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Haiyang Xu, Huaxing Lu and Shichen Liu
The Sky View Factor (SVF) stands as a critical metric for quantitatively assessing urban spatial morphology and its estimation method based on Street View Imagery (SVI) has gained significant attention in recent years. However, most existing Street View-...
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Julia Mayer, Martin Memmel, Johannes Ruf, Dhruv Patel, Lena Hoff and Sascha Henninger
Urban tree cadastres, crucial for climate adaptation and urban planning, face challenges in maintaining accuracy and completeness. A transdisciplinary approach in Kaiserslautern, Germany, complements existing incomplete tree data with additional precise ...
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Xinrui Zheng and Mamoru Amemiya
Street greenness visibility (SGV) is associated with various health benefits and positively influences perceptions of landscape. Lowering the barriers to SGV assessments and measuring the values accurately is crucial for applying this critical landscape ...
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Albert Bourassa, Philippe Apparicio, Jérémy Gelb and Geneviève Boisjoly
Many studies have proven that urban greenness is an important factor when cyclists choose a route. Thus, detecting trees along a cycling route is a major key to assessing the quality of cycling routes and providing further arguments to improve ridership ...
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Shihang Fu, Ying Fang, Nannan Wang, Zhaomin Tong and Yaolin Liu
With the sustainable and coordinated development of cities, the formulation of urban street policies requires multiangle analysis. In regard to the existing street research, a large number of studies have focused on specific landscapes or accessibility o...
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Hong Xu, Haozun Sun, Lubin Wang, Xincan Yu and Tianyue Li
The visual quality and spatial distribution of architectural styles represent a city?s image, influence inhabitants? living conditions, and may have positive or negative social consequences which are critical to urban sensing and designing. Conventional ...
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Yiwen Tang, Jiaxin Zhang, Runjiao Liu and Yunqin Li
Streets are an important component of urban landscapes and reflect the image, quality of life, and vitality of public spaces. With the help of the Google Cityscapes urban dataset and the DeepLab-v3 deep learning model, we segmented panoramic images to ob...
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Moyang Wang, Yijun He, Huan Meng, Ye Zhang, Bao Zhu, Joseph Mango and Xiang Li
Street space quality assessment refers to the extraction and appropriate evaluation of the space quality information of urban streets, which is usually employed to improve the quality of urban planning and management. Compared to traditional approaches r...
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Abbas Najmi, Caroline M. Gevaert, Divyani Kohli, Monika Kuffer and Jati Pratomo
Mapping slums is vital for monitoring the Sustainable Development Goal (SDG) indicators. In the absence of reliable data, Remote Sensing (RS)-based approaches, particularly the Deep Learning (DL) methods, have gained recognition and high accuracies for s...
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Jonathan Cinnamon and Lindi Jahiu
The release of Google Street View in 2007 inspired several new panoramic street-level imagery platforms including Apple Look Around, Bing StreetSide, Baidu Total View, Tencent Street View, Naver Street View, and Yandex Panorama. The ever-increasing globa...
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