Three dimensional building models provide valuable spatial information for decision support. It is preferable to maintain a building database by firstly detecting the changes followed by a reconstruction procedure. Change detection is traditionally done using multi-temporal images through spectral analyses. Those images provide two-dimensional spectral information without including shape in the third dimension. As the availability and quality of emerging LIDAR systems that make the acquisition of shape information convenient, we use new LIDAR point clouds and aerial photos to detect changes for building models. The proposed scheme comprises data pre-processing and change detection on building areas. The validation for determination of change types shows that the results can reach 86% overall accuracy for those buildings with complicated roof structure. To provide comprehensive observations, those unreliable results are scrutinized.