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Article: Characterizing annual dynamics of urban form at the horizontal and vertical dimensions using long-term Landsat time series data

TitleCharacterizing annual dynamics of urban form at the horizontal and vertical dimensions using long-term Landsat time series data
Authors
KeywordsBuilt-up
Height dynamics
Outward
Upward
Urban growth
Urban renewal
Issue Date1-Sep-2023
PublisherElsevier
Citation
ISPRS Journal of Photogrammetry and Remote Sensing, 2023, v. 203, p. 199-210 How to Cite?
AbstractThe dynamics of built-up height are a crucial aspect of urban form, enabling the characterization of urban growth patterns and the attainment of sustainable development goals. While past studies have focused on urban extent mapping, little has been done to reveal changes in vertical structures in built-up areas. In this study, we reconstructed annual urban form dynamics in Beijing, China, from 1990 to 2020, utilizing Landsat time-series data. First, we identified urban growth and renewal years using a temporal segmentation approach. Then, we reconstructed the annual dynamics of built-up heights through logical reasoning, using the reference height in 2020 and the identified changing years. We evaluated the derived dataset and analyzed the urban growth patterns (i.e., upward and outward) over the past three decades. The detected change years are reliable, with an overall accuracy of 88% (±1 year). Meanwhile, the reconstructed built-up height data showed good agreement with surveyed results (R2: 0.92), with a root mean square error of 2.87 m and a mean absolute error of 2.07 m. Most expanded built-up areas during 1990–2020 were located at the fringe of the central city, and about 16% experiencing multiple changes. Overall, outward growth was prominent in Beijing during the first decade, while upward growth became dominant in most districts thereafter. The proposed framework provides a new way to reveal annual urban form dynamics through time series analysis, with great potential to support relevant studies such as urban climate modeling and carbon emissions studies.
Persistent Identifierhttp://hdl.handle.net/10722/338795
ISSN
2023 Impact Factor: 10.6
2023 SCImago Journal Rankings: 3.760
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWang, Yixuan-
dc.contributor.authorLi, Xuecao-
dc.contributor.authorYin, Peiyi-
dc.contributor.authorYu, Guojiang-
dc.contributor.authorCao, Wenting-
dc.contributor.authorLiu, Jinxiu-
dc.contributor.authorPei, Lin-
dc.contributor.authorHu, Tengyun-
dc.contributor.authorZhou, Yuyu-
dc.contributor.authorLiu, Xiaoping-
dc.contributor.authorHuang, Jianxi-
dc.contributor.authorGong, Peng-
dc.date.accessioned2024-03-11T10:31:35Z-
dc.date.available2024-03-11T10:31:35Z-
dc.date.issued2023-09-01-
dc.identifier.citationISPRS Journal of Photogrammetry and Remote Sensing, 2023, v. 203, p. 199-210-
dc.identifier.issn0924-2716-
dc.identifier.urihttp://hdl.handle.net/10722/338795-
dc.description.abstractThe dynamics of built-up height are a crucial aspect of urban form, enabling the characterization of urban growth patterns and the attainment of sustainable development goals. While past studies have focused on urban extent mapping, little has been done to reveal changes in vertical structures in built-up areas. In this study, we reconstructed annual urban form dynamics in Beijing, China, from 1990 to 2020, utilizing Landsat time-series data. First, we identified urban growth and renewal years using a temporal segmentation approach. Then, we reconstructed the annual dynamics of built-up heights through logical reasoning, using the reference height in 2020 and the identified changing years. We evaluated the derived dataset and analyzed the urban growth patterns (i.e., upward and outward) over the past three decades. The detected change years are reliable, with an overall accuracy of 88% (±1 year). Meanwhile, the reconstructed built-up height data showed good agreement with surveyed results (R2: 0.92), with a root mean square error of 2.87 m and a mean absolute error of 2.07 m. Most expanded built-up areas during 1990–2020 were located at the fringe of the central city, and about 16% experiencing multiple changes. Overall, outward growth was prominent in Beijing during the first decade, while upward growth became dominant in most districts thereafter. The proposed framework provides a new way to reveal annual urban form dynamics through time series analysis, with great potential to support relevant studies such as urban climate modeling and carbon emissions studies.-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofISPRS Journal of Photogrammetry and Remote Sensing-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectBuilt-up-
dc.subjectHeight dynamics-
dc.subjectOutward-
dc.subjectUpward-
dc.subjectUrban growth-
dc.subjectUrban renewal-
dc.titleCharacterizing annual dynamics of urban form at the horizontal and vertical dimensions using long-term Landsat time series data-
dc.typeArticle-
dc.identifier.doi10.1016/j.isprsjprs.2023.07.025-
dc.identifier.scopuseid_2-s2.0-85166948091-
dc.identifier.volume203-
dc.identifier.spage199-
dc.identifier.epage210-
dc.identifier.eissn1872-8235-
dc.identifier.isiWOS:001062938800001-
dc.identifier.issnl0924-2716-

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