{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T13:20:35Z","timestamp":1783084835985,"version":"3.54.6"},"reference-count":34,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2018,6,25]],"date-time":"2018-06-25T00:00:00Z","timestamp":1529884800000},"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":["41401493"],"award-info":[{"award-number":["41401493"]}],"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>Beijing is severely affected by land subsidence, and rapid urbanisation and building construction might accelerate the land subsidence process. Based on 39 Envisat Advanced Synthetic Aperture Radar (ASAR) images acquired between 2003\u20132010, 55 TerraSAR-X images acquired between 2010\u20132016, and urban building information, we analysed the relationship between land subsidence and buildings at the regional, block, and building scales. The results show that the surface displacement rate in the Beijing urban area ranged from \u2212109 mm\/year to +13 mm\/year between 2003\u20132010, and from \u2212151 mm\/year to +19 mm\/year between 2010\u20132016; two subsidence bowls were mainly distributed in the eastern part of the Chaoyang District. The displacement rate agreed well with the levelling measurements, with an average bias of less than six mm\/year. At the regional scale, the spatial pattern of land subsidence was mainly controlled by groundwater extraction, compressible layer thickness, and geological faults. Subsidence centres were located in the area around ground water funnels with a compressible layer depth of 50\u201370 m. The block-scale analysis demonstrated a clear correlation between the block construction age and the spatial unevenness of subsidence. The blocks constructed between 1998\u20132005 and after 2005 showed considerably more subsidence unevenness and temporal instability than the blocks constructed before 1998 during both time periods. The examination of the new blocks showed that the spatial unevenness increased with building volume variability. For the 16 blocks with a high building volume, variability, and subsidence unevenness, the building-scale analysis showed a positive relationship between building volume and settlement in most blocks, although the R2 was lower than 0.5. The results indicate that intense building construction in urban areas could cause differential settlement at the block scale in Beijing, while the settlement of single buildings could be influenced by the integrated effects of building volume, foundation structures, and the hydrogeological background.<\/jats:p>","DOI":"10.3390\/rs10071006","type":"journal-article","created":{"date-parts":[[2018,6,25]],"date-time":"2018-06-25T11:03:25Z","timestamp":1529924605000},"page":"1006","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":77,"title":["Multi-Scale Analysis of the Relationship between Land Subsidence and Buildings: A Case Study in an Eastern Beijing Urban Area Using the PS-InSAR Technique"],"prefix":"10.3390","volume":"10","author":[{"given":"Qin","family":"Yang","sequence":"first","affiliation":[{"name":"College of Resources Environment and Tourism, Capital Normal University, 105 North Road of the 3rd Ringroad, Haidian District, Beijing 100048, China"},{"name":"Laboratory Cultivation Base of Environment Process and Digital Simulation, Beijing 100048, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yinghai","family":"Ke","sequence":"additional","affiliation":[{"name":"College of Resources Environment and Tourism, Capital Normal University, 105 North Road of the 3rd Ringroad, Haidian District, Beijing 100048, China"},{"name":"Laboratory Cultivation Base of Environment Process and Digital Simulation, Beijing 100048, China"},{"name":"Beijing Laboratory of Water Resources Security, Beijing 100048, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dongyi","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Resources Environment and Tourism, Capital Normal University, 105 North Road of the 3rd Ringroad, Haidian District, Beijing 100048, China"},{"name":"Laboratory Cultivation Base of Environment Process and Digital Simulation, Beijing 100048, China"},{"name":"Beijing Laboratory of Water Resources Security, Beijing 100048, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Beibei","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Resources Environment and Tourism, Capital Normal University, 105 North Road of the 3rd Ringroad, Haidian District, Beijing 100048, China"},{"name":"Laboratory Cultivation Base of Environment Process and Digital Simulation, Beijing 100048, China"},{"name":"Beijing Laboratory of Water Resources Security, Beijing 100048, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huili","family":"Gong","sequence":"additional","affiliation":[{"name":"College of Resources Environment and Tourism, Capital Normal University, 105 North Road of the 3rd Ringroad, Haidian District, Beijing 100048, China"},{"name":"Laboratory Cultivation Base of Environment Process and Digital Simulation, Beijing 100048, China"},{"name":"Beijing Laboratory of Water Resources Security, Beijing 100048, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mingyuan","family":"Lv","sequence":"additional","affiliation":[{"name":"College of Resources Environment and Tourism, Capital Normal University, 105 North Road of the 3rd Ringroad, Haidian District, Beijing 100048, China"},{"name":"Laboratory Cultivation Base of Environment Process and Digital Simulation, Beijing 