{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T19:04:16Z","timestamp":1774292656348,"version":"3.50.1"},"reference-count":41,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2023,3,30]],"date-time":"2023-03-30T00:00:00Z","timestamp":1680134400000},"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":["42171237"],"award-info":[{"award-number":["42171237"]}],"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>How to recognize the land use change in urban villages during dynamic transformation in Haidian District, Beijing, has become a hot topic with the promotion of urban renewal. The GF-1 high-resolution remote sensing images of 2013, 2015, and 2020 were used in this study to reflect the land use change in urban villages before and after urban renewal by using a hierarchical machine learning recognition method based on scene-based and random forest classification. The overall scale of urban village blocks in Haidian was 10.46 km2, showing the distribution pattern along the traffic arteries in 2013. In 2015, it dropped to 10.11 km2. The scale of urban village blocks in 2020 decreased to 1.02 km2, 9.75% of that in 2013. Three kinds of urban village renewal logic are revealed by further taking Chuanying Village as an example: \u201curban village\u2013blue\u2013green space\u201d, \u201curban village\u2013real estate\u201d, and \u201curban village\u2013municipal facilities\u201d.<\/jats:p>","DOI":"10.3390\/rs15071835","type":"journal-article","created":{"date-parts":[[2023,3,30]],"date-time":"2023-03-30T01:05:26Z","timestamp":1680138326000},"page":"1835","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["The Vanishing and Renewal Landscape of Urban Villages Using High-Resolution Remote Sensing: The Case of Haidian District in Beijing"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-2616-7290","authenticated-orcid":false,"given":"Hubin","family":"Wei","sequence":"first","affiliation":[{"name":"Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China"},{"name":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-1137-0301","authenticated-orcid":false,"given":"Yue","family":"Cao","sequence":"additional","affiliation":[{"name":"Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China"},{"name":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China"}]},{"given":"Wei","family":"Qi","sequence":"additional","affiliation":[{"name":"Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China"},{"name":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,3,30]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"547","DOI":"10.1038\/ngeo2985","article-title":"National baselines for the Sustainable Development Goals assessed in the SDG Index and Dashboards","volume":"10","author":"Kroll","year":"2017","journal-title":"Nat. Geosci."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1177\/0956247811398604","article-title":"Ill-health and poverty: A literature review on health in informal settlements","volume":"23","author":"Sverdlik","year":"2011","journal-title":"Environ. Urban"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/j.habitatint.2009.08.003","article-title":"Urban villages under China\u2019s rapid urbanization: Unregulated assets and transitional neighbourhoods","volume":"34","author":"Liu","year":"2010","journal-title":"Habitat Int."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"756","DOI":"10.1007\/s11442-015-1200-0","article-title":"Modeling the spatial distribution of urban population during the daytime and at night based on land use: A case study in Beijing","volume":"25","author":"Qi","year":"2015","journal-title":"China J. Geogr. Sci."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1431","DOI":"10.1007\/s11442-017-1445-x","article-title":"A proposal for the theoretical analysis of the interactive coupled effects between urbanization and the eco-environment in mega-urban agglomerations","volume":"27","author":"Fang","year":"2017","journal-title":"J. Geogr. Sci."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1016\/j.cities.2017.08.008","article-title":"Urban village redevelopment in Beijing: The state-dominated formalization of informal housing","volume":"72","author":"Liu","year":"2018","journal-title":"Cities"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1353\/dem.2004.0010","article-title":"The household registration system and social stratification in China: 1955\u20131996","volume":"41","author":"Wu","year":"2004","journal-title":"Demography"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"102415","DOI":"10.1016\/j.cities.2019.102415","article-title":"Geographical transformations of urban sprawl: Exploring the spatial heterogeneity across cities in China 1992\u20132015","volume":"105","author":"Deng","year":"2020","journal-title":"Cities"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"923","DOI":"10.1080\/02723638.2013.778694","article-title":"Residential Satisfaction in China\u2019s Informal Settlements: A Case Study of Beijing, Shanghai, and Guangzhou","volume":"34","author":"Li","year":"2013","journal-title":"Urban Geogr."