{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T17:53:00Z","timestamp":1775065980251,"version":"3.50.1"},"reference-count":41,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2020,5,18]],"date-time":"2020-05-18T00:00:00Z","timestamp":1589760000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Key R&amp;D Program of China","award":["2018YFC1505100"],"award-info":[{"award-number":["2018YFC1505100"]}]},{"name":"China Academy of Railway Sciences Fund","award":["2019YJ028"],"award-info":[{"award-number":["2019YJ028"]}]},{"name":"Key R&amp;D Program of Shannxi","award":["2019ZDLGY08-05"],"award-info":[{"award-number":["2019ZDLGY08-05"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Interferometric synthetic aperture radar (InSAR) products may be significantly distorted by microwave signals traveling through the ionosphere, especially with long wavelengths. The split-spectrum method (SSM) is used to separate the ionospheric and the nondispersive phase terms with lower and higher spectral sub-band interferogram images. However, the ionospheric path delay phase is very delicate to the synthetic aperture radar (SAR) parameters including orbit vectors, slant range, and target height. In this paper, we get the impact of SAR parameter errors on the ionospheric phase by two steps. The first step is getting the derivates of geolocation with reference to SAR parameters based on the range-Doppler (RD) imaging model and the second step is calculating the derivates of the ionospheric phase delay with respect to geometric positioning. Through the numerical simulation, we demonstrate that the deviation of ionospheric phase has a linear relationship with SAR parameter errors. The experimental results show that the estimation of SAR parameters should be accurate enough since the parameter errors significantly affect the performance of ionospheric correction. The root mean square error (RMSE) between the corrected differential interferometric SAR (DInSAR) phase with SAR parameter errors and the corrected DInSAR phase without parameter errors varies from centimeter to decimeter level with the L-band data acquired by the Advanced Land Observing Satellite (ALOS) Phased Array type L-band SAR (PALSAR) over Antofagasta, Chile. Furthermore, the effectiveness of SSM can be improved when SAR parameters are accurately estimated.<\/jats:p>","DOI":"10.3390\/rs12101607","type":"journal-article","created":{"date-parts":[[2020,5,18]],"date-time":"2020-05-18T11:34:14Z","timestamp":1589801654000},"page":"1607","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["The Impact of SAR Parameter Errors on the Ionospheric Correction Based on the Range-Doppler Model and the Split-Spectrum Method"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2811-1784","authenticated-orcid":false,"given":"Fangjia","family":"Dou","sequence":"first","affiliation":[{"name":"Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China"},{"name":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"},{"name":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6991-583X","authenticated-orcid":false,"given":"Xiaolei","family":"Lv","sequence":"additional","affiliation":[{"name":"Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China"},{"name":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"},{"name":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qi","family":"Chen","sequence":"additional","affiliation":[{"name":"China Centre for Resources Satellite Data and Application, Beijing 100094, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guangcai","family":"Sun","sequence":"additional","affiliation":[{"name":"National Lab of Radar Signal Processing, Xidian University, Xi\u2019an 710071, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ye","family":"Yun","sequence":"additional","affiliation":[{"name":"Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China"},{"name":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiao","family":"Zhou","sequence":"additional","affiliation":[{"name":"Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China"},{"name":"Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,5,18]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"R1","DOI":"10.1088\/0266-5611\/14\/4\/001","article-title":"Synthetic aperture radar interferometry","volume":"14","author":"Bamler","year":"1998","journal-title":"Inverse Probl."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1026","DOI":"10.1126\/science.1140035","article-title":"Stress control of deep rift intrusion at Mauna Loa volcano, Hawaii","volume":"316","author":"Amelung","year":"2007","journal-title":"Science"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.tecto.2011.10.013","article-title":"Recent advances in SAR interferometry time series analysis for measuring crustal deformation","volume":"514","author":"Hooper","year":"2012","journal-title":"Tectonophysics"},{"key":"ref_4","first-page":"217","article-title":"Interferometric synthetic aperture radar (InSAR): Its past, present and future","volume":"73","author":"Lu","year":"2007","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1029\/97RG03139","article-title":"Radar interferometry and its application to changes in the earth\u2019s surface","volume":"36","author":"Massonnet","year":"1998","journal-title":"Rev. Geophys."