Quantifying Ecological Landscape Quality of Urban Street by Open Street View Images: A Case Study of Xiamen Island, China

نویسندگان

چکیده

With the unprecedented urbanization processes around world, cities have become main areas of political, cultural, and economic creation, but these regions also caused environmental degradation even affected public health. Ecological landscape is considered as an important way to mitigate impact exposure on urban residents. Therefore, quantifying quality road exploring its spatial heterogeneity obtain basic data environment provide ideas for residents improve will be a meaningful preparation further planning. In this study, we proposed framework achieve automatic street by integrating mass view images based deep learning ecology. We conducted case study in Xiamen Island mapped series distribution ecological indicators including PLAND, LPI, AI, DIVISION, FRAC_MN, LSI SHDI. Additionally, quantified entropy weight method. Our results showed streetscape roundabout was relatively lower, while central area presented belt-shaped with excellent quality. suggested that managers could build vertical greening some streets order greater well-being it found there were still large uncertainties mechanism human beings. strengthen in-depth understanding beings process interaction between beings, continue form general models enhance ability insight into ecosystem.

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ژورنال

عنوان ژورنال: Remote Sensing

سال: 2022

ISSN: ['2315-4632', '2315-4675']

DOI: https://doi.org/10.3390/rs14143360