Investigation of the likelihood of green infrastructure (GI) enhancement along linear waterways or on derelict sites (DS) using machine learning. - S. M. Labib (Environ. Model. Softw., 2019)

Scale effects in remotely sensed greenspace metrics and how to mitigate them for environmental health exposure assessment. - S. M. Labib; Sarah Lindley; Jonny J. Huck (Comput. Environ. Urban Syst., 2020)

To use or not to use proprietary street view images in (health and place) research? That is the question. - Marco Helbich; Matthew Danish; S. M. Labib; Britta Ricker (CoRR, 2024)

A citizen science toolkit to collect human perceptions of urban environments using open street view images. - Matthew Danish; S. M. Labib; Britta Ricker; Marco Helbich (Comput. Environ. Urban Syst., 2025)

Modelling active travel accessibility at the micro-scale using multi-source built environment data. - Corin Staves; Irena Itova; Belen Zapata-Diomedi; Audrey de Nazelle; Jenna Panter; Lucy Gunn; Alan Both; Yuchen Li; Ismail Saadi; James Woodcock; S. M. Labib (Comput. Environ. Urban Syst., 2025)

Addressing bias in the use of buffers for focal and geographically weighted analyses. - Jonathan J. Huck; Matthew Dennis; S. M. Labib (Int. J. Geogr. Inf. Sci., 2025)