{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T06:53:19Z","timestamp":1775890399787,"version":"3.50.1"},"reference-count":47,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2024,1,5]],"date-time":"2024-01-05T00:00:00Z","timestamp":1704412800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Natural Science Foundation of China","award":["62201191"],"award-info":[{"award-number":["62201191"]}]},{"name":"National Natural Science Foundation of China","award":["2208085QF181"],"award-info":[{"award-number":["2208085QF181"]}]},{"name":"Anhui Natural Science Foundation","award":["62201191"],"award-info":[{"award-number":["62201191"]}]},{"name":"Anhui Natural Science Foundation","award":["2208085QF181"],"award-info":[{"award-number":["2208085QF181"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The large-scale identification of urban vacant land (UVL) and informal green spaces (IGSs) using conventional identification methods is challenged by the high cost of time and resources as well as inconsistent outcomes. Moreover, the spatial\u2013temporal changes of UVL and IGSs have received limited academic attention. We introduce a methodological framework for the large-scale automatic identification of UVL and IGSs in Hangzhou, China, based on semantic segmentation. We construct and release a large-scale dataset for UVL identification, containing five different UVL categories, and one of them is IGS, with 3096 patches for training and 128 patches for evaluation. We then train five different semantic segmentation networks using the dataset and utilise Segformer to predict UVL and IGSs within the whole urban area of Hangzhou. The presented segmentation model has a hierarchically structured Transformer encoder and a multilayer perceptron decoder, which incorporates local and global information to obtain effective feature representations. Extensive experiments have been conducted to evaluate the segmentation performance of the applied Segformer. Experimental results show the good identification performance of Segformer for UVL and IGSs. Results also verify that the proposed identification framework can be effectively used to analyse the spatial\u2013temporal changes of UVL and IGSs in Hangzhou.<\/jats:p>","DOI":"10.3390\/rs16020216","type":"journal-article","created":{"date-parts":[[2024,1,5]],"date-time":"2024-01-05T05:12:17Z","timestamp":1704431537000},"page":"216","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Large-Scale Spatial\u2013Temporal Identification of Urban Vacant Land and Informal Green Spaces Using Semantic Segmentation"],"prefix":"10.3390","volume":"16","author":[{"given":"Xinlei","family":"Hu","sequence":"first","affiliation":[{"name":"Edinburgh School of Architecture and Landscape Architecture, The University of Edinburgh, Edinburgh EH1 2LE, UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8052-3877","authenticated-orcid":false,"given":"Shuo","family":"Zhuang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Information Engineering, Hefei University of Technology, Hefei 230009, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,1,5]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1016\/j.scs.2017.09.014","article-title":"Urban vacant land typology: A tool for managing urban vacant land","volume":"36","author":"Kim","year":"2018","journal-title":"Sustain. Cities Soc."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1016\/j.cities.2013.04.007","article-title":"Rethinking urban transformation: Temporary uses for vacant land","volume":"40","author":"Langhorst","year":"2014","journal-title":"Cities"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"691","DOI":"10.1080\/01426397.2017.1372167","article-title":"Shrinking cities: Rethinking landscape in depopulating urban contexts","volume":"42","author":"Lima","year":"2017","journal-title":"Landsc. Res."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"3512","DOI":"10.1002\/ldr.3125","article-title":"The smart growth of Chinese cities: Opportunities offered by vacant land","volume":"29","author":"Li","year":"2018","journal-title":"Land Degrad. Dev."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"554","DOI":"10.1080\/23812346.2021.1971420","article-title":"Urban vacant land in rapidly urbanized areas: Status, micro-level drivers, and implications","volume":"6","author":"Xiong","year":"2021","journal-title":"J. Chin. Gov."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"103664","DOI":"10.1016\/j.cities.2022.103664","article-title":"Ecosystem services of urban agriculture and prospects for scaling up production: A study of Detroit","volume":"125","author":"Newell","year":"2022","journal-title":"Cities"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"104488","DOI":"10.1016\/j.landurbplan.2022.104488","article-title":"Optimizing the co-benefits of food desert and urban heat mitigation through community garden planning","volume":"226","author":"Zhang","year":"2022","journal-title":"Landsc. Urban Plan."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"336","DOI":"10.1016\/j.ufug.2017.05.017","article-title":"Urban wilderness: Supply, demand, and access","volume":"29","author":"Kowarik","year":"2018","journal-title":"Urban For. Urban Green."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"127428","DOI":"10.1016\/j.ufug.2021.127428","article-title":"Drivers of spontaneous and cultivated species diversity in the tropical city of Zhanjiang, China","volume":"67","author":"Cheng","year":"2022","journal-title":"Urban For. Urban Green."