This study demonstrates a procedure for preparing co-acquired ERT and SRT data from an active landslide for joint quantitative interpretation. We show the results of integrating these co-located datasets using a simple clustering approach to improve the interpretation of the inverted models. The results identify the major lithological units forming the structure of the landslide, and provide an example of the benefits of quantitative integration and interpretation.