How to best map greenery from a human perspective? Comparing computational measurements with human perception

被引:9
|
作者
Torkko, Jussi [1 ]
Poom, Age [1 ,2 ,3 ]
Willberg, Elias [1 ,3 ]
Toivonen, Tuuli [1 ,3 ]
机构
[1] Univ Helsinki, Dept Geosci & Geog, Digital Geog Lab, Helsinki, Finland
[2] Univ Tartu, Dept Geog, Mobil Lab, Tartu, Estonia
[3] Univ Helsinki, Helsinki Inst Sustainabil Sci, Inst Urban & Reg Studies, Helsinki, Finland
来源
基金
欧洲研究理事会;
关键词
urban greenery; human perception; image segmentation; green view index; point cloud methods; NDVI; street-level greenery; ABSOLUTE ERROR MAE; GOOGLE STREET VIEW; URBAN FORESTS; ASSOCIATIONS; VISIBILITY; SPACES; RMSE;
D O I
10.3389/frsc.2023.1160995
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Urban greenery has been shown to impact the quality of life in our urbanizing societies. While greenery is traditionally mapped top-down, alternative computational approaches have emerged for mapping greenery from the street level to mimic human sight. Despite the variety of these novel mapping approaches, it has remained unclear how well they reflect human perception in reality. We compared a range of both novel and traditional mapping methods with the self-reported perception of urban greenery at randomly selected study sites across Helsinki, the capital of Finland. The mapping methods included both image segmentation and point cloud-based methods to capture human perspective as well as traditional approaches taking the top-down perspective, i.e., land cover and remote sensing-based mapping methods. The results suggest that all the methods tested are strongly associated with the human perception of greenery at the street-level. However, mapped greenery values were consistently lower than the perceived values. Our results support the use of semantic image segmentation methods over color segmentation methods for greenery extraction to be closer to human perception. Point cloud-based approaches and top-down methods can be used as alternatives to image segmentation in case data coverage for the latter is limited. The results highlight a further research need for a comprehensive evaluation on how human perspective should be mimicked in different temporal and spatial conditions.
引用
收藏
页数:17
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