100048, China"},{"name":"Beijing Laboratory of Water Resources Security, Beijing 100048, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lin","family":"Zhu","sequence":"additional","affiliation":[{"name":"College of Resources Environment and Tourism, Capital Normal University, 105 North Road of the 3rd Ringroad, Haidian District, Beijing 100048, China"},{"name":"Laboratory Cultivation Base of Environment Process and Digital Simulation, Beijing 100048, China"},{"name":"Beijing Laboratory of Water Resources Security, Beijing 100048, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaojuan","family":"Li","sequence":"additional","affiliation":[{"name":"College of Resources Environment and Tourism, Capital Normal University, 105 North Road of the 3rd Ringroad, Haidian District, Beijing 100048, China"},{"name":"Laboratory Cultivation Base of Environment Process and Digital Simulation, Beijing 100048, China"},{"name":"Beijing Laboratory of Water Resources Security, Beijing 100048, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2018,6,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1016\/j.enggeo.2015.04.020","article-title":"Land subsidence due to groundwater withdrawal in the northern Beijing plain, China","volume":"193","author":"Zhu","year":"2015","journal-title":"Eng. Geol."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Chen, M., Tom\u00e1s, R., Li, Z.H., Motagh, M., Li, T., Hu, L.Y., Gong, H.L., Li, X.J., Yu, J., and Gong, X.L. (2016). Imaging Land Subsidence Induced by Groundwater Extraction in Beijing (China) Using Satellite Radar Interferometry. Remote Sens., 8.","DOI":"10.3390\/rs8060468"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"808","DOI":"10.1080\/01431161.2016.1259674","article-title":"Characterization and causes of land subsidence in Beijing, China","volume":"38","author":"Chen","year":"2017","journal-title":"Int. J. Remote Sens."},{"key":"ref_4","first-page":"2216","article-title":"Distribution characteristics and influence factors of land subsidence in Beijing area","volume":"6","author":"Lei","year":"2016","journal-title":"Geol. China"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"671","DOI":"10.1080\/15481603.2016.1227297","article-title":"Land subsidence under different land use in the eastern Beijing plain, China 2005\u20132013 revealed by InSAR timeseries analysis","volume":"53","author":"Zhou","year":"2016","journal-title":"GISci. Remote Sens."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Zhou, C., Gong, H., Chen, B., Li, J., Gao, M., Zhu, F., Chen, W., and Liang, Y. (2017). InSAR Time-Series Analysis of Land Subsidence under Different Land Use Types in the Eastern Beijing Plain, China. Remote Sens., 9.","DOI":"10.3390\/rs9040380"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1016\/j.tecto.2016.10.016","article-title":"InSAR time-series investigation of long-term ground displacement at Beijing Capital International Airport, China","volume":"691","author":"Gao","year":"2016","journal-title":"Tectonophysics"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1016\/j.pce.2010.01.002","article-title":"Resolving land subsidence within the Venice Lagoon by persistent scatterer SAR interferometry","volume":"40\u201341","author":"Teatini","year":"2012","journal-title":"Phys. Chem. Earth"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"797","DOI":"10.1080\/15481603.2017.1331511","article-title":"Land subsidence prediction in Beijing based on PS-InSAR technique and improved Grey-Markov model","volume":"54","author":"Deng","year":"2017","journal-title":"GISci. Remote Sens."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"3160","DOI":"10.1016\/j.rse.2008.03.008","article-title":"Subsidence induced by urbanisation in the city of Rome detected by advanced InSAR technique and geotechnical investigations","volume":"112","author":"Stramondo","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Solari, L., Ciampalini, A., Raspini, F., Bianchini, S., and Moretti, S. (2016). PSInSAR Analysis in the Pisa Urban Area (Italy): A Case Study of Subsidence Related to Stratigraphical Factors and Urbanization. Remote Sens., 8.","DOI":"10.3390\/rs8020120"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1016\/j.apgeog.2016.09.017","article-title":"Mapping interactions between geology, subsurface resource exploitation and urban development in transforming cities using InSAR Persistent Scatterers: Two decades of change in Florence, Italy","volume":"77","author":"Pratesi","year":"2016","journal-title":"Appl. Geogr."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Chen, G., Zhang, Y., Zeng, R.Q., Yang, Z.K., Chen, X., Zhao, F.M., and Meng, X.M. (2018). Detection of land subsidence associated with land creation and rapid urbanization in the Chinese Loess Plateau using Time Series InSAR: A case study of Lanzhou New District. Remote Sens.","DOI":"10.3390\/rs10020270"},{"key":"ref_14","first-page":"199","article-title":"Regional and local land subsidence at the Venice coastland by TerraSAR-X PSI","volume":"372","author":"Tosi","year":"2015","journal-title":"Proc. Int. Assoc. Hydrol. Sci."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Tosi, L., Da Lio, C., Strozzi, T., and Teatini, P. (2016). Combining L- and X-Band SAR Interferometry to Assess Ground Displacements in Heterogeneous Coastal Environments: The Po River Delta and Venice Lagoon, Italy. Remote Sens., 8.","DOI":"10.3390\/rs8040308"},{"key":"ref_16","first-page":"386","article-title":"Using PS-InSAR to detect surface deformation in geothermal areas of West Java in Indonesia","volume":"64","author":"Maghsoudi","year":"2018","journal-title":"Int. J. Appl. Earth Obs. Geoinform."