{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T09:59:40Z","timestamp":1773827980268,"version":"3.50.1"},"reference-count":31,"publisher":"Wiley","license":[{"start":{"date-parts":[[2021,7,23]],"date-time":"2021-07-23T00:00:00Z","timestamp":1626998400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61974035"],"award-info":[{"award-number":["61974035"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Scientific Programming"],"published-print":{"date-parts":[[2021,7,23]]},"abstract":"<jats:p>With the enrichment of land subsidence monitoring means, data fusion of multisource land subsidence data has gradually become a research hotspot. The Interferometry Synthetic Aperture Radar (InSAR) is a potential Earth observation approach, and it has been verified to have a variety of applications in measuring ground movement, urban subsidence, and landslides but similar to Global Positioning System (GPS). The InSAR observation accuracy and measurements are affected by the tropospheric delay error as well as by the Earth\u2019s ionospheric and tropospheric layers. In order to rectify the InSAR result, there is a need to interpolate the GPS-derived tropospheric delay. Keeping in view of the above, this research study has presented an improved Inverse Distance Weighting (IIDW) interpolation method based on Inverse Distance Weighting (IDW) interpolation by using Sentinel-1 radar satellite image provided by European Space Agency (ESA) and the measured data from the Continuously Operating Reference Stations (CORS) provided by the Survey and Mapping Office of the Lands Department of Hong Kong. Furthermore, the corrected differential tropospheric delay correction is used to correct the InSAR image. The experimental results show that the correction of tropospheric delay by IIDW interpolation not only improves the accuracy of Differential Interferometry Synthetic Aperture Radar (D-InSAR) but also provides a new idea for the solution of InSAR and GPS data fusion.<\/jats:p>","DOI":"10.1155\/2021\/3888975","type":"journal-article","created":{"date-parts":[[2021,7,23]],"date-time":"2021-07-23T21:35:09Z","timestamp":1627076109000},"page":"1-9","source":"Crossref","is-referenced-by-count":8,"title":["Applied Research on InSAR and GPS Data Fusion in Deformation Monitoring"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4079-9868","authenticated-orcid":true,"given":"Ziwen","family":"Zhang","sequence":"first","affiliation":[{"name":"Guangzhou Maritime University, Guangzhou 510725, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuelian","family":"Wang","sequence":"additional","affiliation":[{"name":"Guangzhou Maritime University, Guangzhou 510725, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongdong","family":"Wu","sequence":"additional","affiliation":[{"name":"Center of Guangzhou Maritime Survey and Mapping, Guangzhou 510320, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zengpeng","family":"Zhao","sequence":"additional","affiliation":[{"name":"Institute of Liaocheng Urban and Rural Planning and Design, Liaocheng 252000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"E","sequence":"additional","affiliation":[{"name":"Guangzhou Maritime University, Guangzhou 510725, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","article-title":"Pulsed doppler radar methods and apparatus","author":"C. 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W.Modeling Atmospheric Effects on Repeat-Pass InSAR Measurements2005Hong Kong, ChinaDepartment of Land Surveying and Geo-Information, Hong Kong Polytechnic UniversityPh.D. dissertation"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2002.802453"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.earth.25.1.301"},{"key":"14","article-title":"GPS satellite surveying","volume-title":"GPS Surveying and Data Processing","author":"A. 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Song","year":"2015","journal-title":"Earthquake Geology"},{"issue":"3","key":"23","first-page":"469","article-title":"Application study of trace deformation monitoring using GPS and CRInSAR fusion","volume":"35","author":"P. F. Tu","year":"2015","journal-title":"Geodesy and Geodynamics"},{"issue":"7","key":"24","first-page":"810","article-title":"Integration of lift-track InSAR and GPS data for inversion of Xi\u2019an deformation field","volume":"45","author":"X.-Y. Wang","year":"2016","journal-title":"Journal of Surveying and Mapping"},{"issue":"6","key":"25","first-page":"2080","article-title":"GPS and InSAR isoseismic deformation constrained rupture sliding distribution of M_W7.9 and M_W7.3 earthquakes in Nepal","volume":"59","author":"K. Tan","year":"2016","journal-title":"Journal of Geophysics"},{"issue":"3","key":"26","first-page":"718","article-title":"Acquisition of vertical deformation field of Wenchuan synoptic earthquake based on InSAR and GPS observation","volume":"36","author":"X. Shan","year":"2014","journal-title":"Earthquake Geology"},{"issue":"3","key":"27","first-page":"59","article-title":"Research on the method of improving the accuracy of deformation monitoring by fusion of GPS and InSAR","volume":"30","author":"H. Chen","year":"2010","journal-title":"Geodesy and Geodynamics"},{"issue":"6","key":"28","first-page":"32","article-title":"InSAR tropospheric delay correction based on CGPS data","volume":"34","author":"J. Zhou","year":"2009","journal-title":"Mapping Science"},{"issue":"5","key":"29","first-page":"669","article-title":"InSAR atmospheric delay correction method based on GPS and U.S. Environmental Forecast Center observations","volume":"40","author":"L. 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Yang","year":"2013","journal-title":"Remote Sensing of Land Resources"}],"container-title":["Scientific Programming"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/sp\/2021\/3888975.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/sp\/2021\/3888975.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/sp\/2021\/3888975.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,7,23]],"date-time":"2021-07-23T21:35:33Z","timestamp":1627076133000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/sp\/2021\/3888975\/"}},"subtitle":[],"editor":[{"given":"Muhammad","family":"Usman","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2021,7,23]]},"references-count":31,"alternative-id":["3888975","3888975"],"URL":"https:\/\/doi.org\/10.1155\/2021\/3888975","relation":{},"ISSN":["1875-919X","1058-9244"],"issn-type":[{"value":"1875-919X","type":"electronic"},{"value":"1058-9244","type":"print"}],"subject":[],"published":{"date-parts":[[2021,7,23]]}}}