Street View-level Imagery (SVI) is a valuable data source for studies (e.g.,
environmental assessments, green space identification or land cover
classification). While commercial SVI is available, such providers commonly
restrict copying or reuse in ways necessary for research. Open SVI datasets are
readily available from less restrictive sources, such as Mapillary, but due to
the heterogeneity of the images, these require substantial preprocessing,
filtering, and careful quality checks. We present an efficient method for
automated downloading, processing, cropping, and filtering open SVI, to be used
in a survey of human perceptions of the streets portrayed in these images. We
demonstrate our open-source reusable SVI preparation and smartphone-friendly
perception-survey software with Amsterdam (Netherlands) as the case study.
Using a citizen science approach, we collected from 331 people 22,637 ratings
about their perceptions for various criteria. We have published our software in
a public repository for future re-use and reproducibility.

Street View-level Imagery (SVI) 的自动下载、处理、裁剪和过滤方法以及用于评估人们对这些图像所描绘街道的感知的智能手机友好型调查软件的公开分析和复用方法。