is the previous three-component system plus a separately trained, small temporal CNN—not a new version of the spatial–temporal backbone. “Above” means the existing SAM-optimizer network + training-derived prototypes + original temporal CNN. The additional CNN uses the same labeled sample lists, fixed 32×32 crops and seed value 3407. We call it a control because we trained it alongside the attention-CNN and Transformer candidates to determine whether those architectural changes helped beyond simply training another model. For each spatial pixel it reads the sequence of ten Sentinel-2 spectral bands. Its convolutions operate along time, not across neighboring image pixels: It has 28,306…