Scots pine (Pinus sylvestris Linneo) and maritime pine (Pinus pinaster Aiton) forests are essential to the local economy in the province of Soria (Spain). Thus, regeneration care through thinning is key, not only from a silvicultural point of view, but also in terms of wildfire prevention. However, this operation incurs costs for forest owners. The availability of high-precision technologies such as LiDAR and high upgradability such as satellite imagery provide an excellent opportunity to automate the location of these areas suitable for thinning and therefore reducing costs. Free national LiDAR data are available for the year 2010, whereas Sentinel-2 obtains images every 3-5 days. Given this, the National Forest Inventory (2019) was used to identify plots that meet the conditions for applying thinning: pure stands of Scots or maritime pines where at least 80% of trees range between 0 and 5 meters’ height or between 5 and 9 meters’ height with a density above 1000 trees/hectare. In this way, the Sentinel 2 and LiDAR variables were used to create an automatic classification model using the random forest algorithm. The model was extrapolated on the area of the Spanish Forest Map established as monospecific stands of Scots pine and maritime pine. As a result, an updated map of the areas suitable for thinning in the province of Soria was obtained. The validation of the results showed a producer’s and user’s accuracy of 62% and 76%, respectively, for the Scots pine and of 66% and 75%, respectively, for the maritime pine. In conclusion, this map can be considered as a tool that facilitates the location of thinning areas.