{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T13:33:16Z","timestamp":1781616796252,"version":"3.54.5"},"reference-count":54,"publisher":"MDPI AG","issue":"20","license":[{"start":{"date-parts":[[2021,10,10]],"date-time":"2021-10-10T00:00:00Z","timestamp":1633824000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100016270","name":"Global Challenges Research Fund","doi-asserted-by":"publisher","award":["ES\/P011020\/1"],"award-info":[{"award-number":["ES\/P011020\/1"]}],"id":[{"id":"10.13039\/100016270","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>China\u2019s resource-based cities have made tremendous contributions to national and local economic growth and urban development over the last seven decades. Recently, such cities have been in transition from resource-centered development towards human-oriented urbanization to meet the requirements of long-term sustainability for the natural environment and human society. A good understanding of urban expansion and evolution as a consequence of urbanization has important implications for future urban and regional planning. Using a series of remote sensing (RS) images and geographical information system (GIS)-based spatial analyses, this research explores how a typical resource-based mining city, Datong, has expanded and evolved over the last two decades (2000\u20132018), with a reflection on the role of urban planning and development policies in driving the spatial transformation of Datong. The RS images were provided and processed by the Google Earth Engine (GEE) platform. Spatial cluster analysis approaches were employed to examine the spatial patterns of urban expansion. The results indicate that the area of urban construction land increased by 132.6% during the study period, mainly along with the Chengqu District, the Mining Area, and in the southeast of the Nanjiao District, where most new towns are located. Reflection on the factors that influence urban expansion shows that terrain, urban planning policies, and social economy are driving Datong\u2019s urban development.<\/jats:p>","DOI":"10.3390\/rs13204045","type":"journal-article","created":{"date-parts":[[2021,10,10]],"date-time":"2021-10-10T21:37:49Z","timestamp":1633901869000},"page":"4045","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Expansion and Evolution of a Typical Resource-Based Mining City in Transition Using the Google Earth Engine: A Case Study of Datong, China"],"prefix":"10.3390","volume":"13","author":[{"given":"Minghui","family":"Xue","sequence":"first","affiliation":[{"name":"College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China"},{"name":"Center for Geospatial Intelligence and Watershed Science, Hohai University, Nanjing 210098, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoxiang","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China"},{"name":"Center for Geospatial Intelligence and Watershed Science, Hohai University, Nanjing 210098, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuan","family":"Sun","sequence":"additional","affiliation":[{"name":"Laboratory of Computational Social Science, Nankai University, Tianjin 300350, China"},{"name":"Zhou Enlai School of Government, Nankai University, Tianjin 300350, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0100-7867","authenticated-orcid":false,"given":"Tao","family":"Sun","sequence":"additional","affiliation":[{"name":"Laboratory of Computational Social Science, Nankai University, Tianjin 300350, China"},{"name":"Zhou Enlai School of Government, Nankai University, Tianjin 300350, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanfei","family":"Yang","sequence":"additional","affiliation":[{"name":"College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China"},{"name":"Center for Geospatial Intelligence and Watershed Science, Hohai University, Nanjing 210098, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2021,10,10]]},"reference":[{"key":"ref_1","unstructured":"NBSC (2020). China Statistical Yearbook-2020."},{"key":"ref_2","unstructured":"NBSC (2000). China Statistical Yearbook-2000."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"905","DOI":"10.1080\/02723638.2015.1067409","article-title":"Planning Beijing: Socialist city, transitional city, and global city","volume":"36","author":"Gu","year":"2015","journal-title":"Urban. Geogr."},{"key":"ref_4","unstructured":"Wei, Y.D. (2000). Regional Development in China: States, Globalization and Inequality, Routledge."