{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T03:13:51Z","timestamp":1769051631253,"version":"3.49.0"},"reference-count":70,"publisher":"MDPI AG","issue":"21","license":[{"start":{"date-parts":[[2021,10,21]],"date-time":"2021-10-21T00:00:00Z","timestamp":1634774400000},"content-version":"vor","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":["41904003, 41774040, 41674011"],"award-info":[{"award-number":["41904003, 41774040, 41674011"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The existence of the common mode error (CME) in the continuous global navigation satellite system (GNSS) coordinate time series affects geophysical studies that use GNSS observations. To understand the potential contributors of CME in GNSS networks in Taiwan and their effect on velocity estimations, we used the principal component analysis (PCA) and independent component analysis (ICA) to filter the vertical coordinate time series from 44 high-quality GNSS stations in Taiwan island in China, with a span of 10 years. The filtering effects have been evaluated and the potential causes of the CME are analyzed. The root-mean-square values decreased by approximately 14% and 17% after spatio-temporal filtering using PCA and ICA, respectively. We then discuss the relationship between the CME sources obtained by ICA and the environmental loads. The results reveal that the independent displacements extracted by ICA correlate with the atmospheric mass loading (ATML) and land water storage mass loading (LWS) of Taiwan in terms of both its amplitude and phase. We then use the white noise plus power law noise model to quantitatively estimate the noise characteristics of the pre- and post-filtered coordinate time series based on the maximum likelihood estimation criterion. The results indicate that spatio-temporal filtering reduces the amplitude of the PL and the periodic terms in the GPS time series.<\/jats:p>","DOI":"10.3390\/rs13214221","type":"journal-article","created":{"date-parts":[[2021,10,21]],"date-time":"2021-10-21T23:27:39Z","timestamp":1634858859000},"page":"4221","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Potential Contributors to Common Mode Error in Array GPS Displacement Fields in Taiwan Island"],"prefix":"10.3390","volume":"13","author":[{"given":"Xiaojun","family":"Ma","sequence":"first","affiliation":[{"name":"Engineering Laboratory of Spatial Information Technology of Highway Geological Disaster Early Warning in Hunan Province, Changsha University of Science & Technology, Changsha 410114, China"},{"name":"School of Traffic and Transportation Engineering, Changsha University of Science & Technology, Changsha 410114, China"}]},{"given":"Bin","family":"Liu","sequence":"additional","affiliation":[{"name":"Engineering Laboratory of Spatial Information Technology of Highway Geological Disaster Early Warning in Hunan Province, Changsha University of Science & Technology, Changsha 410114, China"},{"name":"School of Traffic and Transportation Engineering, Changsha University of Science & Technology, Changsha 410114, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1606-117X","authenticated-orcid":false,"given":"Wujiao","family":"Dai","sequence":"additional","affiliation":[{"name":"School of Geosciences and Info-Physics, Central South University, Changsha 410012, China"}]},{"given":"Cuilin","family":"Kuang","sequence":"additional","affiliation":[{"name":"School of Geosciences and Info-Physics, Central South University, Changsha 410012, China"}]},{"given":"Xuemin","family":"Xing","sequence":"additional","affiliation":[{"name":"Engineering Laboratory of Spatial Information Technology of Highway Geological Disaster Early Warning in Hunan Province, Changsha University of Science & Technology, Changsha 410114, China"},{"name":"School of Traffic and Transportation Engineering, Changsha University of Science & Technology, Changsha 410114, China"}]}],"member":"1968","published-online":{"date-parts":[[2021,10,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"106801","DOI":"10.1088\/0034-4885\/79\/10\/106801","article-title":"Physical applications of GPS geodesy: A review","volume":"79","author":"Bock","year":"2016","journal-title":"Rep. Prog. Phys."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1016\/j.jog.2017.01.004","article-title":"Review of current GPS methodologies for producing accurate time series and their error sources","volume":"106","author":"He","year":"2017","journal-title":"J. Geodyn."},{"key":"ref_3","first-page":"496","article-title":"Noise Model Establishment and Analysis of IGS Reference Station Coordinate Time Series inside China","volume":"41","author":"Li","year":"2012","journal-title":"Acta Geod. Cartogr. Sin."