{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T04:12:50Z","timestamp":1776831170692,"version":"3.51.2"},"reference-count":58,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2015,8,10]],"date-time":"2015-08-10T00:00:00Z","timestamp":1439164800000},"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>Urban areas are one of the most important components of human society. Their extents have been continuously growing during the last few decades. Accurate and timely measurements of the extents of urban areas can help in analyzing population densities and urban sprawls and in studying environmental issues related to urbanization. Urban extents detected from remotely sensed data are usually a by-product of land use classification results, and their interpretation requires a full understanding of land cover types. In this study, for the first time, we mapped urban extents in the continental United States using a novel one-class classification method, i.e., positive and unlabeled learning (PUL), with multi-temporal Moderate Resolution Imaging Spectroradiometer (MODIS) data for the year 2010. The Defense Meteorological Satellite Program Operational Linescan System (DMSP-OLS) night stable light data were used to calibrate the urban extents obtained from the one-class classification scheme. Our results demonstrated the effectiveness of the use of the PUL algorithm in mapping large-scale urban areas from coarse remote-sensing images, for the first time. The total accuracy of mapped urban areas was 92.9% and the kappa coefficient was 0.85. The use of DMSP-OLS night stable light data can significantly reduce false detection rates from bare land and cropland far from cities. Compared with traditional supervised classification methods, the one-class classification scheme can greatly reduce the effort involved in collecting training datasets, without losing predictive accuracy.<\/jats:p>","DOI":"10.3390\/rs70810143","type":"journal-article","created":{"date-parts":[[2015,8,10]],"date-time":"2015-08-10T11:15:00Z","timestamp":1439205300000},"page":"10143-10163","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":39,"title":["Mapping US Urban Extents from MODIS Data Using One-Class Classification Method"],"prefix":"10.3390","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2387-5419","authenticated-orcid":false,"given":"Bo","family":"Wan","sequence":"first","affiliation":[{"name":"Faculty of Information Engineering, China University of Geosciences, No. 388 Lumo Road,  Wuhan 430074, China"},{"name":"Sierra Nevada Research Institute, School of Engineering, University of California at Merced,  5200 North Lake Road, Merced, CA 95343, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qinghua","family":"Guo","sequence":"additional","affiliation":[{"name":"Sierra Nevada Research Institute, School of Engineering, University of California at Merced,  5200 North Lake Road, Merced, CA 95343, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fang","family":"Fang","sequence":"additional","affiliation":[{"name":"Faculty of Information Engineering, China University of Geosciences, No. 388 Lumo Road,  Wuhan 430074, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanjun","family":"Su","sequence":"additional","affiliation":[{"name":"Sierra Nevada Research Institute, School of Engineering, University of California at Merced,  5200 North Lake Road, Merced, CA 95343, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Run","family":"Wang","sequence":"additional","affiliation":[{"name":"Faculty of Information Engineering, China University of Geosciences, No. 388 Lumo Road,  Wuhan 430074, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2015,8,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1849","DOI":"10.1002\/joc.1604","article-title":"Cities as agents of global change","volume":"27","author":"Mills","year":"2007","journal-title":"Int. J. Climatol."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"570","DOI":"10.1126\/science.1111772","article-title":"Global consequences of land use","volume":"309","author":"Foley","year":"2005","journal-title":"Science"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"168","DOI":"10.1016\/j.rse.2009.08.016","article-title":"MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets","volume":"114","author":"Friedl","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_4","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_5","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1016\/j.landurbplan.2014.01.018","article-title":"Urban ecology and sustainability: The state-of-the-science and future directions","volume":"125","author":"Wu","year":"2014","journal-title":"Landsc. Urban Plan."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1016\/j.rse.2014.03.012","article-title":"Enhancing MODIS land cover product with a spatial-temporal modeling algorithm","volume":"147","author":"Cai","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"2607","DOI":"10.1080\/01431161.2012.748992","article-title":"Finer resolution observation and monitoring of global land cover: First mapping results with Landsat TM and ETM+ data","volume":"34","author":"Gong","year":"2013","journal-title":"Int. J. Remote Sens."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1733","DOI":"10.1016\/j.rse.2010.03.003","article-title":"Mapping global urban areas using MODIS 500-m data: New methods and datasets based on \u201curban ecoregions\u201d","volume":"114","author":"Schneider","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1303","DOI":"10.1080\/014311600210191","article-title":"Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data","volume":"21","author":"Loveland","year":"2000","journal-title":"Int. J. Remote Sens."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1959","DOI":"10.1080\/01431160412331291297","article-title":"GLC2000: A new approach to global land cover mapping from Earth observation data","volume":"26","author":"Bartholome","year":"2005","journal-title":"Int. J. Remote Sens."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Arino, O., Gross, D., Ranera, F., Leroy, M., Bicheron, P., Brockman, C., Latham, J., di Gregorio, A., Brockman, C., and Witt, R. (2007, January 23\u201328). GlobCover: ESA service for global land cover from MERIS. Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2007, Barcelona, Spain.","DOI":"10.1109\/IGARSS.2007.4423328"},{"key":"ref_12","unstructured":"Bontemps, S., Defourny, P., Bogaert, E.V., Arino, O., Kalogirou, V., and Rerez, J.E. GLOBCOVER 2009\u2014Products Description and Validation Reports. Available online: http:\/\/ionia1.esrin.esa.int\/docs\/GLOBCOVER2009_Validation_Report_2.2.pdf."},{"key":"ref_13","unstructured":"CIESIN, Center for International Earth Science Information Network Global Rural-Urban Mapping Project (GRUMP), Alpha Version: Urban Extents. Available online: http:\/\/sedac.ciesin.columbia.edu\/gpw."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Schneider, A., Friedl, M.A., and Potere, D. (2009). A new map of global urban extent from MODIS satellite data. Environ. Res. Lett., 4.","DOI":"10.1088\/1748-9326\/4\/4\/044003"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1377","DOI":"10.14358\/PERS.69.12.1377","article-title":"Mapping urban areas by fusing multiple sources of coarse resolution remotely sensed data","volume":"69","author":"Schneider","year":"2003","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Yu, L., Wang, J., Li, X.C., Li, C.C., Zhao, Y.Y., and Gong, P. (2014). A multi-resolution global land cover dataset through multisource data aggregation. Sci. China: Earth Sci.","DOI":"10.1007\/s11430-014-4919-z"},{"key":"ref_17","first-page":"650","article-title":"Completion of the 1990\u2019s national land cover data set for the conterminous United States","volume":"67","author":"Vogelmann","year":"2001","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_18","first-page":"858","article-title":"Completion of the 2006 national land cover database for the conterminous United States","volume":"77","author":"Fry","year":"2011","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_19","first-page":"337","article-title":"Completion of the 2001 national land cover database for the conterminous United States","volume":"73","author":"Homer","year":"2007","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_20","first-page":"345","article-title":"Completion of the 2011 national land cover database for the conterminous United States-Representing a decade of land cover change information","volume":"81","author":"Homer","year":"2015","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"2683","DOI":"10.1109\/TGRS.2007.897425","article-title":"A support vector domain description approach to supervised classification of remote sensing images","volume":"45","author":"Bruzzone","year":"2007","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"595","DOI":"10.14358\/PERS.78.6.595","article-title":"A framework for supervised image classification with incomplete training samples","volume":"78","author":"Guo","year":"2012","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1297","DOI":"10.1080\/01431160802508985","article-title":"Extraction of urban impervious surfaces from an IKONOS image","volume":"30","author":"Lu","year":"2009","journal-title":"Int. J. Remote Sens."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rse.2006.03.004","article-title":"Training set size requirements for the classification of a specific class","volume":"104","author":"Foody","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1697","DOI":"10.1080\/13658816.2010.546360","article-title":"Predicting potential distributions of geographic events using one-class data: Concepts and methods","volume":"25","author":"Guo","year":"2011","journal-title":"Int. J. Geogr. Inf. Sci."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1073","DOI":"10.1109\/36.752225","article-title":"Partially supervised classification using weighted unsupervised clustering","volume":"37","author":"Jeon","year":"1999","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1443","DOI":"10.1162\/089976601750264965","article-title":"Estimating the support of a high-dimensional distribution","volume":"13","author":"Scholkopf","year":"2001","journal-title":"Neural Comput."},{"key":"ref_28","unstructured":"Li, P., Xu, H., and Li, S. (2010, January 5\u20137). Urban impervious surface extraction from very high resolution imagery by one-class support vector machine. Proceedings of the 100 Years ISPRS Advancing Remote Sensing Science, Vienna, Austria."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"255","DOI":"10.14358\/PERS.76.3.255","article-title":"Land-cover change detection using one-class support vector machine","volume":"76","author":"Li","year":"2010","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.ecoinf.2007.04.003","article-title":"Mapping specific habitats from remotely sensed imagery: Support vector machine and support vector data description based classification of coastal saltmarsh habitats","volume":"2","author":"Boyd","year":"2007","journal-title":"Ecol. Inform."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1061","DOI":"10.1109\/TGRS.2006.890414","article-title":"One-class classification for mapping a specific land-cover class: SVDD classification of fenland","volume":"45","author":"Boyd","year":"2007","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"717","DOI":"10.1109\/TGRS.2010.2058578","article-title":"A positive and unlabeled learning algorithm for one-class classification of remote-sensing data","volume":"49","author":"Li","year":"2011","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Elkan, C., and Noto, K. (2008, January 24\u201327). Learning classifiers from only positive and unlabeled data. Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Las Vegas, NV, USA.","DOI":"10.1145\/1401890.1401920"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1080\/01944369608975688","article-title":"Impervious surface coverage: The emergence of a key environmental indicator","volume":"62","author":"Arnold","year":"1996","journal-title":"J. Am. Plan. Assoc."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.techsoc.2005.10.005","article-title":"Urbanization in developing countries: Current trends, future projections, and key challenges for sustainability","volume":"28","author":"Cohen","year":"2006","journal-title":"Technol. Soc."