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"103334","DOI":"10.1016\/j.cities.2021.103334","article-title":"Access, density and mix of informal settlement: Comparing urban villages in China and India","volume":"117","year":"2021","journal-title":"Cities"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1712","DOI":"10.1177\/0042098020915822","article-title":"Hidden homes? Uncovering Sydney\u2019s informal housing market","volume":"58","author":"Gurran","year":"2021","journal-title":"Urban Stud."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"425","DOI":"10.2747\/1539-7216.50.4.425","article-title":"Urban Villages in China: A 2008 Survey of Migrant Settlements in Beijing","volume":"50","author":"Zheng","year":"2009","journal-title":"Eurasian Geogr. Econ."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"04020055","DOI":"10.1061\/(ASCE)UP.1943-5444.0000645","article-title":"Impact of Urban Village Disamenity on Neighboring Residential Properties: Empirical Evidence from Nanjing through Hedonic Pricing Model Appraisal","volume":"147","author":"Hussain","year":"2021","journal-title":"J. Urban Plan. Dev."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"957","DOI":"10.1111\/j.1468-2427.2009.00891.x","article-title":"Urbanization and Informal Development in China: Urban Villages in Shenzhen","volume":"33","author":"Wang","year":"2009","journal-title":"Int. J. Urban Reg. Res."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1919","DOI":"10.1177\/0042098012466600","article-title":"Informality and the Development and Demolition of Urban Villages in the Chinese Peri-urban Area","volume":"50","author":"Wu","year":"2013","journal-title":"Urban Stud."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1016\/j.habitatint.2014.03.009","article-title":"Redevelopment of urban village in China\u2014A step towards an effective urban policy? A case study of Liede village in Guangzhou","volume":"43","author":"Li","year":"2014","journal-title":"Habitat Int."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/j.habitatint.2013.08.004","article-title":"Industrial land development in urban villages in China: A property rights perspective","volume":"41","author":"Lai","year":"2014","journal-title":"Habitat Int."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"2060","DOI":"10.1080\/13658816.2022.2046756","article-title":"Identify urban building functions with multisource data: A case study in Guangzhou, China","volume":"36","author":"Deng","year":"2022","journal-title":"Int. J. Geogr. Inf. Sci."},{"key":"ref_19","first-page":"102661","article-title":"A hierarchical approach for fine-grained urban villages recognition fusing remote and social sensing data","volume":"106","author":"Chen","year":"2022","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Zhao, L., Ren, H., Cui, C., and Huang, Y. (2020). A Partition-Based Detection of Urban Villages Using High-Resolution Remote Sensing Imagery in Guangzhou, China. Remote Sens., 12.","DOI":"10.3390\/rs12142334"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"2148","DOI":"10.3390\/rs3102148","article-title":"Urban Sprawl Analysis and Modeling in Asmara, Eritrea","volume":"3","author":"Tewolde","year":"2011","journal-title":"Remote Sens."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1016\/j.landurbplan.2017.09.019","article-title":"A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects","volume":"168","author":"Liu","year":"2017","journal-title":"Landsc. Urban Plan."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Guan, Q., Yang, L., Pan, N., Lin, J., Xu, C., Wang, F., and Liu, Z. (2018). Greening and Browning of the Hexi Corridor in Northwest China: Spatial Patterns and Responses to Climatic Variability and Anthropogenic Drivers. Remote Sens., 10.","DOI":"10.3390\/rs10081270"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"304","DOI":"10.1111\/j.1467-8306.2004.09402009.x","article-title":"On the First Law of Geography: A Reply","volume":"94","author":"Tobler","year":"2004","journal-title":"Assoc. Am. Geogr."