},{"key":"ref_4","first-page":"31","article-title":"Noise properties in time series of coordinate component at gps fiducial stations","volume":"26","author":"Huang","year":"2006","journal-title":"J. Geod. Geodyn."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"2797","DOI":"10.1029\/1998JB900033","article-title":"Noise in GPS coordinate time series","volume":"104","author":"Mao","year":"1999","journal-title":"J. Geophys. Res."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"18057","DOI":"10.1029\/97JB01378","article-title":"Southern California permanent GPS geodetic array: Spatial filtering of daily positions for estimating coseismic and postseismic displacements induced by the 1992 Landers earthquake","volume":"102","author":"Wdowinski","year":"1997","journal-title":"J. Geophys. Res. Solid Earth"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"B03405","DOI":"10.1029\/2005JB003806","article-title":"Spatiotemporal filtering using principal component analysis and Karhunen-Loeve expansion approaches for regional GPS network analysis","volume":"111","author":"Dong","year":"2006","journal-title":"J. Geophys. Res. Solid Earth"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1841","DOI":"10.1007\/s00024-018-1856-3","article-title":"A Filtering of Incomplete GNSS Position Time Series with Probabilistic Principal Component Analysis","volume":"175","author":"Gruszczynski","year":"2018","journal-title":"Pure. Appl. Geophys."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"465","DOI":"10.1007\/s10712-010-9100-4","article-title":"Improved constraints on models of glacial isostatic adjustment: A review of the contribution of ground-based geodetic observations","volume":"31","author":"King","year":"2010","journal-title":"Surv. Geophys."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"2896","DOI":"10.1016\/j.asr.2017.05.002","article-title":"Quantitative analysis of geophysical sources of common mode component in CMONOC GPS coordinate time series","volume":"60","author":"Zhu","year":"2017","journal-title":"Adv. Space Res."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1515\/geo-2015-0021","article-title":"Spatio-temporal filtering for determination of common mode error in regional GNSS networks","volume":"7","author":"Bogusz","year":"2015","journal-title":"Open Geosci."},{"key":"ref_12","unstructured":"Nikolaidis, R. (2002). Observation of Geodetic and Seismic Deformation with the Global Positioning System. [Ph.D. Thesis, University of California]."},{"key":"ref_13","first-page":"2450","article-title":"Crustal velocity field of Mexico from continuous GPS measurements, 1993 to June 2001: Implications for the neotectonics of Mexico","volume":"108","author":"DeMets","year":"2003","journal-title":"J. Geophys. Res. Solid Earth"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"B03412","DOI":"10.1029\/2003JB002741","article-title":"Error analysis of continuous GPS position time series","volume":"109","author":"Williams","year":"2004","journal-title":"J. Geophys. Res. Solid Earth"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1080","DOI":"10.1002\/2015JB012253","article-title":"Extracting the regional common-mode component of GPS station position time series from dense continuous network","volume":"121","author":"Tian","year":"2016","journal-title":"J. Geophys. Res. Solid Earth"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"6003","DOI":"10.1002\/2013JB010102","article-title":"Vertical GPS ground motion rates in the Euro-Mediterranean region: New evidence of velocity gradients at different spatial scales along the Nubia-Eurasia plate boundary","volume":"118","author":"Serpelloni","year":"2013","journal-title":"J. Geophys. Res. Solid Earth"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1316","DOI":"10.1016\/j.asr.2014.12.016","article-title":"Accuracy enhancement of GPS time series using principal component analysis and block spatial filtering","volume":"55","author":"He","year":"2015","journal-title":"Adv. Space Res."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1186\/s40623-015-0357-1","article-title":"Spatiotemporal analysis of GPS time series in vertical direction using independent component analysis","volume":"67","author":"Liu","year":"2015","journal-title":"Earth Planets Space"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"2910","DOI":"10.1016\/j.asr.2017.02.028","article-title":"Extracting seasonal deformations of the Nepal Himalaya region from vertical GPS position time series using Independent Component Analysis","volume":"60","author":"Liu","year":"2017","journal-title":"Adv. Space Res."