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"338","DOI":"10.1080\/00330124.2015.1099189","article-title":"Emerging Chinese Cities: Implications for Global Urban Studies","volume":"68","author":"Wu","year":"2016","journal-title":"Prof. Geogr."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Healey, P. (2006). Urban Complexity and Spatial Strategies: Towards a Relational Planning for Our Times, Routledge.","DOI":"10.4324\/9780203099414"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"3473","DOI":"10.1080\/014311600750037507","article-title":"Dynamics of urban growth in the Washington DC metropolitan area, 1973\u20131996, from Landsat observations","volume":"21","author":"Masek","year":"2000","journal-title":"Int. J. Remote Sens."},{"key":"ref_8","first-page":"1","article-title":"Urban Expansion Pattern and Land Use Dynamics in Dhaka, 1989\u20132014","volume":"69","author":"Morshed","year":"2016","journal-title":"Prof. Geogr."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"274","DOI":"10.1016\/j.habitatint.2015.11.040","article-title":"Urban land expansion and the transitional mechanisms in Nanjing, China","volume":"53","author":"Chen","year":"2016","journal-title":"Habitat Int."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"106200","DOI":"10.1016\/j.ecolind.2020.106200","article-title":"Urban spatial growth modeling using logistic regression and cellular automata: A case study of Hangzhou","volume":"113","author":"Cao","year":"2020","journal-title":"Ecol. Indic."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/j.landurbplan.2014.10.010","article-title":"A comparative study of urban expansion in Beijing, Tianjin and Shijiazhuang over the past three decades","volume":"134","author":"Wu","year":"2015","journal-title":"Landsc. Urban. Plan."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"3239471","DOI":"10.1155\/2020\/3239471","article-title":"Geospatial analysis of urban expansion using remote sensing methods and data: A case study of Yangtze River Delta, China","volume":"2020","author":"Sun","year":"2020","journal-title":"Complexity"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"871","DOI":"10.1007\/s10980-005-5238-8","article-title":"Quantifying spatiotemporal patterns of urban land-use change in four cities of China with time series landscape metrics","volume":"20","author":"Seto","year":"2005","journal-title":"Landsc. Ecol."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1016\/j.apgeog.2017.06.004","article-title":"Multi-faceted land cover and land use change analyses in the Yellow River Basin based on dense Landsat time series: Exemplary analysis in mining, agriculture, forest, and urban areas","volume":"85","author":"Wohlfart","year":"2017","journal-title":"Appl. Geogr."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1010","DOI":"10.1007\/s12517-021-07275-0","article-title":"Climatic data analysis and computer data simulation of inland cities based on cloud computing and remote sensing images","volume":"14","author":"Zhou","year":"2021","journal-title":"Arab. J. Geosci."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1007\/s11442-021-1846-8","article-title":"Analysis of ecological quality in Lhasa Metropolitan Area during 1990\u20132017 based on remote sensing and Google Earth engine platform","volume":"31","author":"Huang","year":"2021","journal-title":"J. Geogr. Sci."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"352","DOI":"10.1016\/j.rse.2019.02.011","article-title":"Identifying historic river ice breakup timing using MODIS and Google Earth Engine in support of operational flood monitoring in Northern Ontario","volume":"224","author":"Beaton","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Liu, Z., Liu, H., Luo, C., Yang, H., Meng, X., Ju, Y., and Guo, D. (2020). rapid extraction of regional-scale agricultural disasters by the standardized monitoring model based on Google Earth engine. Sustainability, 12.","DOI":"10.20944\/preprints202007.0072.v1"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1495","DOI":"10.5194\/nhess-21-1495-2021","article-title":"HazMapper: A global open-source natural hazard mapping application in Google Earth Engine","volume":"21","author":"Scheip","year":"2021","journal-title":"Nat. Hazards Earth Syst. Sci."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1016\/j.isprsjprs.2020.04.001","article-title":"Google Earth Engine for geo-big data ap-plications: A meta-analysis and systematic review","volume":"164","author":"Tamiminia","year":"2020","journal-title":"ISPRS J. of Photogramm."