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"678","DOI":"10.1002\/2017JF004594","article-title":"InSAR Measurements and Viscoelastic Modeling of Sinkhole Precursory Subsidence: Implications for Sinkhole Formation, Early Warning, and Sediment Properties","volume":"123","author":"Baer","year":"2018","journal-title":"J. Geophys. Res.-Earth Surf."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"2375","DOI":"10.1109\/TGRS.2002.803792","article-title":"A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms","volume":"40","author":"Berardino","year":"2002","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"7205","DOI":"10.1109\/TGRS.2014.2309346","article-title":"Joint-Scatterer Processing for Time-Series InSAR","volume":"52","author":"Lv","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_9","first-page":"73","article-title":"Application of Spaceborne Interferometric Synthetic Aperture Radar to Geohazard Monitoring","volume":"9","author":"Yun","year":"2020","journal-title":"J. Radars"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1345","DOI":"10.1002\/2014JB011558","article-title":"A spatially variable power law tropospheric correction technique for InSAR data","volume":"120","author":"Bekaert","year":"2015","journal-title":"J. Geophys. Res.-Solid Earth"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1016\/j.rse.2015.08.035","article-title":"Statistical comparison of InSAR tropospheric correction techniques","volume":"170","author":"Bekaert","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"907","DOI":"10.1016\/j.jastp.2004.02.006","article-title":"Modeling atmospheric effects on InSAR with meteorological and continuous GPS observations: Algorithms and some test results","volume":"66","author":"Li","year":"2004","journal-title":"J. Atmos. Solar-Terr. Phys."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1016\/S1474-7065(02)00013-X","article-title":"Atmospheric water vapour correction to InSAR surface motion measurements on mountains: Results from a dense GPS network on Mount Etna","volume":"27","author":"Webley","year":"2002","journal-title":"Phys. Chem. Earth"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/j.rse.2017.10.038","article-title":"Interferometric synthetic aperture radar atmospheric correction using a GPS-based iterative tropospheric decomposition model","volume":"204","author":"Yu","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"9202","DOI":"10.1029\/2017JB015305","article-title":"Generic Atmospheric Correction Model for Interferometric Synthetic Aperture Radar Observations","volume":"123","author":"Yu","year":"2018","journal-title":"J. Geophys. Res.-Solid Earth"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Foster, J., Brooks, B., Cherubini, T., Shacat, C., Businger, S., and Werner, C.L. (2006). Mitigating atmospheric noise for InSAR using a high resolution weather model. Geophys. Res. Lett., 33.","DOI":"10.1029\/2006GL026781"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"2324","DOI":"10.1002\/2013JB010588","article-title":"Improving InSAR geodesy using Global Atmospheric Models","volume":"119","author":"Jolivet","year":"2014","journal-title":"J. Geophys. Res.-Solid Earth"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Jolivet, R., Grandin, R., Lasserre, C., Doin, M.P., and Peltzer, G. (2011). Systematic InSAR tropospheric phase delay corrections from global meteorological reanalysis data. Geophys. Res. Lett., 38.","DOI":"10.1029\/2011GL048757"},{"key":"ref_19","unstructured":"Shimada, M. (2000, January 24\u201328). Correction of the satellite\u2019s state vector and the atmospheric excess path delay in SAR interferometry\u2014Application to surface deformation detection. Proceedings of the IEEE 2000 International Geoscience and Remote Sensing Symposium, Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment, Honolulu, HI, USA."},{"key":"ref_20","unstructured":"Shimada, M., Minamisawa, M., Isoguchi, O., and Ieee, I. (2001, January 9\u201313). Correction of atmospheric excess path delay appeared in repeat-pass SAR interferometry using objective analysis data. Proceedings of the IGARSS 2001, Scanning the Present and Resolving the Future, IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217), Sydney, NSW, Australia."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1451","DOI":"10.1029\/2000GL000016","article-title":"Influence of ionospheric electron density fluctuations on satellite radar interferometry","volume":"27","author":"Gray","year":"2000","journal-title":"Geophys. Res. Lett."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"593","DOI":"10.5589\/m02-051","article-title":"Reducing ionospheric electron density errors in satellite radar interferometry applications","volume":"28","author":"Mattar","year":"2002","journal-title":"Can. J. Remote Sens."