},{"key":"ref_17","first-page":"5","article-title":"Subsidence Monitoring in Shanghai Using the PSInSAR Technique","volume":"33","author":"Liao","year":"2012","journal-title":"Shanghai Land Resour."},{"key":"ref_18","first-page":"713","article-title":"Application of High-resolution PS-InSAR in Deformation Characteristic Probe of Urban Rail Transit","volume":"45","author":"Qin","year":"2016","journal-title":"Acta Geod. Geophys. Sin."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1080\/15481603.2016.1257297","article-title":"Spatiotemporal evolution of land subsidence around a subway using InSAR time-series and the entropy method","volume":"54","author":"Chen","year":"2017","journal-title":"GISci. Remote Sens."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Solari, L., Ciampalini, A., Raspini, F., Bianchini, S., Zinno, I., Bonano, M., Manunta, M., Moretti, S., and Casagli, N. (2017). Combined Use of C- and X-Band SAR Data for Subsidence Monitoring in an Urban Area. Geosciences, 7.","DOI":"10.3390\/geosciences7020021"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1016\/j.apgeog.2015.01.009","article-title":"Localising deformation along the elevation of linear structures: An experiment with spaceborne InSAR and RTK GPS on the Roman Aqueducts in Rome, Italy","volume":"58","author":"Tapete","year":"2015","journal-title":"Appl. Geogr."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1007\/s00254-007-1009-y","article-title":"Application of grey theory-based model to prediction of land subsidence due to engineering environment in Shanghai","volume":"55","author":"Tang","year":"2008","journal-title":"Environ. Geol."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1819","DOI":"10.1007\/s12665-009-0163-9","article-title":"Centrifuge modeling of land subsidence caused by the high-rise building group in the soft soil area","volume":"59","author":"Cui","year":"2010","journal-title":"Environ. Earth Sci."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1255","DOI":"10.1007\/s11069-012-0220-7","article-title":"Analysis of urbanisation-induced land subsidence in Shanghai","volume":"63","author":"Xu","year":"2012","journal-title":"Nat. Hazards"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"2637","DOI":"10.1007\/s11069-014-1451-6","article-title":"Spatial correlation between land subsidence and urbanization in Beijing, China","volume":"75","author":"Chen","year":"2015","journal-title":"Nat. Hazards"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1765","DOI":"10.1007\/s11069-015-1674-1","article-title":"Spatial\u2013temporal evolution patterns of land subsidence with different situation of space utilization","volume":"77","author":"Chen","year":"2015","journal-title":"Nat. Hazards"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1080\/07038992.2017.1291335","article-title":"Assessing the Impact of Building Volume on Land Subsidence in the Central Business District of Beijing with SAR Tomography","volume":"43","author":"Jiao","year":"2017","journal-title":"Can. J. Remote Sens."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Hooper, A., Zebker, H., Segall, P., and Kampes, B. (2004). A new method for measuring deformation on volcanoes and other natural terrains using InSAR persistent scatterers. Geophys. Res. Lett., 31.","DOI":"10.1029\/2004GL021737"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"2202","DOI":"10.1109\/36.868878","article-title":"Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry","volume":"38","author":"Ferretti","year":"2000","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"3338","DOI":"10.1109\/TGRS.2006.877754","article-title":"High-accuracy urban DEM using permanent scatterers","volume":"44","author":"Perissin","year":"2006","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1181","DOI":"10.1016\/j.procs.2016.09.278","article-title":"Multi-Temporal InSAR Processing Comparison in Presence of High Topography","volume":"100","author":"Bakon","year":"2016","journal-title":"Procedia Comput. Sci."},{"key":"ref_32","first-page":"115","article-title":"Multi band InSAR analysis of subsidence development based on the long period time series","volume":"40","author":"Ustun","year":"2015","journal-title":"Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_33","unstructured":"Wu, A. (2014). Chinese Institute of Geological Environment Monitoring. China Groundwater Level Yearbook for Geo-Environmental Monitoring, China Land Press."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"677","DOI":"10.1007\/s12665-013-2990-y","article-title":"Time-series analysis of subsidence associated with rapid urbanization in Shanghai, China measured with SBAS InSAR method","volume":"72","author":"Dong","year":"2014","journal-title":"Environ. Earth Sci."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/7\/1006\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:10:01Z","timestamp":1760195401000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/10\/7\/1006"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,6,25]]},"references-count":34,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2018,7]]}},"alternative-id":["rs10071006"],"URL":"https:\/\/doi.org\/10.3390\/rs10071006","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,6,25]]}}}