In this paper, remote sensing data were used to monitor the phenological variations among and between four tree species at a continental scale in Europe. With the assumption that NDVI profiles of natural vegetation can be characterized by a main growing cycle, the evolution of vegetation phenology (SOS, LOS, MaxNDVI, and integral NDVI) was assessed using SPOT-VGT NDVI data. To obtain continental-scale NDVI data, eliminating the influence of spurious factors like snow or polar light was crucial, and the winter NDVI was first calculated for boreal regions. Then, a double logistics algorithm was chosen to estimate the phenological metrics for the whole area. Finally, the spatial variations seen in four dominant tree species (beech, birch, pine, and spruce) were evaluated, and climatic data were introduced as possible explanatory factors for those variations.