Crowdsourced geographic data has many benefits but is limited by our lack of knowledge of its quality. Many papers have looked at assessing and assuring the quality of crowdsourced geographic data sourced from an open crowd, without any limitations on the make-up of the crowd. This paper presents a crowdsourcing model and methodology for assessing and assuring the quality of crowdsourced geographic data from a known crowd.