RADARSAT-2 SAR data were used to develop a monitoring program for Canadian forest lands with the aim to provide information on forest cutblocks and to develop algorithms for the detection of forest disturbances. Three study sites were selected in Canada and were representative of different forest types and terrain. Due to large data volumes and the need for efficiency, an automated end-to-end solution was implemented. The automated solution included image coregistration, temporal filtering, detection of forest disturbances, and delineation of the disturbances. A critical component of the overall solution was the validation: cutblock information and Landsat imagery were used. Overall there was good agreement between the changes detected in the RADARSAT-2 data and the validation data. False positives were detected that were mainly due to changes from non-forestry natural sources and anthropogenic sources. In general, the separation of the forest and the non-forest areas-of-changes was relatively straightforward since these areas did not intersect. Further validation is planned, with data acquisition over the three study sites slated for the summer of 2016.