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1016\/j.jue.2004.12.002","article-title":"From sectoral to functional urban specialisation","volume":"57","author":"Duranton","year":"2005","journal-title":"J. Urban Econ."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"3668","DOI":"10.1016\/j.rse.2008.05.009","article-title":"Regional mapping of human settlements in southeastern China with multisensor remotely sensed data","volume":"112","author":"Lu","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Douglas, I., Goode, D., Houck, M., and Wang, R. (2011). The Routledge Handbook on Urban Ecology, Routledge.","DOI":"10.4324\/9780203839263"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1007\/s10708-007-9102-z","article-title":"A critical look at representations of urban areas in global maps","volume":"69","author":"Potere","year":"2007","journal-title":"GeoJournal"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"6531","DOI":"10.1080\/01431160903121134","article-title":"Mapping urban areas on a global scale: Which of the eight maps now available is more accurate?","volume":"30","author":"Potere","year":"2009","journal-title":"Int. J. Remote Sens."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"661","DOI":"10.1080\/01431160310001654950","article-title":"A global analysis of urban reflectance","volume":"26","author":"Small","year":"2005","journal-title":"Int. J. Remote Sens."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1016\/j.rse.2011.02.030","article-title":"Remote sensing of impervious surfaces in the urban areas: Requirements, methods, and trends","volume":"117","author":"Weng","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1016\/S0034-4257(98)00098-4","article-title":"Radiance calibration of DMSP-OLS low-light imaging data of human settlements","volume":"68","author":"Elvidge","year":"1999","journal-title":"Remote Sens. Environ."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"545","DOI":"10.14358\/PERS.69.5.545","article-title":"Building and evaluating models to estimate ambient population density","volume":"69","author":"Sutton","year":"2003","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"1003","DOI":"10.1080\/01431160802430693","article-title":"Modelling the population density of China at the pixel level based on DMSP\/OLS non-radiance-calibrated night-time light images","volume":"30","author":"Zhuo","year":"2009","journal-title":"Int. J. Remote Sens."},{"key":"ref_46","unstructured":"National Atlas of the United States. Available online: http:\/\/nationalatlas.gov\/atlasftp-1m.html."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1046\/j.1365-2486.1997.00115.x","article-title":"Satellite inventory of human settlements using nocturnal radiation emissions: A contribution for the global toolchest","volume":"3","author":"Elvidge","year":"1997","journal-title":"Glob. Chang. Biol."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"2003","DOI":"10.1080\/01431160310001640964","article-title":"Trends in night-time city lights and vegetation indices associated with urbanization within the conterminous USA","volume":"25","author":"Gallo","year":"2004","journal-title":"Int. J. Remote Sens."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1016\/S0034-4257(97)00046-1","article-title":"A technique for using composite DMSP\/OLS \u201cCity Lights\u201d satellite data to map urban area","volume":"61","author":"Imhoff","year":"1997","journal-title":"Remote Sens. Environ."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1016\/j.rse.2005.02.002","article-title":"Spatial analysis of global urban extent from DMSP-OLS night lights","volume":"96","author":"Small","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"3645","DOI":"10.1080\/01431160600981525","article-title":"The NightSat mission concept","volume":"28","author":"Elvidge","year":"2007","journal-title":"Int. J. Remote Sens."},{"key":"ref_52","unstructured":"US Census Bureau, Available online: http:\/\/www2.census.gov\/geo\/tiger\/TIGER2010\/UA\/2010\/."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1080\/01431161.2011.591445","article-title":"Considering plant phenology for improving the accuracy of urban impervious surface mapping in a subtropical climate regions","volume":"33","author":"Sung","year":"2012","journal-title":"Int. J. Remote Sens."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"1393","DOI":"10.14358\/PERS.73.12.1393","article-title":"Seasonal sensitivity analysis of impervious surface estimation with satellite imagery","volume":"73","author":"Wu","year":"2007","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"576","DOI":"10.1016\/j.rse.2007.05.017","article-title":"Wavelet analysis of MODIS time series to detect expansion and intensification of row-crop agriculture in Brazil","volume":"112","author":"Galford","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"679","DOI":"10.1080\/014311697219015","article-title":"The pixel: A snare and a delusion","volume":"18","author":"Fisher","year":"1997","journal-title":"Int. J. Remote Sens."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"2025","DOI":"10.1080\/014311698214848","article-title":"Synergy in remote sensing \u2013 What\u2019s in a pixel?","volume":"19","author":"Cracknell","year":"1998","journal-title":"Int. J. Remote Sens."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"453","DOI":"10.1016\/j.rse.2014.11.022","article-title":"Night-time light derived estimation of spatio-temporal characteristics of urbanization dynamics using DMSP\/OLS satellite data","volume":"158","author":"Ma","year":"2015","journal-title":"Remote Sens. Environ."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/7\/8\/10143\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T20:50:28Z","timestamp":1760215828000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/7\/8\/10143"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,8,10]]},"references-count":58,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2015,8]]}},"alternative-id":["rs70810143"],"URL":"https:\/\/doi.org\/10.3390\/rs70810143","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,8,10]]}}}