{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T22:49:03Z","timestamp":1784242143342,"version":"3.55.0"},"reference-count":49,"publisher":"MDPI AG","issue":"15","license":[{"start":{"date-parts":[[2020,7,30]],"date-time":"2020-07-30T00:00:00Z","timestamp":1596067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Cities, the core of the global climate change and economic development, are high impact land cover land use change (LCLUC) hotspots. Comprehensive records of land cover land use dynamics in urban regions are essential for strategic climate change adaption and mitigation and sustainable urban development. This study aims to develop a Google Earth Engine (GEE) application for high-resolution (15-m) urban LCLUC mapping with a novel classification scheme using pan-sharpened Landsat images. With this approach, we quantified the annual LCLUC in Changchun, China, from 2000 to 2019, and detected the abrupt changes (turning points of LCLUC). Ancillary data on social-economic status were used to provide insights on potential drivers of LCLUC by examining their correlation with change rate. We also examined the impacts of LCLUC on environment, specifically air pollution. Using this approach, we can classify annual LCLUC in Changchun with high accuracy (all above 0.91). The change detection based on the high-resolution wall-to-wall maps show intensive urban expansion with the compromise of cropland from 2000 to 2019. We also found the growth of green space in urban regions as the result of green space development and management in recent years. The changing rate of different land types were the largest in the early years of the observation period. Turning points of land types were primarily observed in 2009 and 2010. Further analysis showed that economic and industry development and population migration collectively drove the urban expansion in Changchun. Increasing built-up areas could slow wind velocity and air exchange, and ultimately led to the accumulation of PM2.5. Our implement of pan-sharpened Landsat images facilitates the wall-to-wall mapping of temporal land dynamics at high spatial resolution. The primary use of GEE for mapping urban land makes it replicable and transferable by other users. This approach is a first crucial step towards understanding the drivers of change and supporting better decision-making for sustainable urban development and climate change mitigation.<\/jats:p>","DOI":"10.3390\/rs12152451","type":"journal-article","created":{"date-parts":[[2020,7,31]],"date-time":"2020-07-31T04:15:31Z","timestamp":1596168931000},"page":"2451","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":62,"title":["Recording Urban Land Dynamic and Its Effects during 2000\u20132019 at 15-m Resolution by Cloud Computing with Landsat Series"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1781-7848","authenticated-orcid":false,"given":"Yulin","family":"Dong","sequence":"first","affiliation":[{"name":"Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhibin","family":"Ren","sequence":"additional","affiliation":[{"name":"Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yao","family":"Fu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhenghong","family":"Miao","sequence":"additional","affiliation":[{"name":"Water and Hydraulic Survey and Planning Institute, Changchun 130021, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ran","family":"Yang","sequence":"additional","affiliation":[{"name":"College of Earth Sciences, Jilin University, Changchun 130012, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuanhe","family":"Sun","sequence":"additional","affiliation":[{"name":"Jilin Guoyao Geographic Information Technology Co., Ltd., Changchun 130061, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xingyuan","family":"He","sequence":"additional","affiliation":[{"name":"Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2020,7,30]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"756","DOI":"10.1126\/science.1150195","article-title":"Global change and the ecology of cities","volume":"319","author":"Grimm","year":"2008","journal-title":"Science"},{"key":"ref_2","unstructured":"UN (2019). World Urbanization Prospects: The 2018 Revision (ST\/ESA\/SER.A\/420), United Nations."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"943","DOI":"10.1126\/science.aaf7439","article-title":"Hidden linkages between urbanization and food systems","volume":"352","author":"Seto","year":"2016","journal-title":"Science"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/j.progress.2011.04.001","article-title":"The dimensions of global urban expansion: Estimates and projections for all countries, 2000\u20132050","volume":"75","author":"Angel","year":"2011","journal-title":"Prog. Plann."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"472","DOI":"10.1038\/461472a","article-title":"A safe operating space for humanity","volume":"461","author":"Rockstrom","year":"2009","journal-title":"Nature"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Liu, X., Huang, Y., Xu, X., Li, X., Li, X., Ciais, P., Lin, P., Gong, K., Ziegler, A.D., and Chen, A. (2020). High-spatiotemporal-resolution mapping of global urban change from 1985 to 2015. Nat. Sustain.","DOI":"10.1038\/s41893-020-0521-x"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"755","DOI":"10.1038\/s41893-019-0340-0","article-title":"Direct and indirect loss of natural area from urban expansion","volume":"2","year":"2019","journal-title":"Nat. Sustain."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"135828","DOI":"10.1016\/j.scitotenv.2019.135828","article-title":"A comparative analysis of urban impervious surface and green space and their dynamics among 318 different size cities in China in the past 25 years","volume":"706","author":"Dou","year":"2020","journal-title":"Sci. Total Environ."