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"383","DOI":"10.1109\/36.823934","article-title":"Effect of Faraday rotation on L-band interferometric and polarimetric synthetic-aperture radar data","volume":"38","author":"Rignot","year":"2000","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Rosen, P.A., Hensley, S., and Chen, C. (2010, January 10\u201314). Measurement and Mitigation of the Ionosphere in L-band Interferometric SAR Data. Proceedings of the 2010 Ieee Radar Conference, Washington, DC, USA.","DOI":"10.1109\/RADAR.2010.5494385"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Brcic, R., Parizzi, A., Eineder, M., Bamler, R., and Meyer, F. (2010, January 25\u201330). Estimation and compensation of ionospheric delay for sar interferometry. Proceedings of the 2010 Ieee International Geoscience and Remote Sensing Symposium, Honolulu, HI, USA.","DOI":"10.1109\/IGARSS.2010.5652231"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1109\/TGRS.2016.2604461","article-title":"Ionospheric Phase Screen Compensation for the Sentinel-1 TOPS and ALOS-2 ScanSAR Modes","volume":"55","author":"Gomba","year":"2017","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1446","DOI":"10.1109\/TGRS.2015.2481079","article-title":"Toward Operational Compensation of Ionospheric Effects in SAR Interferograms: The Split-Spectrum Method","volume":"54","author":"Gomba","year":"2016","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"9431","DOI":"10.3390\/rs70709431","article-title":"Sentinel-1A Product Geolocation Accuracy: Commissioning Phase Results","volume":"7","author":"Schubert","year":"2015","journal-title":"Remote Sens."},{"key":"ref_29","unstructured":"Dong, X.T., Zhao, Y.H., Yue, X.J., and Han, C.M. (2017, January 28\u201330). An Accurate Co-registration Method for Airborne Repeatpass InSAR. Proceedings of the 2017 International Conference on Sustainable Development on Energy and Environment Protection, Yichang, China."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1957","DOI":"10.1080\/01431169508954532","article-title":"Geocoding of fast-delivery ers-1 sar image mode product using dem data","volume":"16","author":"Johnsen","year":"1995","journal-title":"Int. J. Remote Sens."},{"key":"ref_31","first-page":"270","article-title":"Study on the geolocation algorithm of space-borne SAR image","volume":"Volume 4153","author":"Zheng","year":"2006","journal-title":"Advances in Machine Vision, Image Processing, and Pattern Analysis"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"549","DOI":"10.1093\/gji\/ggu276","article-title":"InSAR uncertainty due to orbital errors","volume":"199","author":"Fattahi","year":"2014","journal-title":"Geophys. J. Int."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"1147","DOI":"10.1007\/s00190-012-0571-6","article-title":"Reliable estimation of orbit errors in spaceborne SAR interferometry The network approach","volume":"86","author":"Baehr","year":"2012","journal-title":"J. Geod."},{"key":"ref_34","first-page":"1123","article-title":"Baseline analysis and control of spaceborne repeat-pass InSAR based on relative orbital elements","volume":"23","author":"Zhang","year":"2019","journal-title":"J. Remote Sens."},{"key":"ref_35","first-page":"11","article-title":"Preliminary Exploration of Systematic Geolocation Accuracy of GF-3 SAR Satellite System","volume":"6","author":"Ding","year":"2017","journal-title":"J. Radars"},{"key":"ref_36","first-page":"1444","article-title":"Range-Cocone equation with Doppler parameter for SAR imagery positioning","volume":"17","author":"Cheng","year":"2013","journal-title":"J. Remote Sens."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"5984","DOI":"10.1109\/TGRS.2017.2718566","article-title":"InSAR Time-Series Estimation of the Ionospheric Phase Delay: An Extension of the Split Range-Spectrum Technique","volume":"55","author":"Fattahi","year":"2017","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_38","first-page":"1082","article-title":"The algorithm for direct geo location of space-borne SAR imagery based on slant angle coordinate transformation","volume":"16","author":"Chen","year":"2006","journal-title":"High Technol. Lett."},{"key":"ref_39","unstructured":"Kang, Y. (2015). Study on the Influence of Spaceborne SAR Orbital Data on Image Geolocation. [Master\u2019s Thesis, Liaoning Technical University]."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"560","DOI":"10.1109\/LGRS.2006.882148","article-title":"The potential of low-frequency SAR systems for mapping ionospheric TEC distributions","volume":"3","author":"Meyer","year":"2006","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Milczarek, W., Kopec, A., and Glabicki, D. (2019). Estimation of Tropospheric and Ionospheric Delay in DInSAR Calculations: Case Study of Areas Showing (Natural and Induced) Seismic Activity. Remote Sens., 11.","DOI":"10.3390\/rs11060621"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/10\/1607\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T09:29:50Z","timestamp":1760174990000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/10\/1607"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5,18]]},"references-count":41,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2020,5]]}},"alternative-id":["rs12101607"],"URL":"https:\/\/doi.org\/10.3390\/rs12101607","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,5,18]]}}}