Street View Imagery

Computers, Environment and Urban Systems publishes our collaborative paper that proposes a systematic analytical framework to characterise and evaluate seasonal bias using street-level images from 40 cities worldwide.

Landscape and Urban Planning publishes our work on establishing visual perception survey design guidelines supported by statistics and experiments.

The Lancet Planetary Health publishes our collaborative paper that presents a method using emerging big geospatial data to locate common mosquito breeding habitats in Rio de Janeiro.

Computers, Environment and Urban Systems publishes our collaborative paper that presents a method on mapping physical urban changes from street view imagery and understanding their socio-environmental impact.

An open-source software to facilitate the entire process of street view imagery analytics and supporting a wide range of use cases. Together with a paper in CEUS.

Cities publishes our collaborative paper that presents insights on this topic from the municipality of Rio de Janeiro.

Computers, Environment and Urban Systems publishes our work on estimating the coverage of urban environment elements in SVI and their implications.

NUS featured the PhD research of our Xiucheng Liang, which was recently published in Building and Environment.

Scientific Reports publishes our collaborative paper that presents a method to detect mosquito breeding sites using satellite and street view imagery.

A big open dataset with 10M images, together with a paper in the ISPRS Journal of Photogrammetry and Remote Sensing. And more.