I’ve been diving into some recent advancements in satellite imagery analysis, particularly using machine learning to enhance land cover classification accuracy. Last month, I tested out a tool called SentinelHub that significantly improved my workflow for vegetative index calculations. It’s fascinating how these technologies are evolving, and I’d love to hear if anyone else has been experimenting with similar tools or techniques lately?