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"104747","DOI":"10.1016\/j.landusepol.2020.104747","article-title":"National urban land-use\/cover change since the beginning of the 21st century and its policy implications in China","volume":"97","author":"Kuang","year":"2020","journal-title":"Land Use Policy"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1016\/j.landurbplan.2014.08.015","article-title":"A comparative analysis of megacity expansions in China and the U.S.: Patterns, rates and driving forces","volume":"132","author":"Kuang","year":"2014","journal-title":"Landsc. Urban Plan."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"111510","DOI":"10.1016\/j.rse.2019.111510","article-title":"Annual maps of global artificial impervious area (GAIA) between 1985 and 2018","volume":"236","author":"Gong","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Phiri, D., and Morgenroth, J. (2017). Developments in Landsat Land Cover Classification Methods: A Review. Remote Sens., 9.","DOI":"10.3390\/rs9090967"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"111374","DOI":"10.1016\/j.rse.2019.111374","article-title":"Assessing spatial-temporal dynamics of urban expansion, vegetation greenness and photosynthesis in megacity Shanghai, China during 2000\u20132016","volume":"233","author":"Zhong","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Zhao, Y., Feng, D., Yu, L., Cheng, Y., Zhang, M., Liu, X., Xu, Y., Fang, L., Zhu, Z., and Gong, P. (2019). Long-Term Land Cover Dynamics (1986\u20132016) of Northeast China Derived from a Multi-Temporal Landsat Archive. Remote Sens., 11.","DOI":"10.3390\/rs11050599"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"111739","DOI":"10.1016\/j.rse.2020.111739","article-title":"A systematic review and assessment of algorithms to detect, characterize, and monitor urban land change","volume":"242","author":"Reba","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"868","DOI":"10.3390\/f4040868","article-title":"Estimation of the Relationship between Urban Park Characteristics and Park Cool Island Intensity by Remote Sensing Data and Field Measurement","volume":"4","author":"Ren","year":"2013","journal-title":"Forests"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"438","DOI":"10.1016\/j.envint.2019.05.010","article-title":"Changes in spatio-temporal patterns of urban forest and its above-ground carbon storage: Implication for urban CO2 emissions mitigation under China\u2019s rapid urban expansion and greening","volume":"129","author":"Ren","year":"2019","journal-title":"Environ. Int."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1545","DOI":"10.1016\/j.scitotenv.2016.06.248","article-title":"Mortality effects assessment of ambient PM2.5 pollution in the 74 leading cities of China","volume":"569","author":"Fang","year":"2016","journal-title":"Sci. Total Environ."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"104715","DOI":"10.1016\/j.landusepol.2020.104715","article-title":"How cropland losses shaped by unbalanced urbanization process?","volume":"96","author":"Qiu","year":"2020","journal-title":"Land Use Policy"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"660","DOI":"10.1016\/j.scitotenv.2016.10.107","article-title":"Urban expansion brought stress to food security in China: Evidence from decreased cropland net primary productivity","volume":"576","author":"He","year":"2017","journal-title":"Sci. Total Environ."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1572","DOI":"10.1016\/j.scitotenv.2018.01.335","article-title":"The rapid but \"invisible\" changes in urban greenspace: A comparative study of nine Chinese cities","volume":"627","author":"Zhou","year":"2018","journal-title":"Sci. Total Environ."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.rse.2017.06.031","article-title":"Google Earth Engine: Planetary-scale geospatial analysis for everyone","volume":"202","author":"Gorelick","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"810","DOI":"10.1038\/nclimate3111","article-title":"Earth\u2019s surface water change over the past 30 years","volume":"6","author":"Donchyts","year":"2016","journal-title":"Nat. Clim. Chang."},{"key":"ref_24","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_25","doi-asserted-by":"crossref","first-page":"370","DOI":"10.1016\/j.scib.2019.03.002","article-title":"Stable classification with limited sample: Transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017","volume":"64","author":"Gong","year":"2019","journal-title":"Sci. Bull."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Pan, T., Kuang, W., Hamdi, R., Zhang, C., Zhang, S., Li, Z., and Chen, X. (2019). City-Level Comparison of Urban Land-Cover Configurations from 2000-2015 across 65 Countries within the Global Belt and Road. Remote Sens., 11.","DOI":"10.3390\/rs11131515"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1016\/j.compag.2016.12.006","article-title":"Effect of pan-sharpening multi-temporal Landsat 8 imagery for crop type differentiation using different classification techniques","volume":"134","author":"Gilbertson","year":"2017","journal-title":"Comput. Electron. Agric."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1016\/j.inffus.2018.05.006","article-title":"Review of the pansharpening methods for remote sensing images based on the idea of meta-analysis: Practical discussion and challenges","volume":"46","author":"Meng","year":"2019","journal-title":"Inf. Fusion"},{"key":"ref_29","unstructured":"Google (2020, May 21). Spectral Transformations. Available online: https:\/\/developers.google.com\/earth-engine\/image_transforms."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Chen, L., Ren, C., Zhang, B., Wang, Z., and Liu, M. (2018). Quantifying Urban Land Sprawl and its Driving Forces in Northeast China from 1990 to 2015. Sustainability, 10.","DOI":"10.3390\/su10010188"},{"key":"ref_31","first-page":"1877","article-title":"Urban structural evolution over a century in Changchun city, Northeast China","volume":"28","author":"Kuang","year":"2018","journal-title":"J. Geogr. Sci."