Identifying potential hazards in the space environment – such as space debris – is an increasingly vital and difficult task, necessary to ensure safe and sustainable activities in space as well as to preserve the night sky for astronomical research. While objects in orbit can interfere with astronomical research, there is also an under-developed opportunity in the field of astronomy to contribute to efforts to detect, characterise, identify and track these Resident Space Objects (RSOs). RSOs, including satellites and space debris, can leave streaks when passing through the fields of view of telescopes conducting astronomical surveys. Astronomers have a unique opportunity to detect RSOs by repurposing the vast volumes of data collected nightly through current and future all-sky surveys. This will open an avenue to an under-explored source of wide-field space situational awareness (SSA) data, providing a complementary use case for data already being generated. The Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) will scan the entire southern sky every 3 days. Data collected for LSST will be rapidly processed and distributed via international data brokers, with products being available to the community just minutes after being collected. It is expected that over 10 million transient alerts will be generated each night within this survey, including detections of known and unknown RSOs. This work prepares for LSST using unique, fast-cadenced, wide-field data from the Deeper, Wider, Faster (DWF) astronomical survey. This optical data is collected via the Dark Energy Camera (DECam) on the Victor M. Blanco 4-metre Telescope in Chile. The 4-metre aperture of this telescope allows us to detect faint objects down to sub-10cm at geostationary orbits, pushing debris monitoring capabilities compared to traditional ground-based SSA methods. Here we present a 1400-image pilot study into the RSOs that have been observed in DWF data.