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Li, W., and Shen, Y. (2018). The Consideration of Formal Errors in Spatiotemporal Filtering Using Principal Component Analysis for Regional GNSS Position Time Series. Remote Sens., 10.","DOI":"10.3390\/rs10040534"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Tan, W., Chen, J., Dong, D., Qu, W., and Xu, X. (2020). Analysis of the Potential Contributors to Common Mode Error in Chuandian Region of China. Remote. Sens., 12.","DOI":"10.3390\/rs12050751"},{"key":"ref_22","first-page":"1372","article-title":"Characteristics of daily position time series from the Hong Kong GPS fiducial network","volume":"51","author":"Yuan","year":"2008","journal-title":"Chin. J. Geophys."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s00190-013-0663-y","article-title":"Spatiotemporal filtering of regional GNSS network\u2019s position time series with missing data using principle component analysis","volume":"88","author":"Shen","year":"2014","journal-title":"J. Geod."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1007\/s40328-015-0100-1","article-title":"Weighted spatiotemporal filtering using principal component analysis for analyzing regional GNSS position time series","volume":"50","author":"Li","year":"2015","journal-title":"Acta Geod. Geophys."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s00190-020-01466-5","article-title":"Robust estimation of spatially varying common-mode components in GPS time-series","volume":"95","author":"Kreemer","year":"2021","journal-title":"J. Geod."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1652","DOI":"10.1093\/gji\/ggy217","article-title":"Common mode error in Antarctic GPS coordinate time-series on its effect on bedrock-uplift estimates","volume":"214","author":"Liu","year":"2018","journal-title":"Geophys. J. Int."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1819","DOI":"10.1016\/j.asr.2020.06.018","article-title":"Crustal movement derived by GNSS technique considering common mode error with MSSA","volume":"66","author":"Zhou","year":"2020","journal-title":"Adv. Space Res."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Pan, Y., Chen, R., Ding, H., Xu, X., Zheng, G., Shen, W., Xiao, Y., and Li, S. (2019). Common Mode Component and Its Potential Effect on GPS-Inferred Three-Dimensional Crustal Deformations in the Eastern Tibetan Plateau. Remote. Sens., 11.","DOI":"10.3390\/rs11171975"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"11951","DOI":"10.1029\/2019JB018139","article-title":"Separation of Sources of Seasonal Uplift in China Using Independent Component Analysis of GNSS Time Series","volume":"124","author":"Yan","year":"2019","journal-title":"J. Geophys. Res. Solid Earth"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1007\/s00190-015-0875-4","article-title":"Blind source separation problem in GPS time series","volume":"90","author":"Gualandi","year":"2016","journal-title":"J. Geod."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1016\/j.tecto.2016.06.014","article-title":"Pre-and post-seismic deformation related to the 2015, Mw7. 8 Gorkha earthquake, Nepal","volume":"714","author":"Gualandi","year":"2017","journal-title":"Tectonophysics"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1805","DOI":"10.1007\/s00024-021-02732-z","article-title":"Common Mode Component and Its Potential Effect on GPS-Inferred Crustal Deformations in Greenland","volume":"178","author":"Bian","year":"2021","journal-title":"Pure. Appl. Geophys."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1007\/s12145-019-00415-x","article-title":"Long-term and seasonal displacements inferred from the regional GPS coordinate time series: Case study in Central China Hefei City","volume":"13","author":"Deng","year":"2020","journal-title":"Earth Sci. Inform."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1007\/s13131-021-1719-0","article-title":"Evaluation of vertical crustal movements and sea level changes around Greenland from GPS and tide gauge observations","volume":"40","author":"An","year":"2021","journal-title":"Acta Oceanol. Sin."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"1005","DOI":"10.1016\/j.asr.2017.10.049","article-title":"Study of seasonal and long-term vertical deformation in Nepal based on GPS and GRACE observations","volume":"61","author":"Zhang","year":"2018","journal-title":"Adv. Space Res."},{"key":"ref_36","first-page":"2783","article-title":"The coordinate time series analysis of continuous GPS stations in the Antarctic Peninsula with consideration of common mode error","volume":"59","author":"Ma","year":"2016","journal-title":"Chin. J. Geophys."