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"543","DOI":"10.1080\/15481603.2020.1744240","article-title":"Mapping impervious surface distribution in China using multi-source remotely sensed data","volume":"57","author":"Li","year":"2020","journal-title":"GISci. Remote Sens."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/j.rse.2015.12.024","article-title":"Characterization of Landsat-7 to Landsat-8 reflective wavelength and normalized difference vegetation index continuity","volume":"185","author":"Roy","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"117961","DOI":"10.1016\/j.jclepro.2019.117961","article-title":"Diverse policies leading to contrasting impacts on land cover and ecosystem services in Northeast China","volume":"240","author":"Mao","year":"2019","journal-title":"J. Clean. Prod."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"7221","DOI":"10.1007\/s12665-014-3901-6","article-title":"Quantifying spatiotemporal patterns of urban expansion in three capital cities in Northeast China over the past three decades using satellite data sets","volume":"73","author":"Sun","year":"2015","journal-title":"Environ. Earth Sci."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"286","DOI":"10.1016\/j.rse.2016.08.029","article-title":"An \"exclusion-inclusion\" framework for extracting human settlements in rapidly developing regions of China from Landsat images","volume":"186","author":"Li","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"73623","DOI":"10.1109\/ACCESS.2020.2988122","article-title":"Spatiotemporal Patterns of Forest Changes in Korean Peninsula Using Landsat Images During 1990\u20132015: A Comparative Study of Two Neighboring Countries","volume":"8","author":"Dong","year":"2020","journal-title":"IEEE Access"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"083686","DOI":"10.1117\/1.JRS.8.083686","article-title":"Object-based approach to national land cover mapping using HJ satellite imagery","volume":"8","author":"Zhang","year":"2014","journal-title":"J. Appl. Remote Sens."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1016\/j.landurbplan.2018.10.015","article-title":"Quantifying the cooling-effects of urban and peri-urban wetlands using remote sensing data: Case study of cities of Northeast China","volume":"182","author":"Xue","year":"2019","journal-title":"Landsc. Urban Plan."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1109\/TSMC.1979.4310076","article-title":"Threshold Selection Method from Gray-Level Histograms","volume":"9","author":"Otsu","year":"1979","journal-title":"IEEE Trans. Syst. Man. Cybern."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Venkatappa, M., Sasaki, N., Shrestha, R.P., Tripathi, N.K., and Ma, H.-O. (2019). Determination of Vegetation Thresholds for Assessing Land Use and Land Use Changes in Cambodia Using the Google Earth Engine Cloud-Computing Platform. Remote Sens., 11.","DOI":"10.3390\/rs11131514"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"721","DOI":"10.1016\/j.scitotenv.2017.06.245","article-title":"Characterizing spatiotemporal dynamics in phenology of urban ecosystems based on Landsat data","volume":"605","author":"Li","year":"2017","journal-title":"Sci. Total Environ."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.rse.2014.02.015","article-title":"Good practices for estimating area and assessing accuracy of land change","volume":"148","author":"Olofsson","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_44","first-page":"126","article-title":"A Non-Parametric Approach to the Change-Point Problem","volume":"28","author":"Pettitt","year":"1979","journal-title":"J. R. Stat. Soc. Ser. C (Appl. Stat.)"},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Verstraeten, G., Poesen, J., Demar\u00e9e, G., and Salles, C. (2006). Long-term (105 years) variability in rain erosivity as derived from 10-min rainfall depth data for Ukkel (Brussels, Belgium): Implications for assessing soil erosion rates. J. Geophys. Res. Atmos., 111.","DOI":"10.1029\/2006JD007169"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"3762","DOI":"10.1021\/acs.est.5b05833","article-title":"Global Estimates of Fine Particulate Matter using a Combined Geophysical-Statistical Method with Information from Satellites, Models, and Monitors","volume":"50","author":"Martin","year":"2016","journal-title":"Environ. Sci. Technol."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"2784","DOI":"10.1080\/01431161.2018.1433343","article-title":"Implementation of machine-learning classification in remote sensing: An applied review","volume":"39","author":"Maxwell","year":"2018","journal-title":"Int. J. Remote Sens."},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Tropek, R., Sedlacek, O., Beck, J., Keil, P., Musilova, Z., Simova, I., and Storch, D. (2014). Comment on \u201cHigh-resolution global maps of 21st-century forest cover change\u201d. Science, 344.","DOI":"10.1126\/science.1248753"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"9600","DOI":"10.1021\/acs.est.5b00065","article-title":"Spatial and Temporal Dimensions of Urban Expansion in China","volume":"49","author":"Zhao","year":"2015","journal-title":"Environ. Sci. Technol."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/15\/2451\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T09:53:02Z","timestamp":1760176382000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/15\/2451"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7,30]]},"references-count":49,"journal-issue":{"issue":"15","published-online":{"date-parts":[[2020,8]]}},"alternative-id":["rs12152451"],"URL":"https:\/\/doi.org\/10.3390\/rs12152451","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,7,30]]}}}