The properties of galaxies in the local universe have been shown to depend upon their environment. The next generation of large scale photometric surveys (e.g. DES, Euclid) are vital to gain insight into the evolution of galaxy properties and the role of galaxy environment as a function of redshift. Huge photometric datasets come at the cost of redshift precision and this impacts the measurement of galaxy environment. We study this by measuring environments using spectroscopic and photometric redshifts from the SDSS computing environments for samples with simulated photometric redshifts with a range of redshift uncertainties. We find that an environment signal can still be extracted from photometric data, even with large redshift uncertainties. The weaker environment signal per galaxy will be easily compensated for by the large samples that will become available in the next generation of photometric surveys and so it will be possible to measure environment trends in a statistical way. To this end we have begun a preliminary analysis of the galaxy environments in the  DES SPT-E field using the science verification data.