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"111317","DOI":"10.1016\/j.rse.2019.111317","article-title":"Using Landsat observations (1988\u20132017) and Google Earth Engine to detect vegetation cover changes in rangelands\u2014A first step towards identifying degraded lands for conservation","volume":"232","author":"Xie","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Brovelli, M.A., Sun, Y., and Yordanov, V. (2020). Monitoring forest change in the Amazon using multi-temporal remote sensing data and machine learning classification on Google Earth engine. ISPRS Int. J. Geo-Inform., 9.","DOI":"10.3390\/ijgi9100580"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"687","DOI":"10.1080\/2150704X.2020.1757780","article-title":"Combined use of Sentinel-2 and Landsat 8 to monitor water surface area dynamics using Google Earth engine","volume":"11","author":"Yang","year":"2020","journal-title":"Remote Sens. Lett."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"8350","DOI":"10.1029\/2019WR025500","article-title":"Tracking multidecadal lake water dynamics with landsat imagery and topography\/bathymetry","volume":"55","author":"Weekley","year":"2019","journal-title":"Water Resour. Res."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1944","DOI":"10.1016\/S2095-3119(20)63329-9","article-title":"Monthly composites from Sentinel-1 and Sentinel-2 images for regional major crop mapping with Google Earth Engine","volume":"20","author":"Luo","year":"2021","journal-title":"J. Integr. Agric."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1016\/j.rse.2016.02.016","article-title":"Mapping paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine","volume":"185","author":"Dong","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1007\/s11769-020-1119-y","article-title":"A synthesizing land-cover classification method based on Google Earth engine: A case study in Nzhelele and Levhuvu Catchments, South Africa","volume":"30","author":"Zeng","year":"2020","journal-title":"Chin. Geogr. Sci."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Zhang, D.-D., and Zhang, L. (2020). Land cover change in the central region of the Lower Yangtze river based on landsat imagery and the Google Earth engine: A case study in Nanjing, China. Sensors, 20.","DOI":"10.3390\/s20072091"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Zhang, J., Yu, L., Li, X., Zhang, C., Shi, T., Wu, X., Yang, C., Gao, W., Li, Q., and Wu, G. (2020). Exploring annual urban expansions in the Guangdong-Hong Kong-Macau Greater Bay area: Spatiotemporal features and driving factors in 1986\u20132017. Remote Sens., 12.","DOI":"10.3390\/rs12162615"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"04020026","DOI":"10.1061\/(ASCE)UP.1943-5444.0000584","article-title":"Monitoring urban expansion as a result of refugee fluxes in north jordan using remote sensing techniques","volume":"146","author":"Shatnawi","year":"2020","journal-title":"J. Urban. Plan. Dev."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"146015","DOI":"10.1016\/j.scitotenv.2021.146015","article-title":"Monitoring long-term annual urban expansion (1986\u20132017) in the largest archipelago of China","volume":"776","author":"Cao","year":"2021","journal-title":"Sci. Total Environ."},{"key":"ref_32","unstructured":"Datong City Statistics Bureau, and National Bureau of Statistics Datong Investigation Team (2018). Datong Statistical Yearbook (2018)."},{"key":"ref_33","first-page":"551","article-title":"Concepts and key techniques for 30m globale land cover mapping","volume":"43","author":"Chen","year":"2014","journal-title":"Acta Geod. Cartogr. Sin."},{"key":"ref_34","unstructured":"Breiman, L., Friedman, J., Stone, C.J., and Olshen, R.A. (1984). Classification and Regression Trees, Chapman and Hall."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"5951","DOI":"10.3390\/su11215951","article-title":"Mapping cropland abandonment in mountainous areas using an annual land-use trajectory approach","volume":"11","author":"Wei","year":"2019","journal-title":"Sustainability"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"12279","DOI":"10.1038\/s41598-019-48586-3","article-title":"Intensity and stationarity analysis of land use change based on CART algorithm","volume":"9","author":"Sang","year":"2019","journal-title":"Sci. Rep."},{"key":"ref_37","first-page":"573","article-title":"Land change patterns and driving mechanism in Beijing Since 1990 based on GEE platform","volume":"33","author":"Hu","year":"2018","journal-title":"Remote Sens. Technol. Appl."