This paper provides an initial discussion on standardization of quality assessment of thematic accuracy of classification methods applied to LiDAR (Light Detection And Ranging) data. The literature review exposes an overall lack of consensus for quality control regarding LiDAR point clouds and derived products. To mitigate this problem, the information retrieval theory is reviewed and a case study is presented aiming at the thematic accuracy analysis that precision, recall and F-score elements can provide. Fitness for use is discussed focusing on the selection of spatial data quality elements for practical applications, and an approach for algorithm evaluation is presented. Although many alternatives can be considered in solving this problem, some directions are appointed in order to continue the research.