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Zhang, K., Wang, Y., Gan, W., and Liang, S. (2020). Impacts of Local Effects and Surface Loads on the Common Mode Error Filtering in Continuous GPS Measurements in the Northwest of Yunnan Province, China. Sensors, 20.","DOI":"10.3390\/s20185408"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1007\/s00190-016-0973-y","article-title":"Spatiotemporal filtering for regional GPS network in China using independent component analysis","volume":"91","author":"Ming","year":"2017","journal-title":"J. Geod."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"e2020EA001159","DOI":"10.1029\/2020EA001159","article-title":"What Causes the Common-Mode Error in Array GPS Displacement Fields: Case Study for Taiwan in Relation to Atmospheric Mass Loading","volume":"7","author":"Kumar","year":"2020","journal-title":"Earth Space Sci."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/S0040-1951(96)00297-1","article-title":"Velocity field of GPS stations in the Taiwan area","volume":"274","author":"Yu","year":"1997","journal-title":"Tectonophysics"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"2520","DOI":"10.1029\/2003JB002396","article-title":"GPS measurement of postseismic deformation following the 1999 Chi-Chi, Taiwan, earthquake","volume":"108","author":"Yu","year":"2003","journal-title":"J. Geophys. Res."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/0040-1951(86)90005-3","article-title":"Seismotectonics of Taiwan","volume":"125","year":"1986","journal-title":"Tectonophysics"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1016\/0165-1684(94)90029-9","article-title":"Independent component analysis, a new concept?","volume":"36","author":"Comon","year":"1994","journal-title":"Signal. Process."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1016\/0165-1684(91)90080-3","article-title":"Blind separation of sources, Part II: Problems statement","volume":"24","author":"Comon","year":"1991","journal-title":"Signal. Process."},{"key":"ref_45","first-page":"206","article-title":"Space or time adaptive signal processing by neural network models","volume":"151","author":"Herault","year":"1986","journal-title":"Am. Inst. Phys."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/0165-1684(91)90079-X","article-title":"Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture","volume":"24","author":"Jutten","year":"1991","journal-title":"Signal. Process."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"2397","DOI":"10.1002\/jgrb.50152","article-title":"Detecting offsets in GPS time series: First results from the detection of offsets in GPS experiment","volume":"118","author":"Gazeaux","year":"2013","journal-title":"J. Geophys. Res. Solid Earth"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"1560","DOI":"10.1093\/gji\/ggy506","article-title":"Spatiotemporal noise in GPS position time-series from Crustal Movement Observation Network of China","volume":"216","author":"Wang","year":"2019","journal-title":"Geophys. J. Int."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"153","DOI":"10.5194\/isprs-archives-XLIII-B4-2021-153-2021","article-title":"Analysis the Influence of Modulated Amplitude on Common Mode Error Based on GPS Data","volume":"43","author":"Wang","year":"2021","journal-title":"ISPRS-Int. Arch. Photogramm. Remote. Sesing Spat. Inf. Sci."},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Zhu, Z., Zhou, X., and Liu, J. (2017, January 19\u201321). Noise analysis of common mode error in CMONOC GPS coordinate time series. Proceedings of the 2017 Forum on Cooperative Positioning and Service (CPGPS), Harbin, China.","DOI":"10.1109\/CPGPS.2017.8075122"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10291-017-0674-x","article-title":"On the combined effect of periodic signals and colored noise on velocity uncertainties","volume":"22","author":"Klos","year":"2017","journal-title":"Gps Solut."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"2521","DOI":"10.1016\/j.asr.2018.02.031","article-title":"Effect of removing the common mode errors on linear regression analysis of noise amplitudes in position time series of a regional GPS network & a case study of GPS stations in Southern California","volume":"61","author":"Jiang","year":"2018","journal-title":"Adv. Space Res."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"1271","DOI":"10.1007\/s00190-019-01244-y","article-title":"Investigation of the noise properties at low frequencies in long GNSS time series","volume":"93","author":"He","year":"2019","journal-title":"J. Geod."