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Jorgensen, A., and Keenan, R. (2012). Urban Wildscapes, Routledge.","DOI":"10.4324\/9780203807545"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1007\/s11524-022-00696-6","article-title":"Influence of neighborhood built environments on the outdoor free play of young children: A systematic, mixed-studies review and thematic synthesis","volume":"100","author":"Gemmell","year":"2023","journal-title":"J. Urban Health"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"127849","DOI":"10.1016\/j.ufug.2023.127849","article-title":"Multiple ecosystem services of informal green spaces: A literature review","volume":"81","author":"Luo","year":"2023","journal-title":"Urban For. Urban Green."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"384","DOI":"10.1016\/j.ufug.2016.10.007","article-title":"Public perception of spontaneous vegetation on brownfields in urban areas\u2014Results from surveys in Dresden and Leipzig (Germany)","volume":"29","author":"Mathey","year":"2018","journal-title":"Urban For. Urban Green."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"218","DOI":"10.1016\/j.landurbplan.2013.05.003","article-title":"A social-ecological assessment of vacant lots in New York City","volume":"120","author":"Kremer","year":"2013","journal-title":"Landsc. Urban Plan."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"14","DOI":"10.15302\/J-LAF-1-020039","article-title":"The Intension and Values of Urban Wildscapes","volume":"9","author":"Shao","year":"2021","journal-title":"Landsc. Arch. Front."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"10","DOI":"10.15302\/J-LAF-1-010013","article-title":"Urban Wilderness: Nature and the Potential in the Urban Cracks","volume":"9","author":"Yuan","year":"2021","journal-title":"Landsc. Arch. Front."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"127595","DOI":"10.1016\/j.ufug.2022.127595","article-title":"Exploring preferences for biodiversity and wild parks in Chinese cities: A conjoint analysis study in Hangzhou","volume":"73","author":"Hu","year":"2022","journal-title":"Urban For. Urban Green."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"559","DOI":"10.1177\/10780870022184534","article-title":"Transforming America\u2019s cities: Policies and conditions of vacant land","volume":"35","author":"Bowman","year":"2000","journal-title":"Urban Aff. Rev."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"274","DOI":"10.1061\/(ASCE)UP.1943-5444.0000154","article-title":"Dynamics of Urban Sprawl, Vacant Land, and Green Spaces on the Metropolitan Fringe of S\u00e3o Paulo, Brazil","volume":"139","author":"Sperandelli","year":"2013","journal-title":"J. Urban Plan. Dev."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/j.landusepol.2019.01.032","article-title":"Quantifying the spatial arrangement of underutilized land in a rapidly urbanized rust belt city: The case of Changchun City","volume":"83","author":"Li","year":"2019","journal-title":"Land Use Policy"},{"key":"ref_21","first-page":"2","article-title":"Inventorying Land Availability and Suitability for Community Gardens in Madison, Wisconsin","volume":"8","author":"Eanes","year":"2015","journal-title":"Cities Environ."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"102492","DOI":"10.1016\/j.cities.2019.102492","article-title":"Understanding the multidimensional morphological characteristics of urban idle land: Stage, subject, and spatial heterogeneity","volume":"97","author":"Qu","year":"2020","journal-title":"Cities"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Wang, Z., Chen, X., Huang, N., Yang, Y., Wang, L., and Wang, Y. (2022). Spatial identification and redevelopment evaluation of brownfields in the perspective of urban complex ecosystems: A case of Wuhu city, China. Int. J. Environ. Res. Public Health, 19.","DOI":"10.3390\/ijerph19010478"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"106812","DOI":"10.1016\/j.landusepol.2023.106812","article-title":"The distribution characteristics and driving mechanism of vacant land in Chengdu, China: A perspective of urban shrinkage and expansion","volume":"132","author":"Zhang","year":"2023","journal-title":"Land Use Policy"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/j.apgeog.2017.06.005","article-title":"Lots for greening: Identification of metropolitan vacant land and its potential use for cooling and agriculture in Phoenix, AZ, USA","volume":"85","author":"Smith","year":"2017","journal-title":"Appl. Geogr."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"669","DOI":"10.1007\/s11442-020-1749-0","article-title":"Urban vacant land in growing urbanization: An international review","volume":"30","author":"Song","year":"2020","journal-title":"J. Geogr. Sci."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"106084","DOI":"10.1016\/j.landusepol.2022.106084","article-title":"Identifying urban candidate brownfield sites using multi-source data: The case of Changchun City, China","volume":"117","author":"Song","year":"2022","journal-title":"Land Use Policy"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"104384","DOI":"10.1016\/j.landurbplan.2022.104384","article-title":"Large-scale automatic identification of urban vacant land using semantic segmentation of high-resolution remote sensing images","volume":"222","author":"Mao","year":"2022","journal-title":"Landsc. Urban Plan."