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Does urban growth mean the loss of greenness? A multi-temporal analysis for Chinese cities

Yu, Sisi and Leichtle, Tobias and Zhang, Zengxiang and Liu, Fang and Wang, Xiao and Yan, Xue and Taubenböck, Hannes (2023) Does urban growth mean the loss of greenness? A multi-temporal analysis for Chinese cities. Science of the Total Environment, 898, p. 166373. Elsevier. doi: 10.1016/j.scitotenv.2023.166373. ISSN 0048-9697.

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Official URL: https://www.sciencedirect.com/science/article/abs/pii/S0048969723049987

Abstract

Urban growth is recognized as the conversion of vegetated surface to built-up surface. However, there is still no consensus about the urbanization-induced dynamic of vegetation greenness in view of existing literatures. In this study, we aimed to empirically investigate whether urban growth mean the loss of vegetation greenness. We selected 340 Chinese cities as the study areas, relied on consistent multi-temporal remotely sensed data and adopted linear regression analysis, annual growth area, Tail-Sen slope and Mann-Kendall models. Results show that although vegetation greening generally lagged behind urban growth in the monitoring period, a tendency of their consistent speeding up can be observed over time. By categorizing four forms and four trends of vegetation greenness dynamics related to urban growth, we revealed the diversity of Chinese cities. The former focused on the velocity of urban growth and vegetation greenness dynamics within newly urbanized area in three phases, i.e., 2003–2008, 2008–2013 and 2013–2018. The latter focused on the interannual trends of vegetation greenness dynamics among the previously existing and newly urbanized areas. The key finding is that, in over 85 % of the cities, we measured an increase of vegetation greenness along with urban growth. In addition, our detailed results allow quantifying the impact of urbanization in Chinese cities on vegetation protection and sustainable development.

Item URL in elib:https://elib.dlr.de/196858/
Document Type:Article
Title:Does urban growth mean the loss of greenness? A multi-temporal analysis for Chinese cities
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Yu, SisiChinese Academy of SciencesUNSPECIFIEDUNSPECIFIED
Leichtle, TobiasUNSPECIFIEDhttps://orcid.org/0000-0002-0852-4437UNSPECIFIED
Zhang, ZengxiangInstitute of Remote Sensing and Digital EarthUNSPECIFIEDUNSPECIFIED
Liu, FangInstitute of Remote Sensing and Digital EarthUNSPECIFIEDUNSPECIFIED
Wang, XiaoInstitute of Remote Sensing and Digital EarthUNSPECIFIEDUNSPECIFIED
Yan, XueChinese Academy of SciencesUNSPECIFIEDUNSPECIFIED
Taubenböck, HannesUNSPECIFIEDhttps://orcid.org/0000-0003-4360-9126UNSPECIFIED
Date:10 November 2023
Journal or Publication Title:Science of the Total Environment
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:898
DOI:10.1016/j.scitotenv.2023.166373
Page Range:p. 166373
Publisher:Elsevier
ISSN:0048-9697
Status:Published
Keywords:Urban growth Vegetation greenness Spatiotemporal dynamics Sustainable urban development China
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Remote Sensing and Geo Research
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Geo Risks and Civil Security
Deposited By: Leichtle, Tobias
Deposited On:18 Sep 2023 09:46
Last Modified:18 Sep 2023 09:46

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