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"e2020JB019541","DOI":"10.1029\/2020JB019541","article-title":"Chameleonic Noise in GPS Position Time Series","volume":"126","author":"Ray","year":"2021","journal-title":"J. Geophys. Res. Solid Earth"},{"key":"ref_55","unstructured":"Dong, D., Chen, J., and Wang, J. (2018). The GNSS High. Precision Positioning Principle, Science Press."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"626","DOI":"10.1109\/72.761722","article-title":"Fast and robust fixed-point algorithms for independent component analysis","volume":"10","year":"1999","journal-title":"IEEE Trans. Neural Netw."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"1483","DOI":"10.1162\/neco.1997.9.7.1483","article-title":"A fast fixed-point algorithm for independent component analysis","volume":"9","author":"Oja","year":"1997","journal-title":"Neural Comput."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"1129","DOI":"10.1162\/neco.1995.7.6.1129","article-title":"An information-maximization approach to blind separation and blind deconvolution","volume":"7","author":"Bell","year":"1995","journal-title":"Neural Comput."},{"key":"ref_59","unstructured":"Yang, F., and Hong, B. (2006). Theory and Application of Independent Component Analysis, Tsinghua University Press."},{"key":"ref_60","first-page":"411","article-title":"Independent component analysis: Algorithms and applications","volume":"13","author":"Oja","year":"2000","journal-title":"Neural Comput."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1016\/j.rse.2014.10.023","article-title":"Extracting high temperature event radiance from satellite images and correcting for saturation using independent component analysis","volume":"158","author":"Barnie","year":"2015","journal-title":"Remote. Sens. Env."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"eaau2477","DOI":"10.1126\/sciadv.aau2477","article-title":"Tracking the weight of Hurricane Harvey\u2019s stormwater using GPS data","volume":"4","author":"Milliner","year":"2018","journal-title":"Sci. Adv."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"275","DOI":"10.1016\/j.tecto.2018.07.012","article-title":"Detecting rock uplift across southern Taiwan mountain belt by integrated GPS and leveling data","volume":"744","author":"Hsu","year":"2018","journal-title":"Tectonophysics"},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1016\/j.quaint.2005.09.007","article-title":"The contribution to tectonic subsidence by groundwater abstraction in the Pingtung area, southwestern Taiwan as determined by GPS measurements","volume":"147","author":"Hu","year":"2006","journal-title":"Quat. Int."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1093\/gji\/ggx302","article-title":"A new high-resolution model of non-tidal atmosphere and ocean mass variability for de-aliasing of satellite gravity observations: AOD1B RL06","volume":"211","author":"Dobslaw","year":"2017","journal-title":"Geophys. J. Int."},{"key":"ref_66","doi-asserted-by":"crossref","unstructured":"Petrov, L. (2015). The International Mass Loading Service. REFAG 2014, Springer.","DOI":"10.1007\/1345_2015_218"},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"409","DOI":"10.1029\/2003JB002500","article-title":"Study of the atmospheric pressure loading signal in very long baseline interferometry observations","volume":"109","author":"Petrov","year":"2004","journal-title":"J. Geophys. Res."},{"key":"ref_68","unstructured":"Rienecker, M., Suarez, M., Todling, R., Bacmeister, J., Takacs, L., Liu, H., Gu, W., Sienkiewicz, M., Koster, R., and Gelaro, R. (2008). The GEOS-5 Data Assimilation System: Documentation of Versions 5.0. 1, 5.1. 0, and 5.2. 0."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1007\/s00190-012-0605-0","article-title":"Fast error analysis of continuous GNSS observations with missing data","volume":"87","author":"Bos","year":"2013","journal-title":"J. Geod."},{"key":"ref_70","unstructured":"Rao, R. (2021, August 02). Noise in GPS coordinate time series II. Compilation by the Central Weather Bureau of the Ministry of Communications, (In Chinese)."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/21\/4221\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T07:20:08Z","timestamp":1760167208000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/21\/4221"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,21]]},"references-count":70,"journal-issue":{"issue":"21","published-online":{"date-parts":[[2021,11]]}},"alternative-id":["rs13214221"],"URL":"https:\/\/doi.org\/10.3390\/rs13214221","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,10,21]]}}}