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  2. www.sciencedirect.com › science › articleComprehensive urban space representation with varying numbers of...

    1 gru 2023 · The results demonstrate that the model with Vision-LSTM fused with street-level images outperforms other unimodal models, achieving an OA of 82.8%, Kappa of 0.540, and F1 of 0.647. These findings suggest that street-level images provide crucial information for recognizing urban villages.

  3. www.nature.com › articles › s41598/023/49845-0Assessment of street-level greenness and its association with ......

    19 gru 2023 · We adopted proximity to green space and the visual quality of street-level greenness as key components of greenness in urban areas; both are important components for building sustainable...

  4. www.archdaily.com › 945220 › revitalized-public-spaces-fostering-human-connectionsRevitalized Public Spaces: Fostering Human Connections in Cities

    18 sie 2020 · A people-centred planning that offers the opportunity to gain new public spaces by creating proximity squares in the chamfer corners and green-healthy streets where previously there were cars.

  5. www.sciencedirect.com › science › articleAutomatic assessment of public open spaces using street view...

    1 cze 2023 · Street-level imagery, in conjunction with GIS and remote sensing data, were used to establish a more time- and labour-efficient framework that could potentially be scaled up and replicated in other cities.

  6. www.tandfonline.com › doi › fullUrban oases: the social-ecological importance of small urban...

    20 lut 2024 · Small urban green spaces must be examined from diverse perspectives including from ecology and conservation, climatology, environmental psychology, public health and participatory research to in turn inform governance and management at the local neighborhood level and the city planning level.

  7. www.sciencedirect.com › science › articleMapping trees along urban street networks with deep learning and...

    1 maj 2021 · In this study, we propose a novel, low-cost method for urban tree detection and geolocation using readily available geo-tagged street-level images. We started by detecting trees and generating tree instance masks in all available panorama imagery prior to mapping detected trees in space using two deep learning architectures (s. Fig. 1). Our ...