關鍵字(英)

★ surface deformation
★ Ho Chi Minh city
★ radar interferometry

論文目次

Abstract ii
Acknowledgment iv
Chapter 1: Introduction 1
Chapter 2: Basics of Radar Remote Sensing 4
2.1 Basics of Synthetic Aperture Radar 4
2.1.1. SAR data acquisition 5
2.1.2. SAR Sensors 6
2.1.3. Signal Properties 7
2.1.3.1. Properties of image amplitude 7
2.1.3.2. Properties of image phase 8
2.2. Basics of InSAR 9
2.2.1. Principle of InSAR 9
2.2.2. Repeat-track Interferometry 11
2.2.3. Applications of InSAR 11
2.2.3.1. DEM generation 11
2.2.3.2. Crustal deformation mapping 13
2.2.3.3. Landscape characterization mapping 14
2.2.4. Limitations of InSAR 14
Chapter 3: Study area 23
3.1. Ho Chi Minh City 23
3.2. Data 23
3.2.1. DEM 24
3.2.2. ALOS PALSAR 24
Chapter 4: Methodology 31
4.1. PSInSAR 31
4.1.1. General Concept 31
4.1.2. PSInSAR processing 32
4.2. SBAS 36
4.2.1. SBAS processing 37
Chapter 5: Result and discussion 43
5.1. Land subsidence analysis in Ho Chi Minh City 43
5.2. Comparison of results between PSI and SBAS approaches 47
5.3. Urban flooding interpretation 49
Chapter 6: Conclusions 60
References 61

