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Mapping ground surface deformation using temporarily coherent point SAR interferometry: Application to Los Angeles Basin
Multi-temporal interferometric synthetic aperture radar (InSAR) is an effective tool to detect long-term seismotectonic motions by reducing the atmospheric artifacts, thereby providing more precise deformation signal. The commonly used approaches such as persistent scatterer InSAR (PSInSAR) and smal...
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Published in: | Remote sensing of environment 2012-02, Vol.117, p.429-439 |
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creator | Zhang, Lei Lu, Zhong Ding, Xiaoli Jung, Hyung-sup Feng, Guangcai Lee, Chang-Wook |
description | Multi-temporal interferometric synthetic aperture radar (InSAR) is an effective tool to detect long-term seismotectonic motions by reducing the atmospheric artifacts, thereby providing more precise deformation signal. The commonly used approaches such as persistent scatterer InSAR (PSInSAR) and small baseline subset (SBAS) algorithms need to resolve the phase ambiguities in interferogram stacks either by searching a predefined solution space or by sparse phase unwrapping methods; however the efficiency and the success of phase unwrapping cannot be guaranteed. We present here an alternative approach – temporarily coherent point (TCP) InSAR (TCPInSAR) – to estimate the long term deformation rate without the need of phase unwrapping. The proposed approach has a series of innovations including TCP identification, TCP network and TCP least squares estimator. We apply the proposed method to the Los Angeles Basin in southern California where structurally active faults are believed capable of generating damaging earthquakes. The analysis is based on 55 interferograms from 32 ERS-1/2 images acquired during Oct. 1995 and Dec. 2000. To evaluate the performance of TCPInSAR on a small set of observations, a test with half of interferometric pairs is also performed. The retrieved TCPInSAR measurements have been validated by a comparison with GPS observations from Southern California Integrated GPS Network. Our result presents a similar deformation pattern as shown in past InSAR studies but with a smaller average standard deviation (4.6
mm) compared with GPS observations, indicating that TCPInSAR is a promising alternative for efficiently mapping ground deformation even from a relatively smaller set of interferograms.
► TCPInSAR is an effective tool in mapping deformation without phase unwrapping. ► TCPInSAR innovations include TCP networking & least squares estimator. ► TCPInSAR can estimate deformation from a small set of interferograms. |
doi_str_mv | 10.1016/j.rse.2011.10.020 |
format | article |
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mm) compared with GPS observations, indicating that TCPInSAR is a promising alternative for efficiently mapping ground deformation even from a relatively smaller set of interferograms.
► TCPInSAR is an effective tool in mapping deformation without phase unwrapping. ► TCPInSAR innovations include TCP networking & least squares estimator. ► TCPInSAR can estimate deformation from a small set of interferograms.</description><identifier>ISSN: 0034-4257</identifier><identifier>EISSN: 1879-0704</identifier><identifier>DOI: 10.1016/j.rse.2011.10.020</identifier><identifier>CODEN: RSEEA7</identifier><language>eng</language><publisher>New York, NY: Elsevier Inc</publisher><subject>Animal, plant and microbial ecology ; Applied geophysics ; Biological and medical sciences ; Coregistration ; Earth sciences ; Earth, ocean, space ; Exact sciences and technology ; Fundamental and applied biological sciences. Psychology ; General aspects. Techniques ; Interferometric SAR (InSAR) ; Internal geophysics ; Least squares ; Phase ambiguity ; Phase unwrapping ; Subsidence ; Synthetic aperture radar (SAR) ; Teledetection and vegetation maps</subject><ispartof>Remote sensing of environment, 