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Sun, Y., Hu, H., Han, Y., Wang, Z., and Zheng, X. (2023). Large-Scale Automatic Identification of Industrial Vacant Land. Int. J. Geo-Inf., 12.","DOI":"10.3390\/ijgi12100409"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"101729","DOI":"10.1016\/j.compenvurbsys.2021.101729","article-title":"Automatic detection of urban vacant land: An open-source approach for sustainable cities","volume":"91","author":"Xu","year":"2022","journal-title":"Comput. Environ. Urban Syst."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Rupprecht, C.D.D., and Byrne, J.A. (2014). Informal urban green-space: Comparison of quantity and characteristics in Brisbane, Australia and Sapporo, Japan. PLoS ONE, 9.","DOI":"10.1371\/journal.pone.0099784"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"127155","DOI":"10.1016\/j.ufug.2021.127155","article-title":"Intended wilderness as a Nature-based Solution: Status, identification and management of urban spontaneous vegetation in cities","volume":"62","author":"Sikorska","year":"2021","journal-title":"Urban For. Urban Green."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"106746","DOI":"10.1016\/j.landusepol.2023.106746","article-title":"Beyond urban parks: Mapping informal green spaces in an urban\u2013peri-urban gradient","volume":"131","author":"Biernacka","year":"2023","journal-title":"Land Use Policy"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"101279","DOI":"10.1016\/j.ecoinf.2021.101279","article-title":"Amazon forest cover change mapping based on semantic segmentation by U-Nets","volume":"62","author":"Bragagnolo","year":"2021","journal-title":"Ecol. Inform."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Ghandorh, H., Boulila, W., Masood, S., Koubaa, A., Ahmed, F., and Ahmad, J. (2022). Semantic Segmentation and Edge Detection\u2014Approach to Road Detection in Very High Resolution Satellite Images. Remote Sens., 14.","DOI":"10.3390\/rs14030613"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"5215512","DOI":"10.1109\/TGRS.2021.3108781","article-title":"Boundary Enhancement Semantic Segmentation for Building Extraction From Remote Sensed Image","volume":"60","author":"Jung","year":"2022","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Guo, M., Liu, H., Xu, Y., and Huang, Y. (2020). Building extraction based on U-net with an attention block and multiple losses. Remote Sens., 12.","DOI":"10.3390\/rs12091400"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"2481","DOI":"10.1109\/TPAMI.2016.2644615","article-title":"SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation","volume":"39","author":"Badrinarayanan","year":"2017","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"4408715","DOI":"10.1109\/TGRS.2022.3144165","article-title":"Swin Transformer Embedding UNet for Remote Sensing Image Semantic Segmentation","volume":"60","author":"He","year":"2022","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_40","unstructured":"Sun, K., Zhao, Y., Jiang, B., Cheng, T., Xiao, B., Liu, D., Mu, Y., Wang, X., Liu, W., and Wang, J. (2019). High-Resolution Representations for Labeling Pixels and Regions. arXiv."},{"key":"ref_41","unstructured":"Hangzhou Municipal Statistical Bureau (2022). Hangzhou Municipal Statistical Bureau. Hangzhou Statistical Yearbook 2022: Population and Employment, Hangzhou Statistical Yearbook 2022."},{"key":"ref_42","unstructured":"Hangzhou Municipal Statistical Bureau (2022). Hangzhou Municipal Statistical Bureau. Hangzhou Statistical Yearbook 2022: General Survey, Hangzhou Statistical Yearbook 2022."},{"key":"ref_43","unstructured":"Hangzhou Municipal Government (2001). Master Plan of Hangzhou (2001\u20132020)."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Chen, L.C., Zhu, Y., Papandreou, G., Schroff, F., and Adam, H. (2018, January 8\u201314). Encoder-decoder with atrous separable convolution for semantic image segmentation. Proceedings of the European Conference on Computer Vision (ECCV), Munich, Germany.","DOI":"10.1007\/978-3-030-01234-2_49"},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Zhao, H., Shi, J., Qi, X., Wang, X., and Jia, J. (2017, January 21\u201326). Pyramid scene parsing network. Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, USA.","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref_46","first-page":"12077","article-title":"SegFormer: Simple and efficient design for semantic segmentation with transformers","volume":"34","author":"Xie","year":"2021","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref_47","unstructured":"(2023, March 30). MMSegmentation: OpenMMLab Semantic Segmentation Toolbox and Benchmark. Available online: https:\/\/github.com\/open-mmlab\/mmsegmentation."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/2\/216\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T13:40:41Z","timestamp":1760103641000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/2\/216"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,5]]},"references-count":47,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2024,1]]}},"alternative-id":["rs16020216"],"URL":"https:\/\/doi.org\/10.3390\/rs16020216","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,5]]}}}