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1080\/01431160304987","article-title":"Use of normalized difference built-up index in automatically mapping urban areas from TM imagery","volume":"24","author":"Zha","year":"2003","journal-title":"Int. J. Remote Sens."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"159","DOI":"10.2307\/2529310","article-title":"The measurement of observer agreement for categorical data","volume":"33","author":"Landis","year":"1977","journal-title":"Biometrics"},{"key":"ref_40","first-page":"527","article-title":"Remote sensing monitoring and spatiotemporal pattern of land use\/cover change in built-up area of Tianjin in the past 70 years","volume":"35","author":"Li","year":"2020","journal-title":"Remote Sens. Technol. Appl."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Li, S., He, Y., Xu, H., Zhu, C., Dong, B., Lin, Y., Si, B., Deng, J., and Wang, K. (2021). Impacts of urban expansion forms on ecosystem services in urban agglomerations: A case study of Shanghai-Hangzhou Bay urban agglomeration. Remote Sens., 13.","DOI":"10.3390\/rs13101908"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1007\/s11442-020-1729-4","article-title":"Urban expansion patterns and their driving forces based on the center of gravity-GTWR model: A case study of the Beijing-Tianjin-Hebei urban agglomeration","volume":"30","author":"Wang","year":"2020","journal-title":"J. Geogr. Sci."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1093\/biomet\/37.1-2.17","article-title":"Notes on continuous stochastic phenomena","volume":"37","author":"Moran","year":"1950","journal-title":"Biometrika"},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Pan, P., Sun, Y., Ouyang, X., Zang, H., Rao, J., and Ning, J. (2019). Factors affecting spatial variation in vegetation carbon density in Pinus massoniana Lamb. Forest in Subtropical China. Forests, 10.","DOI":"10.3390\/f10100880"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1111\/j.1538-4632.1995.tb00338.x","article-title":"Local indicators of spatial association\u2014LISA","volume":"27","author":"Anselin","year":"1995","journal-title":"Geogr. Anal."},{"key":"ref_46","first-page":"909","article-title":"Spatial distribution of land use and its relationship with terrain factors in hilly area","volume":"34","author":"Ha","year":"2015","journal-title":"Geogr. Res."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"531","DOI":"10.1007\/s11442-016-1284-1","article-title":"Spatiotemporal measurement of urbanization levels based on multiscale units: A case study of the Bohai Rim Region in China","volume":"26","author":"Zhao","year":"2016","journal-title":"J. Geogr. Sci."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"141270","DOI":"10.1016\/j.scitotenv.2020.141270","article-title":"Rapid urbanization and its driving mechanism in the Pan-Third Pole region","volume":"750","author":"Luan","year":"2021","journal-title":"Sci. Total Environ."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"426","DOI":"10.1016\/j.landusepol.2017.06.002","article-title":"Measuring urban sprawl and exploring the role planning plays: A shanghai case study","volume":"67","author":"Tian","year":"2017","journal-title":"Land Use Policy"},{"key":"ref_50","unstructured":"(2021, July 16). Central People\u2019s Government of the People\u2019s Republic of China, (In Chinese)."},{"key":"ref_51","unstructured":"Pan, H. (Datong Daily, 2008). Preparations for the protection and restoration of the ancient city, Datong Daily, (In Chinese)."},{"key":"ref_52","unstructured":"Wang, Y. (Datong Daily, 2016). The city plans to transform 74 old residential areas in urban areas this year, Datong Daily, (In Chinese)."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1177\/0975425319863928","article-title":"City profile: Datong, China","volume":"10","author":"Li","year":"2019","journal-title":"Environ. Urban. ASIA"},{"key":"ref_54","first-page":"365","article-title":"RS and GIS-based urban expansion in Nantong area, China: Pattern, characteristic and dring force variance","volume":"26","author":"Yang","year":"2011","journal-title":"Remote Sens. Technol. Appl."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/20\/4045\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T07:11:23Z","timestamp":1760166683000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/20\/4045"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,10]]},"references-count":54,"journal-issue":{"issue":"20","published-online":{"date-parts":[[2021,10]]}},"alternative-id":["rs13204045"],"URL":"https:\/\/doi.org\/10.3390\/rs13204045","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,10,10]]}}}