2012-02, Vol.117, p.429-439</ispartof><rights>2011</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c359t-d0897dea13eda2728df84517b20739d898bd956c603fdb1310ce538af7f4161e3</citedby><cites>FETCH-LOGICAL-c359t-d0897dea13eda2728df84517b20739d898bd956c603fdb1310ce538af7f4161e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27922,27923</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=25506720$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhang, Lei</creatorcontrib><creatorcontrib>Lu, Zhong</creatorcontrib><creatorcontrib>Ding, Xiaoli</creatorcontrib><creatorcontrib>Jung, Hyung-sup</creatorcontrib><creatorcontrib>Feng, Guangcai</creatorcontrib><creatorcontrib>Lee, Chang-Wook</creatorcontrib><title>Mapping ground surface deformation using temporarily coherent point SAR interferometry: Application to Los Angeles Basin</title><title>Remote sensing of environment</title><description>Multi-temporal interferometric synthetic aperture radar (InSAR) is an effective tool to detect long-term seismotectonic motions by reducing the atmospheric artifacts, thereby providing more precise deformation signal. The commonly used approaches such as persistent scatterer InSAR (PSInSAR) and small baseline subset (SBAS) algorithms need to resolve the phase ambiguities in interferogram stacks either by searching a predefined solution space or by sparse phase unwrapping methods; however the efficiency and the success of phase unwrapping cannot be guaranteed. We present here an alternative approach – temporarily coherent point (TCP) InSAR (TCPInSAR) – to estimate the long term deformation rate without the need of phase unwrapping. The proposed approach has a series of innovations including TCP identification, TCP network and TCP least squares estimator. We apply the proposed method to the Los Angeles Basin in southern California where structurally active faults are believed capable of generating damaging earthquakes. The analysis is based on 55 interferograms from 32 ERS-1/2 images acquired during Oct. 1995 and Dec. 2000. To evaluate the performance of TCPInSAR on a small set of observations, a test with half of interferometric pairs is also performed. The retrieved TCPInSAR measurements have been validated by a comparison with GPS observations from Southern California Integrated GPS Network. Our result presents a similar deformation pattern as shown in past InSAR studies but with a smaller average standard deviation (4.6
mm) compared with GPS observations, indicating that TCPInSAR is a promising alternative for efficiently mapping ground deformation even from a relatively smaller set of interferograms.
► TCPInSAR is an effective tool in mapping deformation without phase unwrapping. ► TCPInSAR innovations include TCP networking & least squares estimator. ► TCPInSAR can estimate deformation from a small set of interferograms.</description><subject>Animal, plant and microbial ecology</subject><subject>Applied geophysics</subject><subject>Biological and medical sciences</subject><subject>Coregistration</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General aspects. Techniques</subject><subject>Interferometric SAR (InSAR)</subject><subject>Internal geophysics</subject><subject>Least squares</subject><subject>Phase ambiguity</subject><subject>Phase unwrapping</subject><subject>Subsidence</subject><subject>Synthetic aperture radar (SAR)</subject><subject>Teledetection and vegetation maps</subject><issn>0034-4257</issn><issn>1879-0704</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNp9kEuvEzEMhSMEEuXCD2CXDWI1xck8koFVueIlFSHxWEdp4pRUM5PBmUG3_56UXrFk4yNbn4_lw9hzAVsBont12lLGrQQhSr8FCQ_YRmjVV6Cgecg2AHVTNbJVj9mTnE8AotVKbNjdZzvPcTryI6V18jyvFKxD7jEkGu0S08TXfAEWHOdEluJw5i79RMJp4XOKpX7bfeVFkQJSGnGh82u-m-chuqvBkvg-Zb6bjjhg5m9tMXzKHgU7ZHx2rzfsx_t3328_VvsvHz7d7vaVq9t-qTzoXnm0okZvpZLaB920Qh0kqLr3utcH37ed66AO_iBqAQ7bWtugQiM6gfUNe3n1nSn9WjEvZozZ4TDYCdOaTS9Bg1BSFFJcSUcpZ8JgZoqjpbMRYC4hm5MpIZtLyJdRCbnsvLh3t9nZIZCdXMz_FmXbQqf-cm-uHJZXf0ckk13EyaGPhG4xPsX_XPkDK2qTsQ</recordid><startdate>20120215</startdate><enddate>20120215</enddate><creator>Zhang, Lei</creator><creator>Lu, Zhong</creator><creator>Ding, Xiaoli</creator><creator>Jung, Hyung-sup</creator><creator>Feng, Guangcai</creator><creator>Lee, Chang-Wook</creator><general>Elsevier Inc</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>7ST</scope><scope>C1K</scope><scope>SOI</scope></search><sort><creationdate>20120215</creationdate><title>Mapping ground surface deformation using temporarily coherent point SAR interferometry: Application to Los Angeles Basin</title><author>Zhang, Lei ; Lu, Zhong ; Ding, Xiaoli ; Jung, Hyung-sup ; Feng, Guangcai ; Lee, Chang-Wook</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c359t-d0897dea13eda2728df84517b20739d898bd956c603fdb1310ce538af7f4161e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Animal, plant and microbial ecology</topic><topic>Applied geophysics</topic><topic>Biological and medical sciences</topic><topic>Coregistration</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General aspects. Techniques</topic><topic>Interferometric SAR (InSAR)</topic><topic>Internal geophysics</topic><topic>Least squares</topic><topic>Phase ambiguity</topic><topic>Phase unwrapping</topic><topic>Subsidence</topic><topic>Synthetic aperture radar (SAR)</topic><topic>Teledetection and vegetation maps</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Lei</creatorcontrib><creatorcontrib>Lu, Zhong</creatorcontrib><creatorcontrib>Ding, Xiaoli</creatorcontrib><creatorcontrib>Jung, Hyung-sup</creatorcontrib><creatorcontrib>Feng, Guangcai</creatorcontrib><creatorcontrib>Lee, Chang-Wook</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Environment Abstracts</collection><jtitle>Remote sensing of environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Lei</au><au>Lu, Zhong</au><au>Ding, Xiaoli</au><au>Jung, Hyung-sup</au><au>Feng, Guangcai</au><au>Lee, Chang-Wook</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Mapping ground surface deformation using temporarily coherent point SAR interferometry: Application to Los Angeles Basin</atitle><jtitle>Remote sensing of environment</jtitle><date>2012-02-15</date><risdate>2012</risdate><volume>117</volume><spage>429</spage><epage>439</epage><pages>429-439</pages><issn>0034-4257</issn><eissn>1879-0704</eissn><coden>RSEEA7</coden><abstract>Multi-temporal interferometric synthetic aperture radar (InSAR) is an effective tool to detect long-term seismotectonic motions by reducing the atmospheric artifacts, thereby providing more precise deformation signal. The commonly used approaches such as persistent scatterer InSAR (PSInSAR) and small baseline subset (SBAS) algorithms need to resolve the phase ambiguities in interferogram stacks either by searching a predefined solution space or by sparse phase unwrapping methods; however the efficiency and the success of phase unwrapping cannot be guaranteed. We present here an alternative approach – temporarily coherent point (TCP) InSAR (TCPInSAR) – to estimate the long term deformation rate without the need of phase unwrapping. The proposed approach has a series of innovations including TCP identification, TCP network and TCP least squares estimator. We apply the proposed method to the Los Angeles Basin in southern California where structurally active faults are believed capable of generating damaging earthquakes. The analysis is based on 55 interferograms from 32 ERS-1/2 images acquired during Oct. 1995 and Dec. 2000. To evaluate the performance of TCPInSAR on a small set of observations, a test with half of interferometric pairs is also performed. The retrieved TCPInSAR measurements have been validated by a comparison with GPS observations from Southern California Integrated GPS Network. Our result presents a similar deformation pattern as shown in past InSAR studies but with a smaller average standard deviation (4.6
mm) compared with GPS observations, indicating that TCPInSAR is a promising alternative for efficiently mapping ground deformation even from a relatively smaller set of interferograms.
► TCPInSAR is an effective tool in mapping deformation without phase unwrapping. ► TCPInSAR innovations include TCP networking & least squares estimator. ► TCPInSAR can estimate deformation from a small set of interferograms.</abstract><cop>New York, NY</cop><pub>Elsevier Inc</pub><doi>10.1016/j.rse.2011.10.020</doi><tpages>11</tpages></addata></record> |
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subjects | Animal, plant and microbial ecology Applied geophysics Biological and medical sciences Coregistration Earth sciences Earth, ocean, space Exact sciences and technology Fundamental and applied biological sciences. Psychology General aspects. Techniques Interferometric SAR (InSAR) Internal geophysics Least squares Phase ambiguity Phase unwrapping Subsidence Synthetic aperture radar (SAR) Teledetection and vegetation maps |
title | Mapping ground surface deformation using temporarily coherent point SAR interferometry: Application to Los Angeles Basin |
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