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author:

Miao, Lijuan (Miao, Lijuan.) [1] | He, Yu (He, Yu.) [2] | Kattel, Giri Raj (Kattel, Giri Raj.) [3] | Shang, Yi (Shang, Yi.) [4] | Wang, Qianfeng (Wang, Qianfeng.) [5] (Scholars:王前锋) | Zhang, Xin (Zhang, Xin.) [6]

Indexed by:

EI SCIE

Abstract:

In recent decades, the trade-off between urbanization and vegetation dynamics has broken the balance between human activities and social-economic dimensions. Our understanding towards the complex human-nature interactions, particularly the gradient of vegetation growth pattern across different city size, is still limited. Here, we selected 35 typical cities in China and classified them into five categories according to their resident population (e.g., megacities, megapolis, big cities, medium cities, and small cities). The spatial-temporal dynamics of vegetation growth for all 35 cities were inferred from the Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI). We found that averaged NDVI for all cities slightly decreased during 2000 and 2020, at a rate of 1.6 x 10(-4) per year. Most cities were characterized with relatively lower NDVI in urban areas than its surrounding area (determined by a series of buffer zones, i.e., 1-25 km outside of the city boundary). The percentage of greening pixels increased from urban area to the 25 km buffer zone at a rate of 4.7 x 10(-4) per km. We noticed that negative impact of urbanization on vegetation growth reduced as the distance to urban area increased, with an exception for megacities (e.g., Shanghai, Beijing, and Shenzhen). In megacities and megapolis, greening pixels were more concentrated at core urban area, implying that the positive urbanization effect on vegetation growth is much more apparent. We argue that urbanization in China might facilitate vegetation growth to a certain extent, for which an appropriate urban planning such as purposeful selection of city sizes could be a scientific guidance while targeting the city's sustainable development goals in future.

Keyword:

buffer zone analysis China dual influences NDVI urbanization

Community:

  • [ 1 ] [Miao, Lijuan]Nanjing Univ Informat Sci & Technol, Sch Geog Sci, Nanjing 210044, Peoples R China
  • [ 2 ] [He, Yu]Nanjing Univ Informat Sci & Technol, Sch Geog Sci, Nanjing 210044, Peoples R China
  • [ 3 ] [Kattel, Giri Raj]Nanjing Univ Informat Sci & Technol, Sch Geog Sci, Nanjing 210044, Peoples R China
  • [ 4 ] [Miao, Lijuan]Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100094, Peoples R China
  • [ 5 ] [Zhang, Xin]Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100094, Peoples R China
  • [ 6 ] [Kattel, Giri Raj]Univ Melbourne, Dept Infrastruct Engn, Melbourne, Vic 3010, Australia
  • [ 7 ] [Kattel, Giri Raj]Tsinghua Univ, Dept Hydraul Engn, Beijing 100084, Peoples R China
  • [ 8 ] [Shang, Yi]Nanjing Univ Informat Sci & Technol, Sch Atmospher Phys, Nanjing 210044, Peoples R China
  • [ 9 ] [Wang, Qianfeng]Fuzhou Univ, Coll Environm & Safety Engn, Fuzhou 350108, Peoples R China

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Source :

REMOTE SENSING

ISSN: 2072-4292

Year: 2022

Issue: 14

Volume: 14

5 . 0

JCR@2022

4 . 2 0 0

JCR@2023

ESI Discipline: GEOSCIENCES;

ESI HC Threshold:51

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count: 3

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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