S.M. Labib

TL;DR: The analysis suggests that future studies should consider conducting analyses at finer spatial scales and employing multiple exposure assessment methods to achieve a comprehensive and comparable evaluation of the association between greenspace and health along multiple pathways.

TL;DR: Evaluating the potential of GI feature extraction of Sentinel-2A (S2) and LandSat-8 (L8) (freely available images) using the Object Based Image Analysis (OBIA) method found S2 was more effective when extracting GI areas than L8, with an overall accuracy of 71.24%,.

TL;DR: Although the new VGVI has good agreement with existing street view based measures, it is found that street-only greenness visibility values are not wholly representative of total neighbourhood visibility due to the under-representation of visible greenness in locations such as backyards and community parks.

TL;DR: For instance, this paper found that 67% of students reported limiting outdoor activities and 54% reported reducing park use during the COVID-19 pandemic, citing structural reasons such as lockdowns, concerns about viral transmission, and negative emotions that obstructed active lifestyles.

TL;DR: A new lay-person friendly index is created that combines CO2 emissions from vehicles and the bio-capacity of specific traffic zones to identify these areas at the meso-scale within four ranges of values with the lowest index values representing the highest net CO2 levels.