This study explores the use of SenseCam images to measure the environment. SenseCam images were collected in two neighbourhoods and annotated using a comprehensive list of features in the built, natural, and social environments. Several issues arose during this process. Some, were common to all SenseCam use (time to annotate images, obscured images, annotation error), and others were specific to using SenseCam to assess environmental features (difficult to identify features, directionality, annotator familiarity, uncertainty about which features to annotate, assessing quantity/density of features). Despite these issues SenseCam images complement existing methods of measuring the environment and allow researchers to capture the environment the wearer is exposed to. This data can then be linked to behaviour data and data from other wearable sensors. Copyright 2013 ACM.