Exploring the spatial association between the distribution of temperature and urban morphology with green view index. [PDF]
PLoS ONEUrban heat islands will occur if city neighborhoods contain insufficient green spaces to create a comfortable environment, and residents' health will be adversely affected.
Ta-Chien Chan +3 more
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Unraveling nonlinear effects of environment features on green view index using multiple data sources and explainable machine learning [PDF]
Scientific ReportsUrban greening plays a crucial role in maintaining environmental sustainability and enhancing people’s well-being. However, limited by the shortcomings of traditional methods, studying the heterogeneity and nonlinearity between environmental factors and ...
Cai Chen +6 more
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Land, 2023 Sustainable development policies and spatial planning for maintaining greenery are crucial for all major cities in the world, and the measurement of green space indicators in planning practice needs to evolve in response to the demands of the times and ...
Yiming Liu +3 more
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A study on the coupling mechanism between the urban environment and depression perception based on deep learning and street view image [PDF]
Scientific ReportsWith the accelerated urbanization process, the impact of the urban environment on the mental health of residents has attracted extensive attention. However, previous research has primarily focused on single environmental factors, lacking a systematic ...
Haozun Sun +5 more
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Analysis of spatial heterogeneity in Xi'an's urban heat island effect using multi-source data fusion. [PDF]
PLoS ONEIn the context of global climate change, this study aims to investigate the spatial heterogeneity and driving mechanisms of the urban heat island (UHI) effect within Xi'an's second ring road area. We constructed a novel multi-source data fusion framework
Yuan Meng +5 more
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LandDespite the widespread use of street view imagery for Green View Index (GVI) analyses, variations in sampling methodologies across studies and the potential impact of these differences on the results, including associated errors, remain largely ...
Dongmin Yin, Terumitsu Hirata
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Real-Time Green View Index Assessment: AI-Driven Analysis of Urban Vegetation Using Dashcam Videos
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingThe Green View Index (GVI) is a valuable metric for assessing visible greenery in urban areas and improving urban planning. However, current GVI calculation methods, which predominantly rely on manual assessments through on-site visits or Google Street ...
Karam Masad, Fethi Filali
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People and NatureEmerging research highlights the correlations between green spaces and physical activity, with increasing attention being paid to the role of campus green spaces.
Yuheng Mao +7 more
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A Review on Recent Deep Learning-Based Semantic Segmentation for Urban Greenness Measurement [PDF]
SensorsAccurate urban green space (UGS) measurement has become crucial for landscape analysis. This paper reviews the recent technological breakthroughs in deep learning (DL)-based semantic segmentation, emphasizing efficient landscape analysis, and integrating
Doo Hong Lee +2 more
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EXPLORING THE RELATIONSHIP BETWEEN GREEN VIEW INDEX AND RUNNING ACTIVITY: A CASE STUDY OF YOGYAKARTA AND SINGAPORE USING STRAVA AND GOOGLE STREET VIEW DATA [PDF]
, 2023 The Development of Geospatial Data and Volunteered Geographic Information (VGI) has been significant and can be utilized in urban and regional planning. One of the notable data sources includes Google Street View and Strava running activity data.
Afrianto, Firman +2 more
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