參考文獻

Bamler, R. (2000). Principles Of Synthetic Aperture Radar. Surveys in Geophysics, 21(2), 147-157. doi: 10.1023/a:1006790026612
Bamler, R., Eineder, M., Kampes, B., & Adam, N. (2003). SRTM and beyond: current situation and new developments in spaceborne InSAR. Paper presented at the ISPRS Joint Workshop, Hannover 2003. http://www.ipi.uni-hannover.de/html/publikationen/2003/workshop/bamler.pdf
Bamler, R., & Hartl, P. (1998). Synthetic aperture radar interferometry. Inverse Problems, 14(4), R1-R54. doi: Doi 10.1088/0266-5611/14/4/001
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. doi: 10.1109/Tgrs.2002.803792
Burgmann, R., Rosen, P. A., & Fielding, E. J. (2000). Synthetic aperture radar interferometry to measure Earth′s surface topography and its deformation. Annual Review of Earth and Planetary Sciences, 28, 169-209. doi: DOI 10.1146/annurev.earth.28.1.169
Chang, C. P., Yen, J. Y., Hooper, A., Chou, F. M., Chen, Y. A., Hou, C. S., . . . Lin, M. S. (2010). Monitoring of Surface Deformation in Northern Taiwan Using DInSAR and PSInSAR Techniques. Terrestrial Atmospheric and Oceanic Sciences, 21(3), 447-461. doi: 10.3319/Tao.2009.11.20.01(Th)
Colesanti, C., Ferretti, A., Novali, F., Prati, C., & Rocca, F. (2003). SAR monitoring of progressive and seasonal ground deformation using the permanent scatterers technique. IEEE Transactions on Geoscience and Remote Sensing, 41(7), 1685-1701. doi: 10.1109/Tgrs.2003.813278
Cumming, I. G., & Frank, H. W. (2005). Digital Processing of Synthetic Aperture Radar Data: Algorithms and Implementation: Artech House.
Curlander, J. C., & McDonough, R. N. (1991). Synthetic Aperture Radar: Systems and Signal Processing: WILEY.
Ferretti, A., Monti-Guarnieri, A., Prati, C., Rocca, F., & Massonet, D. (2007). InSAR Principles-Guidelines for SAR Interferometry Processing and Interpretation. ESA Training Manual, 19.
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. doi: Doi 10.1109/36.868878
Ferretti, A., Prati, C., & Rocca, F. (2001). Permanent scatterers in SAR interferometry. IEEE Transactions on Geoscience and Remote Sensing, 39(1), 8-20. doi: Doi 10.1109/36.898661
Gale, J., Hendriks, C., Turkenberg, W., Ferretti, A., Tamburini, A., Novali, F., . . . Rucci, A. (2011). 10th International Conference on Greenhouse Gas Control TechnologiesImpact of high resolution radar imagery on reservoir monitoring. Energy Procedia, 4, 3465-3471. doi: http://dx.doi.org/10.1016/j.egypro.2011.02.272
Galloway, D. L., Jones, D. R., & Ingebritsen, S. E. (2000). Measuring Land Subsidence From Space. from http://pubs.usgs.gov/fs/fs-051-00/
Goldstein, R. (1995). Atmospheric limitations to repeat-track radar interferometry. Geophysical Research Letters, 22(18), 2517-2520. doi: 10.1029/95GL02475
Graham, L. C. (1974). Synthetic interferometer radar for topographic mapping. Proceedings of the IEEE, 62(6), 763-768. doi: 10.1109/PROC.1974.9516
Gupta, R. V. (2003). Remote sensing geology: Springer-Verlag Berlin Heidelberg.
Hanssen, R. F. (2001). Radar Interferometry – Data Interpretation and Error Analysis: Kluwer Academic
Hooper, A. (2008). A multi-temporal InSAR method incorporating both persistent scatterer and small baseline approaches. Geophysical Research Letters, 35(16). doi: Artn L16302
10.1029/2008gl034654
Hooper , A., Bekaert, D., & Spaans, K. (2013). StaMPS/MTI Manual Version 3.3b1.
Hooper, A., Bekaert, D., Spaans, K., & Arikan, M. (2012). Recent advances in SAR interferometry time series analysis for measuring crustal deformation. Tectonophysics, 514, 1-13. doi: 10.1016/j.tecto.2011.10.013
Hooper, A., Segall, P., & Zebker, H. (2007). Persistent scatterer interferometric synthetic aperture radar for crustal deformation analysis, with application to Volcan Alcedo, Galapagos. Journal of Geophysical Research-Solid Earth, 112(B7). doi: Artn B07407
10.1029/2006jb004763
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). doi: Artn L23611
10.1029/2004gl021737
Ketelaar, V. B. H. (2009). Satellite Radar Interferometry: Subsidence Monitoring Techniques
Springers Netherlands.
Le, S. T., & Chang, C. P. (2015). Surface deformation assessments in Hanoi, Vietnam using ALOS PALSAR interferometry. Paper presented at the The 36th Asian Conference on Remote Sensing, Manila, Philippines.
Leake, S. A. (2013). Land Subsidence From Ground-Water Pumping. from http://geochange.er.usgs.gov/sw/changes/anthropogenic/subside/
Li, F. K., & Goldstein, R. M. (1990). Studies of multibaseline spaceborne interferometric synthetic aperture radars. IEEE Transactions on Geoscience and Remote Sensing, 28(1), 88-97. doi: 10.1109/36.45749
Lu, Z., Kwoun, O.-I., & Rykhus, R. P. (2007). Interferometric synthetic aperture radar (InSAR)—its past, present and future. Photogrammetric Engineering and Remote Sensing, 73(3), 217-221.
Lu, Z., Kwoun, O., & Rykhus, R. (2007). Interferometric synthetic aperture radar (InSAR): Its past, present and future. Photogrammetric Engineering and Remote Sensing, 73(3), 217-221.
Massonnet, D., & Feigl, K. L. (1998). Radar interferometry and its application to changes in the Earth′s surface. Reviews of Geophysics, 36(4), 441. doi: 10.1029/97rg03139
Minh, D., Van Trung, L., & Toan, T. (2015). Mapping Ground Subsidence Phenomena in Ho Chi Minh City through the Radar Interferometry Technique Using ALOS PALSAR Data. Remote Sensing, 7(7), 8543.
Minh, D. H. T., Van Trung, L., & Toan, T. L. (2015). Mapping Ground Subsidence Phenomena in Ho Chi Minh City through the Radar Interferometry Technique Using ALOS PALSAR Data. Remote Sensing, 7(7), 8543-8562. doi: 10.3390/rs70708543
Minnett, P. J. (1984). Satellite Microwave Remote Sensing. T. D. Allan (Editor). Ellis-Horwood Series in Marine Science, Chichester. 1983. Pp. 526. £45.00. Quarterly Journal of the Royal Meteorological Society, 110(465), 771-773. doi: 10.1002/qj.49711046514
Raucoules, D., Colesanti, C., & Carnec, C. (2007). Use of SAR interferometry for detecting and assessing ground subsidence. Comptes Rendus Geoscience, 339(5), 289-302. doi: 10.1016/j.crte.2007.02.002
Rogers, A. E. E., & Ingalls, R. P. (1969). Venus: mapping the surface reflectivity by radar interferometry. Science, 797-799. doi: 10.1126/science.165.3895.797
Thoang, T. T., & Giao, P. H. (2015). Subsurface characterization and prediction of land subsidence for HCM City, Vietnam. Engineering Geology, 199, 107-124. doi: 10.1016/j.enggeo.2015.10.009
Tran Quoc, C., Dinh Ho Tong, M., Le Van, T., & Thuy Le, T. (2015, 26-31 July 2015). Ground subsidence monitoring in Vietnam by multi-temporal InSAR technique. Paper presented at the Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International.
Zang, Z. Y. (2015). Monitoring and Predicting Railway Subsidence Using InSAR and Time Series Prediction Techniques. The University of Birmingham, UK.
Zebker, H. A., & Goldstein, R. M. (1986). Topographic mapping from interferometric synthetic aperture radar observations. Journal of Geophysical Research: Solid Earth, 91(B5), 4993-4999. doi: 10.1029/JB091iB05p04993
Zebker, H. A., Rosen, P. A., Goldstein, R. M., Gabriel, A., & Werner, C. L. (1994). On the derivation of coseismic displacement fields using differential radar interferometry: The Landers earthquake. Journal of Geophysical Research: Solid Earth, 99(B10), 19617-19634. doi: 10.1029/94JB01179
Zebker, H. A., & Villasenor, J. (1992). Decorrelation in Interferometric Radar Echoes. IEEE Transactions on Geoscience and Remote Sensing, 30(5), 950-959. doi: Doi 10.1109/36.175330
Zisk, S. H. (1972). A new, earth-based radar technique for the measurement of lunar topography. The moon, 4(3), 296-306. doi: 10.1007/bf00561997

指導教授

張中白(Chung-Pai Chang)

審核日期

2016-8-15

推文