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1527","DOI":"10.1177\/2399808320938796","article-title":"Integrating multiple data to identify building functions in China\u2019s urban villages","volume":"48","author":"Niu","year":"2021","journal-title":"Environ. Plan B Urban Anal. City Sci."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"3251","DOI":"10.1109\/JSTARS.2021.3055784","article-title":"Multitemporal Relearning With Convolutional LSTM Models for Land Use Classification","volume":"14","author":"Zhu","year":"2021","journal-title":"IEEE J. Sel. Top Appl. Earth Obs. Remote Sens."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Liu, H., and Wu, C. (2020). Developing a Scene-Based Triangulated Irregular Network (TIN) Technique for Individual Tree Crown Reconstruction with LiDAR Data. Forests, 11.","DOI":"10.3390\/f11010028"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Gao, Y., Shahab, S., and Ahmadpoor, N. (2020). Morphology of Urban Villages in China: A Case Study of Dayuan Village in Guangzhou. Urban Sci., 4.","DOI":"10.3390\/urbansci4020023"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"111402","DOI":"10.1016\/j.rse.2019.111402","article-title":"Remote sensing for agricultural applications: A meta-review","volume":"236","author":"Weiss","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_30","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 \u2018urban ecoregions\u2019","volume":"114","author":"Schneider","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1016\/j.isprsjprs.2017.06.001","article-title":"A review of supervised object-based land-cover image classification","volume":"130","author":"Ma","year":"2017","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/j.isprsjprs.2011.11.002","article-title":"An assessment of the effectiveness of a random forest classifier for land-cover classification","volume":"67","author":"Ghimire","year":"2012","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"2742","DOI":"10.1068\/a44696","article-title":"The Land-Use Diversity in Urban Villages in Shenzhen","volume":"44","author":"Hao","year":"2012","journal-title":"Environ. Plan A Econ. Sci."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1016\/j.cities.2016.10.008","article-title":"The subjective wellbeing of migrants in Guangzhou, China: The impacts of the social and physical environment","volume":"60","author":"Liu","year":"2017","journal-title":"Cities"},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Zhu, Q., Xu, X., Sun, Z., Liang, D., An, X., Chen, L., Yang, G., Huang, L., Xu, S., and Yang, M. (2022). Estimation of Winter Wheat Residue Coverage Based on GF-1 Imagery and Machine Learning Algorithm. Agronomy, 12.","DOI":"10.3390\/agronomy12051051"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Calka, B., and Moscicka, A. (2022). Usefulness of OSM and BDOT10k Data for Developing Tactile Maps of Historic Parks. Appl. Sci., 12.","DOI":"10.3390\/app12199731"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1038\/nature25181","article-title":"A global map of travel time to cities to assess inequalities in accessibility in 2015","volume":"553","author":"Weiss","year":"2018","journal-title":"Nature"},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Chen, Y., and Jiang, L. (2022). Influencing Factors of Direct Carbon Emissions of Households in Urban Villages in Guangzhou, China. Int. J. Environ. Res. Public Health, 19.","DOI":"10.3390\/ijerph192417054"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"3639","DOI":"10.1109\/TGRS.2014.2380779","article-title":"Spatiotemporal Detection and Analysis of Urban Villages in Mega City Regions of China Using High-Resolution Remotely Sensed Imagery","volume":"53","author":"Huang","year":"2014","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Wu, Y., Zhang, Y., Han, Z., Zhang, S., and Li, X. (2022). Examining the Planning Policies of Urban Villages Guided by China\u2019s New-Type Urbanization: A Case Study of Hangzhou City. Int. J. Environ. Res. Public Health, 19.","DOI":"10.3390\/ijerph192416596"},{"key":"ref_41","first-page":"2177","article-title":"Spatial Analyses of the Urban Village Development Process in Shenzhen, China","volume":"37","author":"Hao","year":"2013","journal-title":"Int. J. Geogr. Inf. Sci."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/7\/1835\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T19:06:38Z","timestamp":1760123198000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/7\/1835"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,30]]},"references-count":41,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2023,4]]}},"alternative-id":["rs15071835"],"URL":"https:\/\/doi.org\/10.3390\/rs15071835","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,3,30]]}}}