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Multi-Scale impacts of street view-based green view index on urban thermal environment within the third ring road of nanchang
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Bei-jie GAO1, 2, 3, Qiu-lin XIONG1, 2, 3, *, Wen-bo CHEN1, 2, 3, Hai-qing HE1, 2, 3, Yi-rong HUANG1, 2, 3, Qing-wen HONG1, 2, 3, Ke-ke YANG1, 2, 3, Xin-yue ZHAO1, 2, 3
China Environmental Science | 2025, 45(11) : 6353 - 6365
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China Environmental Science | 2025, 45(11): 6353-6365
• Environmental Ecology •
Multi-Scale impacts of street view-based green view index on urban thermal environment within the third ring road of nanchang
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Bei-jie GAO1, 2, 3, Qiu-lin XIONG1, 2, 3, *, Wen-bo CHEN1, 2, 3, Hai-qing HE1, 2, 3, Yi-rong HUANG1, 2, 3, Qing-wen HONG1, 2, 3, Ke-ke YANG1, 2, 3, Xin-yue ZHAO1, 2, 3
Affiliations
  • 1.School of Surveying and Geoinformation Engineering, East China University of Technology, Nanchang 330013, China
  • 2.Jiangxi Key Laboratory of Watershed Ecological Process and Information, East China University of Technology, Nanchang 330013, China
  • 3.Nanchang Key Laboratory of Landscape Process and Territorial Spatial Ecological Restoration, East China University of Technology, Nanchang 330013, China
Published: 2025-11-20
Outline
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This study was conducted within the area enclosed by the Third Ring Road of Nanchang, China. The Green View Index (GVI) was calculated using semantic segmentation of panoramic street view imagery, while Land Surface Temperature (LST) was retrieved through the Google Earth Engine (GEE) platform. Hotspot analysis, profile analysis, and Geographically Weighted Regression (GWR) model were employed to investigate the spatiotemporal patterns of GVI and LST and explore the scale-dependent impact of GVI on LST. The main conclusions are as follows: (1) From 2017 to 2021, the entire study area showed a declining trend, with 60.9% of the area experiencing a reduction in GVI. However, the local GVI had been enhanced and had formed a continuous green advantage zone, and the proportion of statistically significant hotspots increased from 31.6% to 41.1%. (2) During the same period, the overall LST had increased, and the Urban Heat Island (UHI) effect had intensified. The proportion of high and sub-high temperature areas rose sharply from 6.5% to 25.0%, and the proportion of strong and extremely strong UHI areas expanded from 46.0% to 50.8%. (3) The relationship between GVI and LST was foundto be spatial non-stationarity, with R2 values varyingacross different grid scales. At the 500m5500m resolution, the GWR model achieved the best performance, with R2 values of 0.58, 0.65, and 0.70 in 2017, 2019, and 2021, respectively. (4) A significant scale effect was identified in the impact of GVI on LST, and the 500m×500m grid was identified as the optimal analysis scale within the study area. The researchresults reveal the spatiotemporal variations of urban GVI and its multi-scale impacts on LST. This not only helps to understandthe impactof urban greening on LST from the perspective of three-dimensional greenvolume, but also providestheoretical references for urban planning.

green view index (GVI)  /  land surface temperature (LST)  /  spatiotemporal patterns  /  multi-scale  /  geographically weighted regression
高蓓杰, 熊秋林, 陈文波, 何海清, 黄怡容, 洪清文, 杨柯柯, 赵鑫玥. 基于街景数据的南昌市三环内绿视率对城市热环境的多尺度影响分析. 中国环境科学, 2025 , 45 (11) : 6353 -6365 .
Bei-jie GAO, Qiu-lin XIONG, Wen-bo CHEN, Hai-qing HE, Yi-rong HUANG, Qing-wen HONG, Ke-ke YANG, Xin-yue ZHAO. Multi-Scale impacts of street view-based green view index on urban thermal environment within the third ring road of nanchang[J]. China Environmental Science, 2025 , 45 (11) : 6353 -6365 .
Year 2025 volume 45 Issue 11
69
21
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  • Receive Date:2025-04-02
  • Online Date:2026-10-08
  • Published:2025-11-20
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  • Received:2025-04-02
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Affiliations
    1.School of Surveying and Geoinformation Engineering, East China University of Technology, Nanchang 330013, China
    2.Jiangxi Key Laboratory of Watershed Ecological Process and Information, East China University of Technology, Nanchang 330013, China
    3.Nanchang Key Laboratory of Landscape Process and Territorial Spatial Ecological Restoration, East China University of Technology, Nanchang 330013, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
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Percentage of
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Genus
种数
Number of
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Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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